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Journal articles on the topic 'Web navigation behavior'
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Jindal, Honey, and Neetu Sardana. "An Empirical Analysis of Web Navigation Prediction Techniques." Journal of Cases on Information Technology 19, no. 1 (January 2017): 1–14. http://dx.doi.org/10.4018/jcit.2017010101.
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With the advancement of Information Technology, web is growing rapidly and it has became necessary part of our daily lives. It is mandate to study the navigation behavior of the user to improve the quality of web site design for personalization and further recommendation. Analysis of web navigation behavior heavily relies on navigational models. This paper is an effort to give insights of current state-of-the-art techniques used for web navigation prediction. These navigation models are broadly classified into three categories: sequential mining, classification and clustering. Analytical analysis is performed on all the categories used in web navigation prediction. Further empirical analysis is performed on popular techniques of each category Markov Model (sequential mining), Support vector machine (classification) and K-means (clustering) on the common platform to measure the effectiveness of these techniques.
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Narvekar, Meera, and Shaikh Sakina Banu. "Predicting User's Web Navigation Behavior Using Hybrid Approach." Procedia Computer Science 45 (2015): 3–12. http://dx.doi.org/10.1016/j.procs.2015.03.073.
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Rezaee, Esmaeel, and S. Alireza Hashemi Golpayegani. "Website user content navigation behavior modeling using time series neural networks." Web Intelligence 17, no. 3 (August 16, 2019): 259–70. http://dx.doi.org/10.3233/web-190417.
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Hariri, Nadjla, Maryam Asadi, and Yazdan Mansourian. "The impact of users’ verbal/imagery cognitive styles on their Web search behavior." Aslib Journal of Information Management 66, no. 4 (July 15, 2014): 401–23. http://dx.doi.org/10.1108/ajim-02-2013-0019.
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Purpose – The purpose of this paper is to investigate the effects of verbal-imagery cognitive styles of information searching behavior of users in using the Web. Design/methodology/approach – In all, 44 participants were recruited for this study. The participants’ cognitive styles were measured by using Riding's Cognitive Style Analysis test. Three search tasks were designed based on Kim's search task definitions. Moreover, an individual lab session was arranged and then participants’ memos were analyzed using content analysis. Findings – In all, 48 strategies in four categories of behaviors in searching the Web were identified. There were associations between users’ cognitive styles and their information searching behavior. The participants’ selection of the search initiation behaviors varied, so that imagers suffered from more varied initial behavior than verbalizers. The verbalizers tended to search in a narrow area, then broadening the area and following structured navigation and reading behavior to process information, while imagers tended to search in a general area, then narrowing down the search and adopting mixed navigational styles and mixed behaviors to process information. This study revealed that there was a difference in search performance of verbalizers and imagers descriptively, as verbalizers spent more time compared to imagers and imagers visited more nodes than verbalizers for the tasks completion. In addition, the task was an important variable influencing the search performance. Based on the key findings (search initiation behaviors, formulating search queries, navigational behaviors, information processing behaviors), a conceptual pattern of Web searching and cognitive styles is presented. Research limitations/implications – The study provides a new understanding of Web users’ information search behavior based on cognitive styles which contributes to the theoretical basis of Web search research. It also raises various questions within the context of user studies Originality/value – The paper adopted a mixed approach in the area of information searching on the Web. A valuable contribution lies in the methods developed.
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Ramanathaiah, Ramakrishnan M., Bhawna Nigam, and M. Niranjanamurthy. "Construction of User’s Navigation Sessions from Web Logs for Web Usage Mining." Journal of Computational and Theoretical Nanoscience 17, no. 9 (July 1, 2020): 4432–37. http://dx.doi.org/10.1166/jctn.2020.9091.
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Web Usage Mining applies fewer techniques in record data to pull out the behavior of users. The knowledge mined from the web log can be utilized in web personalization, Prediction, prefetching, restructuring of web sites etc. It consists of three steps in preprocessing, pattern detection and analysis. Web log information is typically noisy and uncertain and preprocessing is a significant process ahead of mining. The Patterns discovered after applying the mining techniques are dependent on the accuracy of the weblog which in turn depends on the preprocessing phase. The output of preprocessing should be the user’s navigation session file. In this paper the techniques of preprocessing and the method for construction of user’s navigation session file is proposed.
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Richter, Tobias, Johannes Naumann, and Stephan Noller. "LOGPAT: A semi-automatic way to analyze hypertext navigation behavior." Swiss Journal of Psychology 62, no. 2 (June 2003): 113–20. http://dx.doi.org/10.1024//1421-0185.62.2.113.
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In hypertext research, log files represent a useful source of information about users’ navigational behavior. Since log files can contain enormous amounts of data, methods for data reduction with a minimum loss of information are needed. In this paper, LOGPAT (Log file Pattern Analysis) is presented, a Web-based tool for analyzing log files. With LOGPAT, single-unit, sequential, and graph-theoretic measures (including distance matrices) for the description of user navigation can be computed. The paper gives an overview of these methods and discusses their value for psychological research on hypertext. Components and analysis options of LOGPAT are described in detail. The program’s basic options are illustrated by data from a study on learning with hypertext.
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Arora, Anshu Saxena, and Mahesh S. Raisinghani. "Redefining Web Users' Optimal Flow Experiences in Online Environments." International Journal of Web-Based Learning and Teaching Technologies 4, no. 3 (July 2009): 1–21. http://dx.doi.org/10.4018/jwbltt.2009090801.
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The article highlights a research study on consumer navigation behavior through the Web users’ optimal Flow experiences in the online environments. The research study establishes the empirical groundwork for measuring Web users’ Flow experiences in the Web environment. The article proposes a comprehensive definition of Flow on the basis of Comprehensive Process (Flow) Model of Network Navigation, considering that the Flow concept is a multidimensional concept in the “multi-activity” medium of the Web. Flow has been defined as a multi-dimensional and context-specific concept. Furthermore, the research article proposes that there are 10 Flow constructs (also called “the antecedents of Flow”) along with the three states of Flow, namely, Perfect Flow, Imperfect-Intensive Flow, and Imperfect Flow. Consumer Behavior on the Web is studied using the Flow concept for three categories of Flow users, namely, Perfect and Imperfect-Intensive Flow (PIIF) users, Imperfect Flow (IF) users, and Non-Flow (NF) users. These users achieve Flow depending on 10 Flow-constructs and three Flow states. Empirical results suggest a direct relationship between the Flow states and the Flow user categories and between expected Web user in the future (EXPUSE) and the Flow user categories. This research study provides a basis for future researchers to study consumer navigation behavior on the Web using the Flow concept for three categories of Flow users through 10 Flow constructs and three Flow states. The research has significant implications for theory and practice.
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P. G., Om Prakash, Jaya A., Ananthakumaran S., and Ganesh G. "Predicting the user navigation pattern from web logs using weighted support approach." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 3 (March 10, 2021): 1722. http://dx.doi.org/10.11591/ijeecs.v21.i3.pp1722-1730.
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<p class="Abstract"><span id="docs-internal-guid-f3d644ee-7fff-d3c1-15b5-f75fe28d3e2d"><span>A weblog contains the history of previous user navigation pattern. If the customer accesses any portal of organization website, the log is generated in web server, based on sequence of user transaction. The weblog stored in the web server as unstructured format, it contains both positive and negative responses i.e. successful and unsuccessful responses, identifying the positive and negative response is not useful for identifying user behavior of individual user. Initially the successful response is taken, from that conversion of unstructured log format to structured log format through data preprocessing technique. The process of data preprocessor contains three step process data cleaning, user identification and session identification. The pattern is discovered by preprocessing technique from that user navigation pattern is generated. From that navigation pattern classifier technique is applied, the conversion of sequence pattern to sub sequence pattern by clustering technique. This research is to identify the user navigation pattern from weblog. The Improved Spanning classification algorithm classifies the frequent, infrequent and semi frequent pattern. To identify the optimal webpage using classificatopn algorithm from thet user behavior is identified.</span></span></p>
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Papatheocharous, Efi, Marios Belk, Panagiotis Germanakos, and George Samaras. "Towards Implicit User Modeling Based on Artificial Intelligence, Cognitive Styles and Web Interaction Data." International Journal on Artificial Intelligence Tools 23, no. 02 (April 2014): 1440009. http://dx.doi.org/10.1142/s0218213014400090.
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A key challenge of adaptive interactive systems is to provide a positive user experience by extracting implicitly the users' unique characteristics through their interactions with the system, and dynamically adapting and personalizing the system's content presentation and functionality. Among the different dimensions of individual differences that could be considered, this work utilizes the cognitive styles of users as determinant factors for personalization. The overarching goal of this paper is to increase our understanding about the effect of cognitive styles of users on their navigation behavior and content representation preference. We propose a Web-based tool, utilizing Artificial Intelligence techniques, to implicitly capture and find any possible relations between the cognitive styles of users and their characteristics in navigation behavior and content representation preference by using their Web interaction data. The proposed tool has been evaluated with a user study revealing that cognitive styles of users have an effect on their navigation behavior and content representation preference. Research works like the reported one are useful for improving implicit and intelligent user modeling in engineering adaptive interactive systems.
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Abu Al-Khair, Mona M., M. Koutb, and H. Kelash. "Building and Evaluating an Adaptive Smart Web Pages." Journal of Communications and Computer Engineering 3, no. 1 (October 16, 2012): 30. http://dx.doi.org/10.20454/jcce.2013.306.
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Each year the number of consumers and the variety of their interests increase. As a result, providers are seeking ways to infer the customer's interests and to adapt their websites to make the content of interest more easily accessible. Assume that past navigation behavior as an indicator of the user's interests. Then, the records of this behavior, kept in the web-server logs, can be mined to extract the user's interests. On this principal, recommendations can be generated, to help old and new website's visitors to find the information about their interest faster.
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Bindu Madhuri, Ch, J. Anand Chandulal, K. Ramya, and M. Phanidra. "Analysis of Users’ Web Navigation Behavior using GRPA with Variable Length Markov Chains." International Journal of Data Mining & Knowledge Management Process 1, no. 2 (March 30, 2011): 1–20. http://dx.doi.org/10.5121/ijdkp.2011.1201.
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Lawless, Kimberly A., P. G. Schrader, and Hayley J. Mayall. "Acquisition of Information Online: Knowledge, Navigation and Learning Outcomes." Journal of Literacy Research 39, no. 3 (September 2007): 289–306. http://dx.doi.org/10.1080/10862960701613086.
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Research suggests that the World Wide Web (WWW) represents the intersection of at least two domains: content and technology. This investigation was designed to examine the relationship between prior knowledge and WWW browsing outcomes (i.e., navigation behavior and knowledge gain) within the context of a genetics Web site. Students randomly assigned to a treatment group were given a prereading activity designed to increase their prior knowledge within the domain of genetics. This group demonstrated significantly higher learning outcome scores than students in the control group. The treatment group also spent more time browsing, viewed more multimedia resources, and utilized more in-text embedded links. These results and others are interpreted in terms of instructional decisions and recommendations for future research.
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Raposo-Rivas, Manuela, Mª Esther Martínez-Figueira, José Antonio Sarmiento-Campos, and Angeles Parrilla Latas. "Teens' Behavior Patterns on the Web: Surfing or Wrecking?" Digital Education Review, no. 39 (July 1, 2021): 60–75. http://dx.doi.org/10.1344/der.2021.39.60-75.
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Adolescents’ relationship with technology is controversial both because of the possibilities it offers and because of the risks it entails, even being perceived by them as a real need. In order to improve the knowledge about it, a non-experimental research of transversal style has been carried out using a methodology based on data mining. 1,048 students of Secondary Education participated and answered a questionnaire about their use of the Internet and social networks. Six factors were indentified, which could be recognized as patterns of behavior in the network. They are grouped around: (1) the communicative and informative dimension of the resources; (2) the one related to the security in the network; (3) the risk and vulnerability; (4) the specialized information both general and specific, (5) the transfer and acquisition of goods; and (6) the leisure and parental surveillance. The main findings show that their habits are mostly oriented towards the transfer and transaction along with the maintenance of security, avoinding situations that could involve risk and vulnerability in navigation. The identification of these subgroups is timely in order to develop training and digital literacy actions.
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Bahadori, Maryam, Ali Harounabadi, and Mehdi Sadeghzadeh. "Modeling user navigation behavior in web by colored Petri nets to determine the user's interest in recommending web pages." Management science letters 4, no. 1 (January 1, 2013): 359–66. http://dx.doi.org/10.5267/j.msl.2012.11.020.
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Ghavamipoor, Hoda, S. Alireza Hashemi Golpayegani, and Maryam Shahpasand. "A QoS-sensitive model for e-commerce customer behavior." Journal of Research in Interactive Marketing 11, no. 4 (September 10, 2017): 380–97. http://dx.doi.org/10.1108/jrim-08-2016-0080.
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Purpose In this paper, a Quality of Service-sensitive customer behavior model graph (QoS-CBMG) is proposed for use in service quality adaptation in e-commerce systems. Success in achieving customer satisfaction and maximizing profit in e-commerce is highly dependent on the QoS provided. However, providing high-level QoS for all customers in all Web sessions is often deemed costly and inefficient. Therefore, a QoS-sensitive model for formulating QoS-aware offers to customers is required. The paper aims to respond to this necessity. Design/methodology/approach Process mining is adopted as the knowledge extraction technique for developing a QoS-CBMG. If it is assumed that user navigation on a website is a process, then clickstreams during one user’s navigations can be considered process steps. Findings The application of both QoS-CBMG (the new model) and CBMG (the classic version) to the same real data set demonstrated that the proposed method outperforms CBMG due to its reduction of average absolute error in the measurement scale. This finding also verifies the assumption that customer behavior is sensitive to the level of QoS. Research limitations/implications From a theoretical viewpoint, the obtained QoS-CBMG facilitates the adaption in e-commerce systems, which leads to conduct the user to the desired behavior by tuning QoS levels in different Web sessions in a dynamic manner. This implication is due to the fact that QoS-CBMG can predict the upcoming clickstream of the customer at different QoS levels. Practical implications Using the proposed model for the adaptation of service quality in e-commerce websites not only results in the efficient management of the provider’s resources but also encourages customer purchases from the website and increases profitability. It is noteworthy that with the advent of cloud computing, e-commerce websites are enabled to provide various levels of QoS for their customers by supplying their basic services (e.g. infrastructure, platform) through cloud platforms. Originality/value According to the best of our knowledge, no previous model has taken into account the QoS dimension for customer behavior modeling. The main contribution of this paper is to propose a CBMG that is sensitive to the QoS provided to customers during their navigation to formulate QoS-aware offers to them.
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Singh, Satyaveer, and Mahendra Singh Aswal. "Taxonomical Classification of Web Usage Mining Applications and its Ontological Representation." Asian Journal of Computer Science and Technology 7, no. 3 (November 5, 2018): 39–43. http://dx.doi.org/10.51983/ajcst-2018.7.3.1902.
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Web usage mining is used to find out fascinating consumer navigation patterns which can be applied to a lot of real-world problems, such as enriching websites or pages, generating newly topic or product recommendations and consumer behavior studies, etc. In this paper, an attempt has been made to provide a taxonomical classification of web usage mining applications with two levels of hierarchy. Further, the ontology for various categories of the web usage mining applications has been developed and to prove the completeness of proposed taxonomy, a rigorous case study has been performed. The comparative study with other existing classifications of web usage mining applications has also been performed.
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Ramesh, C., K. V. Chalapathi Rao, and A. Govardhan. "Using Domain Ontology and Sequential Rule Mining for Extracting Behavior Patterns from Web Navigation Logs." CVR Journal of Science & Technology 7, no. 1 (December 1, 2014): 8–12. http://dx.doi.org/10.32377/cvrjst0702.
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SUJATHA, R., T. M. RAJALAXMI, and B. PRABA. "FUZZY HIDDEN MARKOV CHAIN FOR WEB APPLICATIONS." International Journal of Information Technology & Decision Making 12, no. 04 (July 2013): 813–35. http://dx.doi.org/10.1142/s0219622013500302.
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Hidden Markov model (HMM) has become increasingly popular in the last several years. Real-world problems such as prediction of web navigation are uncertain in nature; in this case, HMM is less appropriate i.e., we cannot assign certain probability values while in fuzzy set theory everything has elasticity. In addition to that, a theory of possibility on fuzzy sets has been developed to handle uncertainity. Thus, we propose a fuzzy hidden Markov chain (FHMC) on possibility space and solve three basic problems of classical HMM in our proposed model to overcome the ambiguous situation. Client's browsing behavior is an interesting aspect in web access. Analysis of this issue can be of great benefit in discovering user's behavior in this way we have applied our proposed model to our institution's website ( www.ssn.edu.in ) to identify how well a given model matches a given observation sequence, next to find the corresponding state sequence which is the best to explain the given observation sequence and then to attempt to optimize the model parameters so as to describe best how a given observation sequence comes about. The solution of these problems help us to know the authenticity of the website.
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Belk, Marios, Efi Papatheocharous, Panagiotis Germanakos, and George Samaras. "Modeling users on the World Wide Web based on cognitive factors, navigation behavior and clustering techniques." Journal of Systems and Software 86, no. 12 (December 2013): 2995–3012. http://dx.doi.org/10.1016/j.jss.2013.04.029.
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Cepeda, Catia, Ricardo Tonet, Daniel Noronha Osorio, Hugo P. Silva, Edouard Battegay, Marcus Cheetham, and Hugo Gamboa. "Latent: A Flexible Data Collection Tool to Research Human Behavior in the Context of Web Navigation." IEEE Access 7 (2019): 77659–73. http://dx.doi.org/10.1109/access.2019.2916996.
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Gwizdka, Jacek, and Ian Spence. "What Can Searching Behavior Tell Us About the Difficulty of Information Tasks? A Study of Web Navigation." Proceedings of the American Society for Information Science and Technology 43, no. 1 (October 10, 2007): 1–22. http://dx.doi.org/10.1002/meet.14504301167.
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KUKULENZ, DIRK, and JOSEF PAULI. "PREDICTION OF NAVIGATION PROFILES IN A DISTRIBUTED INTERNET ENVIRONMENT THROUGH LEARNING OF GRAPH DISTRIBUTIONS." International Journal of Computational Intelligence and Applications 02, no. 03 (September 2002): 303–12. http://dx.doi.org/10.1142/s1469026802000610.
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Collaborative filtering techniques in the Internet are a means to make predictions about the behavior of a certain user based on the observation of former users. Frequently in literature the exploited information is contained in the access-log files of web servers storing requested data objects. However with additional effort on the server side it is possible to register, from which to which data object a client actually navigates. In this article the profile of a user in a distributed web environment will be modeled by the set of his navigation decisions between data objects. Such a set can be regarded as a graph with the nodes being the requested data objects and the edges being the decisions. A method is presented to learn the distribution of such graphs based on distance functions between graphs and the application of clustering techniques. The estimated distribution is used to predict future navigation decisions of new users. Results with randomly generated graphs show properties of the new algorithm. A measure to estimate the prediction quality for observed profiles is presented.
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Herwanto, Dene, Aulia Fashanah Hadining, and Rianita Puspasari. "Analisis Evaluasi Usability Web Akademik Fakultas Teknik Unsika dengan Model UWIS." Jurnal Media Teknik dan Sistem Industri 2, no. 1 (May 11, 2018): 20. http://dx.doi.org/10.35194/jmtsi.v2i1.275.
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Abstract— Utilization of information and communication technology (ICT) in education becomes an absolute thing to do, in order to improve the quality of education, service effectiveness and become a strength for higher education institutions. One application of aspects of ICT in college is academic web. In the Faculty of Engineering University Singaperbangsa Karawang, academic information system is known by the web SIAKAD (Academic Information System) Faculty of Engineering Unsika. Web SIAKAD FT Unsika aims to manage data and facilitate the integration associated with academic information, but on its application may occur mismatch between procedures established in the web with its implementation. Therefore, please note the behavior of SIAKAD web users, also conducted testing of the academic web interface. This is considering that the web SIAKAD FT Unsika is still in development stage. Stages in this study started from a preliminary study of the use of the web SIAKAD and continued with research on the usability of the web SIAKAD. From the results of the study note that there are five dimensions that affect web usability SIAKAD FT Unsika that must be repaired by the web developers, namely Responsiveness (RS), Web design (WD), Assurance (A), Readability (RD), and Navigation (N).Keywords— academic web; usability; university
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Duke Hyun Choi and Byeong Seok Ahn. "Eliciting Customer Preferences for Products From Navigation Behavior on the Web: A Multicriteria Decision Approach With Implicit Feedback." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 39, no. 4 (July 2009): 880–89. http://dx.doi.org/10.1109/tsmca.2009.2018636.
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Coates, Mildred. "Electronic theses and dissertations." Library Hi Tech 32, no. 2 (June 10, 2014): 285–99. http://dx.doi.org/10.1108/lht-08-2013-0102.
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Purpose – The purpose of this paper is to examine two research questions: first, How do users in different locations find Auburn University Electronic Theses and Dissertations (ETDs)? Second, do users in different locations interact differently with the collection and, if so, how? Design/methodology/approach – Google Analytics data for user visits, landing pages, and page views were separated into groups based on user location. Visits data were also correlated with source (referring web site), and landing pages and page views were grouped by type. Findings – Most local users came to the repository via Auburn University web pages. This group usually landed on the collection home page and used internal navigation pages to find what they needed. Submission page views showed that most ETD depositors were local. Most out-of-state users came to the repository via web search engines. This group usually landed directly on bibliographic information pages for individual ETDs. They used internal navigation pages less frequently than local users. Users located within the state but outside of the local area interacted with the collection in a way that was intermediate between these two groups. Practical implications – Institutions interested in improving repository access for depositors will probably find it helpful to focus on in-state usage reports, while institutions seeking to improve access for end-users should exclude in-state users from their assessments. Originality/value – This is the first detailed examination of ETDs usage published since 2001 and shows how filtering tools available in Google Analytics allow comparisons of user behavior based on location and source (referring web site).
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Narayan Jadhav, Jyoti, and B. Arunkumar. "Web Page Recommendation System Using Laplace Correction Dependent Probability and Chronological Dragonfly-Based Clustering." International Journal of Engineering & Technology 7, no. 3.27 (August 15, 2018): 290. http://dx.doi.org/10.14419/ijet.v7i3.27.17894.
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The web page recommenders predict and recommend the web pages to the users based on the behavior of their search history. The web page recommender system analyzes the semantics of the navigation by the user and predicts the related web pages for the user. Various recommender systems have been developed in the literature for the web page recommendation. In the first work, a web page recommendation system was developed using weighted sequential pattern mining and Wu and Li Index Fuzzy clustering (WLI-FC) algorithm. In this work, the Chronological based Dragonfly Algorithm (Chronological-DA) is proposed for recommending the webpage to the users. The proposed Chronological-DA algorithm includes the concept of the chronological for recommending the webpage based on the history of pages visited by the users. Also, the proposed recommendation system uses the concept of Laplacian correction for defining the recommendation probability. Simulation of the proposed webpage recommendation system with the chronological-DA uses the standard CTI and the MSNBC database for the experimentation, and the experimental results prove that the proposed scheme has better values of 1, 0.964, and 0.973 for precision, recall, and F-measure respectively.
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Hoffman, Donna L., and Thomas P. Novak. "Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations." Journal of Marketing 60, no. 3 (July 1996): 50–68. http://dx.doi.org/10.1177/002224299606000304.
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The authors address the role of marketing in hypermedia computer-mediated environments (CMEs). Their approach considers hypermedia CMEs to be large-scale (i.e., national or global) networked environments, of which the World Wide Web on the Internet is the first and current global implementation. They introduce marketers to this revolutionary new medium, propose a structural model of consumer navigation behavior in a CME that incorporates the notion of flow, and examine a series of research issues and marketing implications that follow from the model.
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Basok, B. M. M., and S. L. Frenkel. "Formalized approaches to assessing the usability of the user interface of web applications." Russian Technological Journal 9, no. 2 (April 26, 2021): 7–21. http://dx.doi.org/10.32362/2500-316x-2021-9-2-7-21.
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The paper proposes an approach based on the use of mathematical methods for modeling the behavior of the designed web application and user behavior. This approach allows an evaluation of the usability of this application. The paper discusses the models of user interfaces (UI), which are used to assess the convenience of site navigation. The possibility of using two classes of UI models is shown – structural-logical (ontological) and probabilistic. Models of the first class are used to assess the degree of comprehensibility of the proposed UI navigation on the search web resource in the accepted terms. For this, mathematically defined measures of similarity between the elements of the UI and their relationships and the elements of a hypothetical (but plausible) model of the user’s perception of the search area in a given subject area are used. In particular, the paper substantiates the possibility of using Jaccard and Levenshtein lexicographic distance metrics as such measures of similarity. Probabilistic models are based on Markov chains. With the help of these models, in the presence of reliable statistical data collected during the trial operation of a web application or its prototype, it is proposed to estimate the average number of user steps required to solve a specific problem of finding information about a subject area object. The paper provides some recommendations on the use of similarity measures to improve the usability of the UI of web applications. In addition, data on the technique for estimating the probabilities of transitions of Markov chains and semantic connections are presented. To clarify the features of the UI analysis models proposed in the article, the website of the RTU MIREA Admission Committee (https://priem.mirea.ru) is provided with a fairly simple organization that provides a search for information about admission and training at the University. The application of the approach described in the paper, along with traditional methods of testing the usability of UI, will increase the overall level of usability of applications, and thereby reduce the cost of identifying and correcting related errors.
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Sanci, Lena, Sylvia Kauer, Sharmala Thuraisingam, Sandra Davidson, Ann-Maree Duncan, Patty Chondros, Cathrine Mihalopoulos, and Kerrie Buhagiar. "Effectiveness of a Mental Health Service Navigation Website (Link) for Young Adults: Randomized Controlled Trial." JMIR Mental Health 6, no. 10 (October 17, 2019): e13189. http://dx.doi.org/10.2196/13189.
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Background Mental health and substance use disorders are the main causes of disability among adolescents and young adults yet fewer than half experiencing these problems seek professional help. Young people frequently search the Web for health information and services, suggesting that Web-based modalities might promote help-seeking among young people who need it. To support young people in their help-seeking, we developed a Web-based mental health service navigation website called Link. Link is based on the Theory of Planned Behavior and connects young people with treatment based on the type and severity of mental health symptoms that they report. Objective The study aimed to investigate the effect of Link on young people’s positive affect (PA) compared with usual help-seeking strategies immediately post intervention. Secondary objectives included testing the effect of Link on negative affect (NA), psychological distress, barriers to help-seeking, and help-seeking intentions. Methods Young people, aged between 18 and 25 years, were recruited on the Web from an open access website to participate in a randomized controlled trial. Participants were stratified by gender and psychological distress into either the intervention arm (Link) or the control arm (usual help-seeking strategies). Baseline, immediate postintervention, 1-month, and 3-month surveys were self-reported and administered on the Web. Measures included the PA and NA scales, Kessler psychological distress scale (K10), barriers to adolescent help-seeking scale (BASH), and the general help-seeking questionnaire (GHSQ). Results In total 413 young people were recruited to the trial (intervention, n=205; control, n=208) and 78% (160/205) of those randomized to the intervention arm visited the Link website. There was no evidence to support a difference between the intervention and control arms on the primary outcome, with PA increasing equally by approximately 30% between baseline and 3 months in both arms. NA decreased for the intervention arm compared with the control arm with a difference of 1.4 (95% CI 0.2-2.5) points immediately after the intervention and 2.6 (95% CI 1.1-4.1) at 1 month. K10 scores were unchanged and remained high in both arms. No changes were found on the BASH or GHSQ; however, participants in the intervention arm appeared more satisfied with their help-seeking process and outcomes at 1 and 3 months postintervention. Conclusions The process of prompting young people to seek mental health information and services appears to improve their affective state and increase help-seeking intentions, regardless of whether they use a Web-based dedicated youth-focused tool, such as Link, or their usual search strategies. However, young people report greater satisfaction using tools designed specifically for them, which may encourage future help-seeking. The ability of Web-based tools to match mental health needs with appropriate care should be explored further. Clinical Trial Australian New Zealand Clinical Trials Registry ACTRN12614001223628; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366731
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Mylsami, T., and B. L. Shivakumar. "Effectiveness of Ant Colony Optimization for Weighted Page Rank Algorithm in Web Access." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 7 (July 30, 2017): 375. http://dx.doi.org/10.23956/ijarcsse/v7i7/0223.
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In general the web is growing very rapidly and data generation is also vast and high. Search Engines play an eminent role in retrieving data from web. The user searching for a topic in a web and it retrieves more than hundreds of searchresults as websites. Among the all websites it is difficult for the user to access all the web pages to find relevant information. Weighted Page rank algorithms play a dominant role to make navigation easier to the user. The popularity of a web page depends on the number of its in links and out links and each webpage gets a proportional page rank value. This algorithm considers only link structure not thecontent of the page, so it returns lesssignificant pages to the user query. To overcome the above issues the study focuses on Ant Colony optimization. This study proposes application of ant colony algorithm for modified weighted page rank algorithm. The ACO concept will discovery of redundant components, use clustering based on the structure similarity or web behavior for user and similar WebPages matching. User and webpage similarity matching using Ant colony Optimization based clustering will leads to better access of the webpage in less time and required webpage.
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KATSANOS, CHRISTOS, NIKOLAOS TSELIOS, and NIKOLAOS AVOURIS. "A SURVEY OF TOOLS SUPPORTING DESIGN AND EVALUATION OF WEBSITES BASED ON MODELS OF HUMAN INFORMATION INTERACTION." International Journal on Artificial Intelligence Tools 19, no. 06 (December 2010): 755–81. http://dx.doi.org/10.1142/s0218213010000418.
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This paper presents and discusses a survey of existing tools to support design and evaluation of websites, with special emphasis on improving the information navigation process. The amount of information of today's websites, the continuous evolution of the medium and the heterogeneity of typical users' profiles, make the website design task particularly hard. The presented tools are mainly based on recent models of Web usage behavior, and involve various natural language and semantic similarity modeling methods. Validation studies of the presented tools have shown that they can support effectively various phases of the website design lifecycle including information structuring, hyperlink evaluation and assessment of alternative designs. In this paper, existing techniques are discussed, the aspects of Web design that (should and) could be better supported are identified and suggestions are made on extensions of existing approaches to better support the usability evaluation process.
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Semuel, Hatane. "ONLINE CONSUMER ANALYSIS OF INDONESIAN TRADITIONAL BATIK PRODUCTS." Jurnal Manajemen dan Kewirausahaan 22, no. 1 (March 30, 2020): 11–20. http://dx.doi.org/10.9744/jmk.22.1.11-20.
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This study aims to understand website user behavior and online shopping behavior intentions through website facilities and to address the problems of Indonesian traditional batik SMEs in carrying out online marketing. Web services are seen from the security, navigation capabilities, and visual appeal of the website. The study was conducted on 150 students and 96 SME batik owners who have positioned themselves as potential consumers. The respondents were asked to visit the Legendabatik.com website and then answer the questionnaire in the google form. The results found that all website facilities have a positive effect on intention to use, only visual appeal has a direct positive effect on online behavioral intentions, while intention to use has a strong positive influence on online behavioral intentions. So website management needs to prioritize the visual appeal to increase online shopping behavior intention
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Koo, Wanmo, and Hyejune Park. "Critical Atmospheric Cues in Designing Online Stores: The Case of Amazon.com." International Journal of Marketing Studies 9, no. 1 (January 16, 2017): 37. http://dx.doi.org/10.5539/ijms.v9n1p37.
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Online store environments have changed due to advancements in broadband speed and web development technologies. Despite the widespread real-time interactive features in online stores, social cues have been overlooked in a great number of taxonomies of online store atmospheric cues. To fill the gap, this study considers social cues with other atmospheric cues (i.e., visual, information, and navigation) in the taxonomy, and examines critical atmospheric cues that can generate a pleasure emotional response. The study also investigates whether the pleasure emotional response can lead to the approach behavior of consumers. Amazon.com, the U.S. top online pure player, is used as the specific research setting, and the results demonstrate that all atmospheric cues except visual cues can generate the pleasure emotional response. The pleasure emotional response turned out to be a significant predictor of the approach behavior.
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Karydis, Ioannis, Markos Avlonitis, Konstantinos Chorianopoulos, and Spyros Sioutas. "Identifying Important Segments in Videos: A Collective Intelligence Approach." International Journal on Artificial Intelligence Tools 23, no. 02 (April 2014): 1440010. http://dx.doi.org/10.1142/s0218213014400107.
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This work studies collective intelligence behavior of Web users that share and watch video content. Accordingly, it is proposed that the aggregated users' video activity exhibits characteristic patterns. Such patterns may be used in order to infer important video scenes leading thus to collective intelligence concerning the video content. To this end, experimentation is based on users' interactions (e.g., pause, seek/scrub) that have been gathered in a controlled user experiment with information-rich videos. Collective information seeking behavior is then modeled by means of the corresponding probability distribution function. Thus, it is argued that the bell-shaped reference patterns are shown to significantly correlate with predefined scenes of interest for each video, as annotated by the users. In this way, the observed collective intelligence may be used to provide a video-segment detection tool that identifies the importance of video scenes. Accordingly, both a stochastic and a pattern matching approach are applied on the users' interactions information. The results received indicate increased accuracy in identifying the areas selected by users as having high importance information. In practice, the proposed techniques might improve both navigation within videos on the web as well as video search results with personalised video thumbnails.
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Gupta, Shalini, and Veer Sain Dixit. "A Meta-Heuristic Algorithm Approximating Optimized Recommendations for E-Commerce Business Promotions." International Journal of Information Technology Project Management 11, no. 2 (April 2020): 23–49. http://dx.doi.org/10.4018/ijitpm.2020040103.
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To provide personalized services such as online-product recommendations, it is usually necessary to model clickstream behavior of users if implicit preferences are taken into account. To accomplish this, web log mining is a promising approach that mines clickstream sessions and depicts frequent sequential paths that a customer follows while browsing e-commerce websites. Strong attributes are identified from the navigation behavior of users. These attributes reflect absolute preference (AP) of the customer towards a product viewed. The preferences are obtained only for the products clicked. These preferences are further refined by calculating the sequential preference (SP) of the user for the products. This paper proposes an intelligent recommender system known as SAPRS (sequential absolute preference-based recommender system) that embed these two approaches that are integrated to improve the quality of recommendation. The performance is evaluated using information retrieval methods. Extensive experiments were carried out to evaluate the proposed approach against state-of-the-art methods.
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Foster, Emily, Sherri Oliver Stuver, Carole Kathleen Tremonti, Craig A. Bunnell, Joanna M. Hamilton, Joseph O. Jacobson, and David Michael Jackman. "Understanding practice variation with a clinical pathways system: Differences by physician and practice factors, and changes in practice over time." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): 2079. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.2079.
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2079 Background: Clinical oncology pathways aim to support clinical decision-making and reduce unwarranted practice variation across an enterprise. The Dana-Farber Cancer Institute (DFCI) implemented web-based oncology pathways with DFCI-customized content in each disease center and at each of its satellites. Our pre-specified aim was an on-pathway rate of 70-85%. Methods: Treatment decisions were electronically captured as on- or off- pathway. Monthly metrics about usage and on-pathway rate were shared with users on a monthly basis. Physicians were categorized into quintiles based on the calculated on-pathway performance during the first 90 days of each individual’s use of the platform. On-pathway rates were then calculated for days 91-360 to study changes in behavior over time. Physician and practice factors were examined to determine any differences by initial on-pathway quintile classification. Results: 122 physicians were eligible for inclusion in this analysis (minimum 5 navigations in each study period). On-pathway rates showed significant variability in the initial 90-day period: quintile 1 median 100%, quintiles 2-4 80.2%, and quintile 5 50% (Table). In the follow-up period, median on-pathway rates shifted into the pre-specified goal range for all groups. Physicians in quintiles 1 or 5 of initial on-pathway rate were more likely to have fewer total navigations than were physicians in quintiles 2-4 (p=0.003). While no other physician or practice characteristic differed significantly by on-pathway rate group, physicians in the first or last quintile were more likely to be in an academic setting, have a PhD, or navigate fewer pathways. Conclusions: Over time, the deployment of a web-based clinical pathways program resulted in greater uniformity in physician practice, based on on-pathway rate. Familiarity with the pathways platform and its navigation, monthly feedback about usage, and evolution of content over time are some factors that might have played a role. [Table: see text]
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Singh, Vidisha, Marek Ostaszewski, George D. Kalliolias, Gilles Chiocchia, Robert Olaso, Elisabeth Petit-Teixeira, Tomáš Helikar, and Anna Niarakis. "Computational Systems Biology Approach for the Study of Rheumatoid Arthritis: From a Molecular Map to a Dynamical Model." Genomics and Computational Biology 4, no. 1 (December 6, 2017): 100050. http://dx.doi.org/10.18547/gcb.2018.vol4.iss1.e100050.
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In this work we present a systematic effort to summarize current biological pathway knowledge concerning Rheumatoid Arthritis (RA). We are constructing a detailed molecular map based on exhaustive literature scanning, strict curation criteria, re-evaluation of previously published attempts and most importantly experts’ advice. The RA map will be web-published in the coming months in the form of an interactive map, using the MINERVA platform, allowing for easy access, navigation and search of all molecular pathways implicated in RA, serving thus, as an on line knowledgebase for the disease. Moreover the map could be used as a template for Omics data visualization offering a first insight about the pathways affected in different experimental datasets. The second goal of the project is a dynamical study focused on synovial fibroblasts’ behavior under different initial conditions specific to RA, as recent studies have shown that synovial fibroblasts play a crucial role in driving the persistent, destructive characteristics of the disease. Leaning on the RA knowledgebase and using the web platform Cell Collective, we are currently building a Boolean large scale dynamical model for the study of RA fibroblasts’ activation.
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Morita, Junya. "Research work in the Applied Cognitive Modelling Lab." Impact 2020, no. 7 (November 30, 2020): 9–11. http://dx.doi.org/10.21820/23987073.2020.7.9.
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Dr Junya Morita is based at the Applied Cognitive Modelling Laboratory (ACML) within the Department of Behavior Informatics at Shizuoka University in Japan. His team is conducting investigations that use computational models in an effort to improve our understanding of human minds and their inner workings. There are currently two directions of study underway at ACML. The first is concerned with theoretical studies of cognitive modelling, where the team try to construct models that explain human minds as computational and algorithmic levels. The second direction of study is the application of computational cognitive models. Morita and his team believe that there are fundamental values within the basic endeavours of cognitive science and are working to prove these values exist and are valid. Current topics of application include education, driving, entertainment, graphic design, language development, web navigation and mental illness.
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Nurr Sadikan, Siti Fairuz, Azizul Azhar Ramli, Mohd Farhan Md. Fudzee, Siti Sapura Jailani, Mohd Ali Mohd Isa, Prasanna Ramakrisnan, and Roslani Embi. "User behaviour pattern for online learning system: UiTM iLearn portal case." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 1 (July 1, 2019): 382. http://dx.doi.org/10.11591/ijeecs.v15.i1.pp382-390.
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<span>A Web server log files contain an entire record of the user’s browsing history such as referrer, date and time access, path, operating system (OS), browser and IP address. User navigation pattern discovery involves learning of user’s browsing behaviour to gain the pattern from web server log file. This paper emphasizes on identifying user navigation pattern from web server log file data of iLearn portal. The study implements the framework for user navigation including phases of acquisition of weblog, log query parser, preprocessor, navigational pattern modelling, clustering, and classification. This study is conducted in the context of the actual data logs of the iLearn portal of Universiti Teknologi MARA (UiTM). This study revealed the navigational patterns of online learners which relatively related to their intake or group along the semester of 14 weeks. Besides, access patterns for students along the semester are different and can be classified into three (3) quarter, namely Q1, Q2 and Q3 based on the total of week per semester. Future work will focus on the development of prototype to improve the security of online learning especially during the assessment progress such as online quiz, test and examination.</span>
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Hartholt, Arno, Ed Fast, Adam Reilly, Wendy Whitcup, Matt Liewer, and Sharon Mozgai. "Multi-Platform Expansion of the Virtual Human Toolkit: Ubiquitous Conversational Agents." International Journal of Semantic Computing 14, no. 03 (September 2020): 315–32. http://dx.doi.org/10.1142/s1793351x20400127.
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We present an extension of the Virtual Human Toolkit to include a range of computing platforms, including mobile, web, Virtual Reality (VR) and Augmented Reality (AR). The Toolkit uses a mix of in-house and commodity technologies to support audio-visual sensing, speech recognition, natural language processing, nonverbal behavior generation and realization, text-to-speech generation and rendering. It has been extended to support computing platforms beyond Windows by leveraging microservices. The resulting framework maintains the modularity of the underlying architecture, allows re-use of both logic and content through cloud services, and is extensible by porting lightweight clients. We present the current state of the framework, discuss how we model and animate our characters, and offer lessons learned through several use cases, including expressive character animation in seated VR, shared space and navigation in room-scale VR, autonomous AI in mobile AR, and real-time user performance feedback leveraging mobile sensors in headset AR.
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Manne, Sharon, David Buller, Katie Devine, Carolyn Heckman, Sherry Pagoto, Sara Frederick, and Anna Mitarotondo. "Sun Safe Partners Online: Pilot Randomized Controlled Clinical Trial." Journal of Medical Internet Research 22, no. 9 (September 17, 2020): e18037. http://dx.doi.org/10.2196/18037.
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Background Harnessing supportive influences in close relationships is an innovative and potentially effective strategy to improve sun protection behaviors. Objective This pilot randomized controlled clinical trial evaluates the feasibility and impact of Sun Safe Partners Online, a web-based, couples-focused intervention to improve sun protection behavior. Methods A total of 75 couples reporting suboptimal levels of sun protection recruited from Facebook advertisements were randomized to receive a web-based intervention called Sun Safe Partners Online or a Generic Online Sun Safety Information intervention. Sun Safe Partners Online had 4 individual-focused modules and 4 couples-focused modules. Feasibility was assessed by study enrollment, engagement, follow-up survey completion, and intervention evaluation. Participants completed baseline and a 1-month postintervention survey assessing sun protection and exposure, along with individual and relationship attitudes about the importance of sun protection. Results Using Facebook as a recruitment strategy resulted in rapid enrollment and higher acceptance than for the prior telephone and print trial. The follow-up survey completion was higher in the Generic Online condition (100%) than in the Sun Safe Partners Online condition (87.2%). Engagement in Sun Safe Partners Online was high, with more than two-thirds of participants completing all modules. Evaluations of Sun Safe Partners Online content and features as well as ease of navigation were excellent. Sun Safe Partners Online showed small effects on sun protection behaviors and sun exposure on weekends compared with the Generic Online intervention and moderate effect size increases in the Sun Safe Partners Online condition. Conclusions This study uses a novel approach to facilitate engagement in sun protection by harnessing the influence of relationships among spouses and cohabiting partners. A couples-focused intervention may hold promise as a means to improve sun protection behaviors beyond interventions focused solely on individuals by leveraging the concern, collaboration, and support among intimate partners and addressing relationship-based barriers to sun protection. Trial Registration ClinicalTrials.gov NCT04549675; https://clinicaltrials.gov/ct2/show/NCT04549675
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Leithner, Manuel, and Dimitris E. Simos. "CHIEv." ACM SIGAPP Applied Computing Review 21, no. 1 (March 2021): 5–23. http://dx.doi.org/10.1145/3477133.3477134.
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Researchers and practitioners in the fields of testing, security assessment and web development seeking to evaluate a given web application often have to rely on the existence of a model of the respective system, which is then used as input to task-specific tools. Such models may include information on HTTP endpoints and their parameters, available user actions/event listeners and required assets. Unfortunately, this data is often unavailable in practice, as only rigorous development practices or manual analysis guarantee their existence and correctness. Crawlers based on static analysis have traditionally been used to extract required information from existing sites. Regrettably, these tools can not accurately account for the dynamic behavior introduced by technologies such as JavaScript that are prevalent on modern sites. While methods based on dynamic analysis exist, they are often not fully capable of identifying event listeners and their effects. In an earlier work, we presented XIEv, an approach for dynamic analysis of web applications that produces an execution trace usable for the extraction of navigation graphs, identification of bugs at runtime and enumeration of resources. It offers improved recognition and selection of event listeners as well as a greater range of observed effects compared to existing approaches. While the evaluation of our research prototype implementation confirmed the capabilities of XIEv, it was generally out-performed by static crawlers in terms of speed. This work introduces CHIEv, an approach that augments XIEv by enabling concurrent processing as well as incorporating the results of a static crawler in real-time. Our results indicate a significant increase in performance, particularly when applied to larger sites.
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Salim, Hani, Ping Yein Lee, Sazlina Sharif-Ghazali, Ai Theng Cheong, Jasmine Wong, Ingrid Young, and Hilary Pinnock. "Developing an Asthma Self-management Intervention Through a Web-Based Design Workshop for People With Limited Health Literacy: User-Centered Design Approach." Journal of Medical Internet Research 23, no. 9 (September 9, 2021): e26434. http://dx.doi.org/10.2196/26434.
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Background Technology, including mobile apps, has the potential to support self-management of long-term conditions and can be tailored to enhance adoption. We developed an app to support asthma self-management among people with limited health literacy in a web-based workshop (to ensure physical distancing during the COVID-19 pandemic). Objective The aim of this study is to develop and test a prototype asthma self-management mobile app tailored to the needs of people with limited health literacy through a web-based workshop. Methods We recruited participants from a primary care center in Malaysia. We adapted a design sprint methodology to a web-based workshop in five stages over 1 week. Patients with asthma and limited health literacy provided insights into real-life self-management issues in stage 1, which informed mobile app development in stages 2-4. We recruited additional patients to test the prototype in stage 5 using a qualitative research design. Participants gave feedback through a concurrent thinking-aloud process moderated by a researcher. Each interview lasted approximately 1 hour. Screen recordings of app browsing activities were performed. Interviews were audio-recorded and analyzed using a thematic approach to identify utility and usability issues. Results The stakeholder discussion identified four themes: individual, family, friends, and society and system levels. Five patients tested the prototype. Participants described 4 ways in which the app influenced or supported self-management (utility): offering information, providing access to an asthma action plan, motivating control of asthma through support for medication adherence, and supporting behavior change through a reward system. Specific usability issues addressed navigation, comprehension, and layout. Conclusions This study proved that it was possible to adapt the design sprint workshop to a web-based format with the added advantage that it allowed the development and the testing process to be done efficiently through various programs. The resultant app incorporated advice from stakeholders, including sources for information about asthma, medication and appointment reminders, accessible asthma action plans, and sources for social support. The app is now ready to move to feasibility testing.
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Agyapong, Kwame, J. B. Hayfron Acquah, and M. Asante. "AN OPTIMIZED PAGE RANK ALGORITHM WITH WEB MINING, WEB CONTENT MINING AND WEB STRUCTURE MINING." International Journal of Engineering Technologies and Management Research 4, no. 8 (February 1, 2020): 22–27. http://dx.doi.org/10.29121/ijetmr.v4.i8.2017.91.
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With the rapid increase in internet technology, users get easily confused in large hypertext structure. The primary goal of the web site owner is to provide the relevant information to the users to fulfill their needs. In order to achieve this goal, they use the concept of web mining. Web mining is used to categorize users and pages by analyzing the users‟ behaviour, the content of the pages, and the order of the URLs that tend to be accessed in order. Most of the search engines are ranking their search results in response to users' queries to make their search navigation easier. With a web browser, one can view web pages that may contain text, images, videos, and other multimedia, and navigate between them via hyperlinks. It is very difficult for a user to find the high quality information which he wants. Page Ranking algorithm is needed which provide the higher ranking to the important pages. In this paper, we discuss the improvement of Page ranking algorithm to provide the higher ranking to important pages. Most of the search engines are ranking their search results in response to user’s queries to make their search navigations easier.
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Kim, Kevin Gonyop, Catharine Oertel, and Pierre Dillenbourg. "How Florist Apprentices Explore Bouquet Designs: Supporting Design Space Exploration for Vocational Students." International Journal for Research in Vocational Education and Training 8, no. 1 (March 28, 2021): 65–86. http://dx.doi.org/10.13152/ijrvet.8.1.4.
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Context: Exploring the design space is an important process in a design task. In this study, we considered design space exploration for the learners in vocational education and training (VET). The goal of the study was to investigate how they explore the design space while focusing on the effect of a graph-like interface on the learner’s understanding of the design space. With florists as the target profession, we investigated how the apprentices explore design variations, what they would gain from such activity, and how we can support this process. Approach: We developed a web application called BloomGraph that allows learners to explore design variations. It provides a graph-based interface that enables the systematic variation of design. Using the BloomGraph application, we conducted an experimental study with 44 florist apprentices in Switzerland to investigate the effect of the graph-based interface which provides a structured way of exploring the design space. The experimental group was given the graph-based interface to explore design variations while the control group had a linear-based interface. We compared them in terms of the number of bouquets explored, time of exploration, diversity of bouquets explored, and the learning gain in terms of the understanding of the design space measured using pre and post-tests. We also analyzed the strategies adopted by the participants for the graph navigation and the visual exploration behavior using the eye gaze data. Findings: Our analysis shows that the graph-based interface fosters a better understanding of the size of the design space and more efficient navigation towards a goal design in terms of the number of intermediate designs but with longer exploration of each intermediate design compared to the linear-based interface. Regarding the behavioral patterns in graph exploration, the participants who showed more strategic behavior in the design choices acquired a better understanding of the design space. Additionally, we trained a model that predicts the next choice of a learner using eye tracking data. It provides a reasonable accuracy that opens new possibilities for future studies.Conclusion: The findings of this study support the feasibility of design space exploration as a digital activity for VET learners and show how the learners can benefit from it. The contribution of the paper includes the validation of the idea with florist apprentices and the demonstration of how the process can be supported using a structured interface and the learner behavior analysis. This paper shows how a design exploration activity can provide an added value in the learning of an apprentice in a design-related VET system.
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Tinner, Laura Elizabeth, Eileen Kaner, Claire Garnett, Siobhan Mitchell, Matthew Hickman, Rona Campbell, and Georgina MacArthur. "Qualitative Evaluation of Web-Based Digital Intervention to Prevent and Reduce Excessive Alcohol Use and Harm Among Young People Aged 14-15 Years: A “Think-Aloud” Study." JMIR Pediatrics and Parenting 3, no. 2 (December 15, 2020): e19749. http://dx.doi.org/10.2196/19749.
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Background In the United Kingdom, despite some downward trends in alcohol use among young people, over one-fifth of young people reported excessive alcohol use in the past month, which is associated with short- and long-term harm to health. Digital interventions to reduce alcohol use, such as websites, among young people present an appealing and cost-effective mode of intervention that can be integrated into the education system. However, relatively few school-based digital alcohol-focused interventions have been developed and evaluated for young people in the United Kingdom. Objective This study aims to develop a novel web-based intervention, Rethink Alcohol, to prevent and reduce excessive alcohol use and related harm among young people aged between 14 and 15 years, and explore the views of young people, teachers, and youth workers in relation to the content, design, and usability of the intervention. Methods Intervention development followed the person-based approach, using theories of social norms and social influence. Qualitative “Think-Aloud” interviews, either one-to-one or paired, were conducted while participants perused and worked through the web-based intervention, talking aloud. Participants included 20 young people (12 female, 8 male), 5 youth workers (4 female, 1 male), 3 teachers (2 male, 1 female), and 1 (male) clinical professional, recruited via youth groups and professional networks. Interviews were audio recorded, transcribed verbatim, and analyzed thematically. Results The prototype web-based intervention included normative feedback, information, a quiz, interactive activities, and scenarios. On a rating scale of impressions from poor (1) to excellent (5), participants gave an average score of 3.6/5. A total of 5 themes were identified: content, credibility of the website, making the website easy to understand, design and navigation, and suitability for the audience. These themes reflected views that the content was interesting, credible, informative, and embodied a neutral and nonjudgmental tone, but stronger messaging was needed regarding social pressures and short-term risks regarding safety and risk behavior alongside clarity around pathways of risk; credibility and trustworthiness of information were critical features, determined in part, by the professionalism of design and referencing of sources of information provided; and messages should be succinct and come to life through design and interactive features. Conclusions Together, the data illustrated the importance and challenge of communicating nuanced alcohol-focused public health messages to young people in concise, clear, nonjudgmental, and appealing ways. Young people report interest in clear, credible, neutral, and interactive messages regarding social pressures and short-term risks of alcohol use via a web-based intervention. There is scope for optimization and feasibility testing of the Rethink Alcohol intervention.
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te Kampe, R., A. Boonen, T. Jansen, J. M. Elling, M. Flendrie, Y. Van Eijk-Hustings, M. Janssen, C. Van Durme, and H. De Vries. "AB0915-PARE DEVELOPMENT AND USABILITY OF A WEB-BASED PATIENT-TAILORED TOOL TO SUPPORT ADHERENCE TO URATE-LOWERING THERAPY IN GOUT PATIENTS." Annals of the Rheumatic Diseases 80, Suppl 1 (May 19, 2021): 1479.1–1479. http://dx.doi.org/10.1136/annrheumdis-2021-eular.1500.
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Background:Adherence to prescribed urate-lowering therapy (ULT) among gout patients is considered to be among the poorest of all chronic conditions. eHealth programs can be a possible opportunity to foster ULT adherence.Objectives:This study describes the development and usability evaluation of a web-based tool to support ULT adherence among gout patients, specifically designed for a complement to usual care.Methods:The Integrated Change (I-Change) model was used as theoretical basis for the development. The model combines various socio-cognitive theories and differentiates between three phases: a pre-motivational, a motivational, and a post-motivational phase. In practices, the I-Change gout tool contains three sessions, following the three phases of the I-Change model. Patients receive tailored feedback based on their answers in the form of animated videos and text messages after each session, and are prompted to set specific goals and action plans for their ULT adherence. The content and development of the I-Change gout tool was determined along an iterative process within a steering group of clinicians and researchers, supported by patient interviews and gout specific literature related to key aspects of medication adherence behavior. A cross-sectional mixed methods design was used to test usability of the support tool consisting of a think aloud method and a usability questionnaire.Results:The steering group decided on the content of the three sessions of the I-Change gout tool. Depending on the intention to change ULT adherence behavior patients were navigated through the I-Change gout tool, patients with a low intention go through all 3 sessions and patients with a high intention go through the pre- and post-motivational session (figure 1). In total, the I-Change gout tool contains three sessions with 80 questions, 66 tailored textual feedback messages, and 40 tailored animated videos.Figure 1.Flowchart of the computer-tailored I-Change gout tool for urate-lowering therapy adherence.Twenty gout patients and seven healthcare professionals participated in the usability tests. The program end score rating for the gout tool was on average 8.4±0.9 (range 6-10) for patients and 7.7±1.0 (range 6-9) for healthcare professionals. Furthermore, participants reported a high intention to use and/or recommend the program in the future. Yet, participants identified some issues for further improvement of the systems user-friendliness by addressing barriers (e.g. more explicitly navigation) and weaknesses (e.g. technical and health literacy). The I-Change gout tool was updated according suggestions of improvements of the participants.Conclusion:This study provides initial support for the usability by patients and healthcare professionals of a ULT adherence I-Change gout tool. Further studies need to be conducted to assess its efficacy and (cost-) effectiveness in daily practice.Disclosure of Interests:None declared
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Cobb Payton, Fay, Lynette Kvasny, and James Kiwanuka-Tondo. "Online HIV prevention information." Internet Research 24, no. 4 (July 29, 2014): 520–42. http://dx.doi.org/10.1108/intr-09-2013-0193.
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Purpose – Two research questions are addressed: what are black female college students’ perceptions of current messages present on web sites about HIV/AIDS awareness and prevention?; and what messages do black female college students find culturally relevant to them, and why? Results indicate that these women perceive several communication barriers including lack of trust and unfamiliarity with information sources, stigma ascribed to HIV, as well as misconceptions and traditional values held by some in the black community and health institutions. HIV prevention messages are perceived as relevant if they exhibit qualities including interactive features. The paper aims to discuss these issues. Design/methodology/approach – To understand black collegiate women as health information seekers, it is important to engage paradigms that allow researchers to make sense of how group members construct their content needs, what helps shape this construction, and the meaning derived from the consumption of the information, focus groups are an effective qualitative method for enabling collective discussion and interaction between research participants that facilitates the exploration of under-researched topics like HIV prevention as well as the language commonly used by respondents to describe HIV from a socio-cultural perspective. The research team conducted three focus groups to appraise current black female college students’ attitudes and perceptions of messages presented on HIV/AIDS prevention and awareness web sites Findings – HIV prevention messages are perceived as relevant if they exhibit qualities including interactive features, practical advice using non-technical vocabulary, content authored and disseminated by familiar and trustworthy individuals and institutions, and risk related to individual behaviors rather than the demographic group. Implications of the findings and suggestions for future research on the design of health information systems are provided. Research limitations/implications – This research is based on a small sample size based on one region of the USA. Practical implications – Health communication materials should also provide strategies for dispelling myths, and combating feelings of stigma, and mistrust. In addition, practical advice such as questions to ask physicians may help to produce positive and desirable outcomes as black women seek services from the healthcare system. The message itself must take into account a number of factors include short and simple messages, clean web pages, navigation structures that make information easy to find, comprehensive information all found in a single web site, and interactive features to facilitate discussion and sharing. In particular, with social media, women can also play a role in the creation and dissemination of health messages in multiple modalities including text, spoken word, still and moving images, and music. Social implications – “A major component of preventive health practice is the availability and provision of information regarding risks to health and promotional measures for enhancing the health status among this population” (Gollop, 1997, p. 142). However, as Dervin (2005) cautions, while information is necessary, it is insufficient to encourage behavior change. To combat the health disparities that differentially impact African-American women requires expertize and understanding from multiple perspectives. By providing insight into how black collegiate women perceive HIV prevention information needs, the women in the focus groups lend a necessary voice in the effort toward healthy equity through the creation of effective health interventions that will appeal to them. Originality/value – The author seeks to create an online and socially connected experience characteristic of ongoing user input and active engagement in content development which targets the population. From a human-computer interaction viewpoint, the authors are seeking to avoid design divorced from context and meaning. In developing such an experience, the authors will need to triangulate the roles of culture, context, and design to reduce the content divide, yet amplify the notion of participatory web. Participatory web embodies a social justice movement to build web content from voices typically dampened in the discourse. It (re)shapes meaning, identity, and ecologies in the process of foci on particular social, health, and political causes (e.g. HIV/AIDS). Giving black women ownership over the creation of health information on the internet may improve the ability to provide targeted HIV prevention content that is culturally salient and more effective in reducing HIV infections in this community.
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Xu, Guandong, Lin Li, Yanchun Zhang, Xun Yi, and Masaru Kitsuregawa. "Modeling user hidden navigational behavior for Web recommendation." Web Intelligence and Agent Systems: An International Journal 9, no. 3 (2011): 239–55. http://dx.doi.org/10.3233/wia-2011-0217.
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BORGES, JOSÉ, and MARK LEVENE. "AN AVERAGE LINEAR TIME ALGORITHM FOR WEB USAGE MINING." International Journal of Information Technology & Decision Making 03, no. 02 (June 2004): 307–19. http://dx.doi.org/10.1142/s0219622004001021.
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In this paper, we study the complexity of a data mining algorithm for extracting patterns from user web navigation data that was proposed in previous work.3 The user web navigation sessions are inferred from log data and modeled as a Markov chain. The chain's higher probability trails correspond to the preferred trails on the web site. The algorithm implements a depth-first search that scans the Markov chain for the high probability trails. We show that the average behaviour of the algorithm is linear time in the number of web pages accessed.