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Journal articles on the topic 'User adaptation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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1

Shoham, Snunith. "User Adaptation to Public Services." Journal of Library Administration 6, no. 2 (1985): 101–9. http://dx.doi.org/10.1300/j111v06n02_09.

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2

Nilsson, Erik G., Jacqueline Floch, Svein Hallsteinsen, and Erlend Stav. "Model-based user interface adaptation." Computers & Graphics 30, no. 5 (2006): 692–701. http://dx.doi.org/10.1016/j.cag.2006.07.003.

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Eid, Mustafa Ismail Mustafa, and Hani I. Abbas. "User adaptation and ERP benefits: moderation analysis of user experience with ERP." Kybernetes 46, no. 3 (2017): 530–49. http://dx.doi.org/10.1108/k-08-2015-0212.

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Purpose The purpose of the study is to measure the impact of user adaptation of enterprise resources planning (ERP) post implementation through an appreciation of the benefits ERP provides to its users in Saudi Arabia (SA). The study will also measure the moderation effect of user experience with ERP on the relationship between user adaptation of ERP and user benefits from ERP. Design/methodology/approach The authors conducted a survey questionnaire study of 253 ERP users and tested the research model through the application of a hierarchical multiple regression analysis. Findings The findings

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Benyon, David, Thomas Kühme, Uwe Malinowsi, and Piyawadee Noi Sukaviriya. "Computer-aided adaptation of user interfaces." ACM SIGCHI Bulletin 26, no. 1 (1994): 25–27. http://dx.doi.org/10.1145/181526.181529.

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Di Cagno, Gianluca, Cyril Concolato, and Jean Claude Dufourd. "Multimedia adaptation in end-user terminals." Signal Processing: Image Communication 21, no. 3 (2006): 200–216. http://dx.doi.org/10.1016/j.image.2005.09.005.

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6

Delic, Vlado, Milan Gnjatovic, Niksa Jakovljevic, Branislav Popovic, Ivan Jokic, and Milana Bojanic. "User-awareness and adaptation in conversational agents." Facta universitatis - series: Electronics and Energetics 27, no. 3 (2014): 375–87. http://dx.doi.org/10.2298/fuee1403375d.

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This paper considers the research question of developing user-aware and adaptive conversational agents. The conversational agent is a system which is user-aware to the extent that it recognizes the user identity and his/her emotional states that are relevant in a given interaction domain. The conversational agent is user-adaptive to the extent that it dynamically adapts its dialogue behavior according to the user and his/her emotional state. The paper summarizes some aspects of our previous work and presents work-in-progress in the field of speech-based human-machine interaction. It focuses pa

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López-Jaquero, Víctor, Vivian Genaro Motti, Francisco Montero, and Pascual González López. "Gisatie: A User Interface Adaptation Life-Cycle." International Joural of User-System Interaction 14, no. 1 (2021): 1–29. http://dx.doi.org/10.37789/ijusi.2021.14.1.1.

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8

Jokinen, Kristiina. "Adaptation and user expertise modelling in AthosMail." Universal Access in the Information Society 4, no. 4 (2006): 374–92. http://dx.doi.org/10.1007/s10209-005-0002-z.

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Barakonyi, István, and Dieter Schmalstieg. "Augmented reality agents for user interface adaptation." Computer Animation and Virtual Worlds 19, no. 1 (2008): 23–35. http://dx.doi.org/10.1002/cav.220.

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10

Bartling, Mona, Anthony C. Robinson, Harold Achicanoy Estrella, and Anton Eitzinger. "The impact of user characteristics of smallholder farmers on user experiences with collaborative map applications." PLOS ONE 17, no. 3 (2022): e0264426. http://dx.doi.org/10.1371/journal.pone.0264426.

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In the future, farmers will have increasing opportunities to use collaborative smartphone applications for agricultural management. Geospatial information in combination with agricultural-relevant information is a great source of knowledge for farmers. Including maps in collaborative mobile agriculture applications benefits communication processes related to agricultural-relevant questions. Ensuring a positive user experience with map interfaces depends on their design. To develop design guidelines for map-oriented mobile agricultural applications, this study evaluates 24 different map design

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Namara, Moses, Henry Sloan, and Bart P. Knijnenburg. "The Effectiveness of Adaptation Methods in Improving User Engagement and Privacy Protection on Social Network Sites." Proceedings on Privacy Enhancing Technologies 2022, no. 1 (2021): 629–48. http://dx.doi.org/10.2478/popets-2022-0031.

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Abstract Research finds that the users of Social Networking Sites (SNSs) often fail to comprehensively engage with the plethora of available privacy features— arguably due to their sheer number and the fact that they are often hidden from sight. As different users are likely interested in engaging with different subsets of privacy features, an SNS could improve privacy management practices by adapting its interface in a way that proactively assists, guides, or prompts users to engage with the subset of privacy features they are most likely to benefit from. Whereas recent work presents algorith

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Bau, Rahmat Taufik RL, and Arief Setyanto. "Adaptasi Skala User Experience Questionnaire Dalam Pengujian User Experience Sistem Repositori." Respati 15, no. 1 (2020): 37. http://dx.doi.org/10.35842/jtir.v15i1.329.

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INTISARIDalam pengajuan kuesioner, penguji sering kali harus bertatap muka dengan responden agar responden mendapat pengarahan dan penjelasan mengenai produk yang akan diuji dalam kuesioner. Bagaimana jika responden dan penguji tidak berada pada tempat yang sama? Terlebih jika kuesioner yang diajukan berupa rentetan bundaran yang diapit oleh skala pada sisi kiri dan kanannya, seperti kuesioner UEQ. Adakah cara untuk bisa mengkontruksi bentuk kuesioner agar tidak terdapat interpretasi yang melenceng? Jurnal ini membahas tentang proses adaptasi skala UEQ dari skala -3 .. 0 .. +3 menjadi skala 1

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13

Beaudry and Pinsonneault. "Understanding User Responses to Information Technology: A Coping Model of User Adaptation." MIS Quarterly 29, no. 3 (2005): 493. http://dx.doi.org/10.2307/25148693.

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14

Sun, Chengzheng, Steven Xia, David Sun, David Chen, Haifeng Shen, and Wentong Cai. "Transparent adaptation of single-user applications for multi-user real-time collaboration." ACM Transactions on Computer-Human Interaction 13, no. 4 (2006): 531–82. http://dx.doi.org/10.1145/1188816.1188821.

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NITTA, Naoko, and Noboru BABAGUCHI. "User and Device Adaptation in Summarizing Sports Videos." IEICE Transactions on Information and Systems E92-D, no. 6 (2009): 1280–88. http://dx.doi.org/10.1587/transinf.e92.d.1280.

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16

Nam, J., Yong Man Ro, Y. Huh, and M. Kim. "Visual content adaptation according to user perception characteristics." IEEE Transactions on Multimedia 7, no. 3 (2005): 435–45. http://dx.doi.org/10.1109/tmm.2005.846801.

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17

Tobler, Nancy, Janet Colvin, and Neil W. Rawlins. "Longitudinal Analysis and Coping Model of User Adaptation." Journal of Computer Information Systems 57, no. 2 (2016): 97–105. http://dx.doi.org/10.1080/08874417.2016.1183415.

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18

Bielikova, Maria, Eelco Herder, Federica Cena, and Michel Desmarais. "ACM UMAP 2017 - User Modeling, Adaptation and Personalization." ACM SIGWEB Newsletter, Winter (February 3, 2017): 1–5. http://dx.doi.org/10.1145/3027141.3027144.

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19

Kavcic, A. "Fuzzy User Modeling for Adaptation in Educational Hypermedia." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 34, no. 4 (2004): 439–49. http://dx.doi.org/10.1109/tsmcc.2004.833294.

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20

Reinecke, Katharina. "Automatic Adaptation of User Interfaces to Cultural Preferences." it - Information Technology 54, no. 2 (2012): 96–100. http://dx.doi.org/10.1524/itit.2012.0669.

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21

García-galán, Jesús, Liliana Pasquale, Pablo Trinidad, and Antonio Ruiz-Cortés. "User-Centric Adaptation Analysis of Multi-Tenant Services." ACM Transactions on Autonomous and Adaptive Systems 10, no. 4 (2016): 1–26. http://dx.doi.org/10.1145/2790303.

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22

Fierrez-Aguilar, Julian, Daniel Garcia-Romero, Javier Ortega-Garcia, and Joaquin Gonzalez-Rodriguez. "Bayesian adaptation for user-dependent multimodal biometric authentication." Pattern Recognition 38, no. 8 (2005): 1317–19. http://dx.doi.org/10.1016/j.patcog.2005.01.013.

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23

Zhang, Jie, Tanja Mitrovic, David Chin, and Li Chen. "ACM UMAP 2018 - User Modeling, Adaptation and Personalization." ACM SIGWEB Newsletter, Winter (March 9, 2018): 1–5. http://dx.doi.org/10.1145/3183639.3183641.

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24

Fehringer, Hannah, and Christian Stary. "User-Informed Adaptation in IoT Home Healthcare: Grounding Development in Empirical Evidence." Journal of Theoretical and Applied Electronic Commerce Research 18, no. 4 (2023): 1901–25. http://dx.doi.org/10.3390/jtaer18040096.

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IoT (Internet of Things)-enabled products are increasingly used by consumers and continuously propagate in daily life. Billions of networked objects not only increase the complexity of development but also raise user interaction and adaptation to individual needs. The more non-expert users are involved in decision making, interaction, and adaptation processes, the more user-centric IoT design is crucial, particularly when the number of elderly users is steadily increasing. In this paper, we study the capabilities of adopting IoT products through user-informed adaptation in a major IoT applicat

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25

Isiaka, Fatima, Zainab Adamu, and Muhammad A. Adamu. "User Experience Adaptation of Complex Game Interface for User Behaviour Modeling Using RNN." International Journal of Crowd Science 6, no. 4 (2022): 159–66. http://dx.doi.org/10.26599/ijcs.2022.9100021.

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26

Yigitbas, Enes, Ivan Jovanovikj, Kai Biermeier, Stefan Sauer, and Gregor Engels. "Integrated model-driven development of self-adaptive user interfaces." Software and Systems Modeling 19, no. 5 (2020): 1057–81. http://dx.doi.org/10.1007/s10270-020-00777-7.

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Abstract Modern user interfaces (UIs) are increasingly expected to be plastic, in the sense that they retain a constant level of usability, even when subjected to context changes at runtime. Self-adaptive user interfaces (SAUIs) have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. The development of SAUIs is a challenging and complex task as additional aspects like context management and UI adaptation have to be covered. In classical model-driven UI development approaches, these aspects are not fully integrated a

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27

Alipour, Mina, Mahyar T. Moghaddam, Karthik Vaidhyanathan, and Mikkel Baun Kjærgaard. "Emoticontrol: Emotions-based Control of User-Interfaces Adaptations." Proceedings of the ACM on Human-Computer Interaction 7, EICS (2023): 1–29. http://dx.doi.org/10.1145/3593227.

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Emotions are integral to human nature, and their existence, duration, and evolution could lead to specific behaviors. If emotions and behaviors are ignored in the design of socio-technical systems, they will fail or cause discomfort. User interfaces (UIs) are elements of interactive systems able to trigger or moderate emotions. UIs are increasingly designed adaptive to users' various characteristics, intending to improve their satisfaction, performance, and decisions. However, previous adaptation supervising approaches are not effectively adopted in real life since they neglect the dynamic beh

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28

Mustafa, Faisal, Zulfadli A. Aziz, and Ihsanul Khabri. "Translation techniques used in translating a smartphone user manual." Englisia: Journal of Language, Education, and Humanities 9, no. 1 (2021): 33. http://dx.doi.org/10.22373/ej.v9i1.10494.

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As many smartphones are imported from overseas and the user manuals are written in English, the translation of a user manual is, therefore, very important for the Indonesian customers whose English is not their second language. Good translation results are then very essential in order that the customers understand the information easily and clearly. The focus of this research is the bilingual English-Indonesian Samsung’s GT-19500 user manual. This research aims to find translation techniques applied in the book. In this descriptive research, the sentences were the tokens that were recorded in

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29

Yang, Seung-Eun, Kwang-Hyun Park, and Zeungnam Bien. "Gesture Spotting Using Fuzzy Garbage Model and User Adaptation." International Journal of Fuzzy System Applications 1, no. 3 (2011): 47–65. http://dx.doi.org/10.4018/ijfsa.2011070104.

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Thanks to the rapid advancement of human-computer interaction technologies it is becoming easier for the elderly and/or people with disabilities to operate various electrical systems. Operation of home appliances by using a set of predefined hand gestures is an example. However, hand gesture recognition may fail when the predefined command gestures are similar to some ordinary but meaningless behaviors of the user. This paper uses a gesture spotting method to recognize a designated gesture from other similar gestures. A fuzzy garbage model is proposed to provide a variable reference value to d

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30

SAVIDIS, ANTHONY, MARGHERITA ANTONA, and CONSTANTINE STEPHANIDIS. "A DECISION-MAKING SPECIFICATION LANGUAGE FOR VERIFIABLE USER-INTERFACE ADAPTATION LOGIC." International Journal of Software Engineering and Knowledge Engineering 15, no. 06 (2005): 1063–94. http://dx.doi.org/10.1142/s0218194005002646.

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In automatic user interface adaptation, developers pursue the delivery of best-fit user interfaces according to the runtime-supplied profiles of individual end users and usage contexts. Software engineering of automatic interface adaptability entails: (a) storage and processing of user and usage-context profiles; (b) design and implementation of alternative interface components, to optimally support the various user activities and interface operations for different users and usage contexts; and (c) runtime decision-making, to choose on the fly the most appropriate alternative interface compone

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31

Bouchelligua, W., A. Mahfoudhi, and M. Abed. "A Model Driven Engineering Approach Toward User Interfaces Adaptation." International Journal of Adaptive, Resilient and Autonomic Systems 3, no. 1 (2012): 65–86. http://dx.doi.org/10.4018/jaras.2012010104.

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In ubiquitous computing, the context of use (user, platform, environment) is in a permanent change. This has brought about new challenges in the Human Computer Interface (HCI) engineering to obtain User Interfaces (UI) that are compliant to their context of use. This paper has benefitted from the interests of parameterized principle transformation in the framework of the Model Driven Engineering (MDE) to propose approaches based on the models for the generation of the adaptable UI. It provides meta-models for the various components of the context of use which plays the role of the transformati

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32

Zhang, Zhiyuan, Yun Liu, Guandong Xu, and Haiqiang Chen. "A weighted adaptation method on learning user preference profile." Knowledge-Based Systems 112 (November 2016): 114–26. http://dx.doi.org/10.1016/j.knosys.2016.09.003.

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33

Ahmadi, Hamed, and Jun Kong. "User-centric adaptation of Web information for small screens." Journal of Visual Languages & Computing 23, no. 1 (2012): 13–28. http://dx.doi.org/10.1016/j.jvlc.2011.09.002.

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34

Rossi, Silvia, François Ferland, and Adriana Tapus. "User profiling and behavioral adaptation for HRI: A survey." Pattern Recognition Letters 99 (November 2017): 3–12. http://dx.doi.org/10.1016/j.patrec.2017.06.002.

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35

Jevtić, Aleksandar, Adrià Colomé, Guillem Alenyà, and Carme Torras. "Robot motion adaptation through user intervention and reinforcement learning." Pattern Recognition Letters 105 (April 2018): 67–75. http://dx.doi.org/10.1016/j.patrec.2017.06.017.

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36

Octavia, Johanna Renny, Chris Raymaekers, and Karin Coninx. "Adaptation in virtual environments: conceptual framework and user models." Multimedia Tools and Applications 54, no. 1 (2010): 121–42. http://dx.doi.org/10.1007/s11042-010-0525-z.

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37

Soui, Makram, Khaled Ghedira, and Mourad Abed. "Evaluating User Interface Adaptation using the Context of Use." International Journal of Adaptive, Resilient and Autonomic Systems 6, no. 1 (2015): 1–24. http://dx.doi.org/10.4018/ijaras.2015010101.

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The aim of adaptive user interface is to provide different layouts and relevant information according to the current context-of-use (users, platforms and environments). Today, these systems are indispensable to those who want to retrieve appropriate information with less effort at anytime and anywhere. In this paper, the authors present an approach to automatically evaluate UI adaptation at runtime. The idea consists on foreseeing the evaluation from the early stages of application development by integrating a tracing system which represents the first phase of a user-centred approach for the d

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38

Banouar, Oumayma, and Said Raghay. "Enriching SPARQL Queries by User Preferences for Results Adaptation." International Journal of Software Engineering and Knowledge Engineering 28, no. 08 (2018): 1195–221. http://dx.doi.org/10.1142/s0218194018500353.

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Systems of data integration using ontologies aim to implement a collaborative environment between sources for sharing data and services to respond a user request for information. Their users’ requests are an exact expression of their needs. However, the multiplicity of data sources, their scalability and the increasing difficulty to control their descriptions and their contents are the reasons behind the implacability of this assumption today. The users now may not know the data sources they questioned, nor their description or content. Consequently, their queries reflect no more a need that m

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39

Marin, Lucas, David Isern, and Antonio Moreno. "Dynamic adaptation of numerical attributes in a user profile." Applied Intelligence 39, no. 2 (2013): 421–37. http://dx.doi.org/10.1007/s10489-012-0421-5.

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40

Oppermann, Reinhard. "From User-adaptive to Context-adaptive Information Systems (Von benutzeradaptiven zu kontextadaptiven Informationssystemen)." i-com 4, no. 3/2005 (2005): 4–14. http://dx.doi.org/10.1524/icom.2005.4.3.4.

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SummaryThis paper introduces context-adaptive information systems reflecting the current needs of the user. Context-adaptive information systems reflect more than classical user-adaptive systems where user and task characteristics are considered for adaptation. In context-adaptive information systems the usage episode is additionally defined by the time and the location, by the physical and social environment and the technical infrastructure and eventually by relevant situational characteristic such as sound, light or movement.To begin with, the rationality of adaptive systems and the concept

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41

Alipour, Mina, Éric Céret, and Sophie Dupuy-Chessa. "A Framework for User Interface Adaptation to Emotions and their Temporal Aspects." Proceedings of the ACM on Human-Computer Interaction 7, EICS (2023): 1–25. http://dx.doi.org/10.1145/3593238.

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Designing and adapting user interfaces (UIs) based on context and individuals' dynamic characteristics is essential to improve user experience and performance. Emotions are a significant aspect of users' characteristics since they lead to certain behaviors. Consequently, adopting emotions in UI adaptation is a crucial task for developers. However, it is difficult considering the various characteristics of emotions, particularly their variability and temporal aspects. This paper presents a framework for UI adaptation covering specific dimensions of emotions and their temporal aspects. More spec

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42

Plesca, Cezar, Vincent Charvillat, and Romulus Grigoras. "Adapting Content Delivery to Limited Resources and Inferred User Interest." International Journal of Digital Multimedia Broadcasting 2008 (2008): 1–13. http://dx.doi.org/10.1155/2008/171385.

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This paper discusses adaptation policies for information systems that are subject to dynamic and stochastic contexts such as mobile access to multimedia web sites. In our approach, adaptation agents apply sequential decisional policies under uncertainty. We focus on the modeling of such decisional processes depending on whether the context is fully or partially observable. Our case study is a movie browsing service in a mobile environment that we model by using Markov decision processes (MDPs) and partially observable MDP (POMDP). We derive adaptation policies for this service, that take into

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43

Rowe, Jonathan, and James Lester. "Modeling User Knowledge with Dynamic Bayesian Networks in Interactive Narrative Environments." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 6, no. 1 (2010): 57–62. http://dx.doi.org/10.1609/aiide.v6i1.12403.

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Recent years have seen a growing interest in interactive narrative systems that dynamically adapt story experiences in response to users’ actions, preferences, and goals. However, relatively little empirical work has investigated runtime models of user knowledge for informing interactive narrative adaptations. User knowledge about plot scenarios, story environments, and interaction strategies is critical in a range of interactive narrative contexts, such as mystery and detective genre stories, as well as narrative scenarios for education and training. This paper proposes a dynamic Bayesian net

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44

Janarthanam, Srinivasan, and Oliver Lemon. "Adaptive Generation in Dialogue Systems Using Dynamic User Modeling." Computational Linguistics 40, no. 4 (2014): 883–920. http://dx.doi.org/10.1162/coli_a_00203.

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We address the problem of dynamically modeling and adapting to unknown users in resource-scarce domains in the context of interactive spoken dialogue systems. As an example, we show how a system can learn to choose referring expressions to refer to domain entities for users with different levels of domain expertise, and whose domain knowledge is initially unknown to the system. We approach this problem using a three step process: collecting data using a Wizard-of-Oz method, building simulated users, and learning to model and adapt to users using Reinforcement Learning techniques. We show that

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45

Sushil, Shrestha, Poudel Prashant, Adhikari Siza, and Adhikari Isha. "Adaptive menu: A review of adaptive user interface." Trends in Computer Science and Information Technology 7, no. 3 (2022): 103–6. http://dx.doi.org/10.17352/tcsit.000059.

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Intelligent User Interface (IUI) is an emerging interdisciplinary research area that focuses on improving the usability of existing user interfaces. Adaptive menus are the part of the IUI that is trying to improve existing menus’ usability by reducing the selection time. This paper surveys the most relevant studies that are carried out in this field. First, it introduces an Adaptive User Interface (AUI) and adaptive menus then describe various adaptation styles and adaptation policies that are being used in adaptive menus along with their benefits and drawbacks. It then lists the applications

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Picking, Clare, Helen Pain, Clare Picking, and Helen Pain. "Home Adaptations: User Perspectives on the Role of Professionals." British Journal of Occupational Therapy 66, no. 1 (2003): 2–8. http://dx.doi.org/10.1177/030802260306600102.

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People with disabilities often carry much of the responsibility for the process of making adaptations to their homes and look to the professionals involved for support. The study described in this article asked people with disabilities whether they believed that they received appropriate professional support, information and practical help when adapting their homes and sought to learn more about their feelings about the adaptation process. A qualitative research method, using three focus groups in different geographical areas, was carried out with a purposive sample of participants who had rec

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47

Sato, Tomomasa, Mehrab Hosseinbor, Takeru Kuroiwa, Rui Fukui, Jun Tamura, and Taketoshi Mori. "Behavior and Personal Adaptation of Robotic Lamp." Journal of Robotics and Mechatronics 17, no. 1 (2005): 69–76. http://dx.doi.org/10.20965/jrm.2005.p0069.

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Based on the concept of “behavior adaptation,” this paper presents an intelligent desk lamp called “Robotic Lamp” that supports users by illuminating desired areas in desired way according to user’s behavior. The user defines desired scenario using a GUI. A high resolution pressure sensor distributed floor is used to recognize user behavior. The system utilizes a five degree-of-freedom robotic lamp not only as an illumination tool but also as an input device in case the user moves it by physical contact. Experiments showed that the system can adapt to user behavior and can receive commands in

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48

Kawanishi, Yasutomo, Hiroshi Murase, Satoshi Komorita, and Sei Naito. "Aggregating Everyday Outfits by Incremental Clustering With Interactive User Adaptation." IEEE Access 9 (2021): 121467–75. http://dx.doi.org/10.1109/access.2021.3104973.

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49

López-Jaquero, Víctor. "A Profile and Design Space for Characterizing User Interface Adaptation." International Joural of User-System Interaction 14, no. 2 (2021): 47–67. http://dx.doi.org/10.37789/ijusi.2021.14.2.1.

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50

Bouchelligua, Wided, Adel Mahfoudhi, and Mourad Abed. "Model Driven Adaptation and Usability for Context Aware User Interfaces." International Journal of Computer Applications 54, no. 3 (2012): 30–47. http://dx.doi.org/10.5120/8547-2106.

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