Relevant bibliographies by topics / User Behavior Language

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'User Behavior Language'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "User Behavior Language"

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On, Byung-Won. "Event detection using user interaction behavior models." Artificial Intelligence Review 40, no. 1 (July 21, 2011): 51–70. http://dx.doi.org/10.1007/s10462-011-9279-x.

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Sharghi, Hassan, and Kamran Sartipi. "An expressive event-based language for representing user behavior patterns." Journal of Intelligent Information Systems 49, no. 3 (March 23, 2017): 435–59. http://dx.doi.org/10.1007/s10844-017-0456-5.

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Karat, John. "Evaluating User Interface Complexity." Proceedings of the Human Factors Society Annual Meeting 31, no. 5 (September 1987): 566–70. http://dx.doi.org/10.1177/154193128703100520.

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A study was conducted to examine learning and performance differences between a command language and a direct manipulation system. Experimental results point out large differences in performance between the command language and direct manipulation systems which favor direct manipulation. Formal models of the knowledge required to use the systems were developed following the framework suggested by Kieras and Polson (1985). Failure of the formal models to accurately predict the advantages for the direct manipulation system are traced to insufficient emphasis on error behavior.
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Hong, Traci, and Christopher E. Beaudoin. "A Behavioral Function Approach in Predicting Contribution of User-Generated Content." Communication Research 45, no. 5 (April 20, 2016): 764–82. http://dx.doi.org/10.1177/0093650216644019.

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This study theoretically develops a three-stage model in which certain types of health behavior functions (i.e., health-affirming vs. health-detection/treatment) prime individuals to process information with either a defensive or accuracy motivation. Such information-processing motivations, in turn, are expected to influence the contribution and consumption of user-generated health content. The three-stage model was tested with data from an online sample of American adults ( N = 767). A well-fitting structural equation model provided evidence for each of the hypothesized paths except for that from health-detection/treatment behavior to accuracy motivation. Individuals’ information search for health-affirming behaviors instigated a defensive motivation. Moreover, while both information-processing motivations influenced user-generated content consumption, only defensive motivation had a significant effect on user-generated content contribution. Finally, there was also one significant cross-stage path in which health-affirming behavior had a direct effect on content contribution, thus, overstepping defensive and accuracy motivations.
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Skaruk, Galina. "Users’ search in OPAC: Findings of search statistics analysis at RAS SB State Public Scientific and Technological Library." Scientific and Technical Libraries, no. 12 (December 1, 2017): 63–72. http://dx.doi.org/10.33186/1027-3689-2017-12-63-72.

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OPAC user search behavior study was conducted at RAS SB State Public Scientific and Technological Library based on OPAC log files information in statistical database for 2016. The frequency of information retrieval languages, the keyword language in the first place, and the information retrieval language of subject headings in the second place, was assessed. User search behavior in OPAC using keywords is characterized. Different search request structures in this language are discussed. Individual search stories are analyzed. Typical search strategies, formulations, update methods are defined. The author concludes on the urgency of problems OPAC users face and suggests how to improve the situation.
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Lin, Norman, Shoji Kajita, and Kenji Mase. "Mobile user behavior and attitudes during story-based kanji learning." JALT CALL Journal 4, no. 1 (April 30, 2008): 3–18. http://dx.doi.org/10.29140/jaltcall.v4n1.50.

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Osipov, Ilya V., Alex A. Volinsky, Evgeny Nikulchev, and Anna Y. Prasikova. "Communication and Gamification in the Web-Based Foreign Language Educational System." International Journal of Web-Based Learning and Teaching Technologies 11, no. 4 (October 2016): 22–34. http://dx.doi.org/10.4018/ijwltt.2016100102.

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The paper describes development of the educational online web communication platform for teaching and learning foreign languages. The main objective was to develop a web application for teaching foreigners to understand casual fluent speech. The system is based on the time bank principle, allowing users to teach others their native language along with taking foreign language lessons. The system is based on the WebRTC technology, allowing users to access synchronized teaching materials along with seeing and hearing each other. The paper describes studies associated with user involvement in the learning/teaching process. The hypothesis whether two previously unfamiliar individuals could communicate with each other using a foreign language, based on the developed system algorithms, was tested. System virality, where new users are attracted by the existing users was also studied, along with user motivation for viral behavior. Relationships between monetization, virality and user involvement were also considered.
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Chockler, Hana, Pascal Kesseli, Daniel Kroening, and Ofer Strichman. "Learning the Language of Software Errors." Journal of Artificial Intelligence Research 67 (April 23, 2020): 881–903. http://dx.doi.org/10.1613/jair.1.11798.

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We propose to use algorithms for learning deterministic finite automata (DFA), such as Angluin’s L* algorithm, for learning a DFA that describes the possible scenarios under which a given program error occurs. The alphabet of this automaton is given by the user (for instance, a subset of the function call sites or branches), and hence the automaton describes a user-defined abstraction of those scenarios. More generally, the same technique can be used for visualising the behavior of a program or parts thereof. It can also be used for visually comparing different versions of a program (by presenting an automaton for the behavior in the symmetric difference between them), and for assisting in merging several development branches. We present experiments that demonstrate the power of an abstract visual representation of errors and of program segments, accessible via the project’s web page. In addition, our experiments in this paper demonstrate that such automata can be learned efficiently over real-world programs. We also present lazy learning, which is a method for reducing the number of membership queries while using L*, and demonstrate its effectiveness on standard benchmarks.
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Qadir, Samina, Ayesha Naeem, and Muhammad Naeem Akhtar. "INTERNET USE BEHAVIOR: EMERGING STUDENT MENTAL HEALTH PROBLEM." Gomal Journal of Medical Sciences 16, no. 2 (June 30, 2018): 39–42. http://dx.doi.org/10.46903/gjms/16.02.1920.

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Background: Internet addiction is emerging community mental health issue. Objective of study was to determine frequency of three types of internet use behaviors, modal reason of internet use and association of internet use behavior to different socio demographic variables. Material & Methods: This comparative cross-sectional study was conducted in Gomal Medical College from 1st September to 30th September 2018. A sample size of 100 students was chosen through non probability sampling technique. All students were given a questionnaire. Our sociodemographic variables were age, residence, gender, language and socioeconomic status. Research variables were frequency of different internet use behaviors and modal reason of internet use. SPSS version 19 was used for data analysis. Categorical variables were expressed as frequency and percentages and numerical variables expressed as mean and SD. Chi square test was done to see association of internet use behaviors with socio demographic variables. Results: in this study male and female were both equal in number with 50 each. Majority of them were below 25 yrs of age 99%, hosteler 74%, Pushto speaking 54% and from middle class 78%. Regarding internet use behavior 53% were normal user,45% were problematic user and 2 were addict. Chi square test did not show any significant difference between type of user and sociodemographic characteristics. Conclusion: In our study frequency of problematic user is high and internet use behavior is not significantly associated to different sociodemographic groups. Entertainment was the most frequent reason for using internet.
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MERLO, ETTORE, JEAN-FRANCOIS GIRARD, LAURIE HENDREN, and R. DE MORI. "MULTI-VALUED CONSTANT PROPAGATION ANALYSIS FOR USER INTERFACE REENGINEERING." International Journal of Software Engineering and Knowledge Engineering 05, no. 01 (March 1995): 5–23. http://dx.doi.org/10.1142/s0218194095000022.

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The definition and use of multi-valued constant propagation analysis (MVCP), which is an extension of simple constant propagation analysis, is presented in this paper in the context of a user interface reengineering process. A brief description of the adopted COBOL/CICS user interface reengineering model, which makes use of an Abstract User Interface Description Language (AUIDL) to represent user interface structures and behavior, is also given. The experimental context is described and results are shown and discussed. Suggestions for further directions of research and investigation are also presented.
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Dissertations / Theses on the topic "User Behavior Language"

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Polat, Mustafa. "Emerging Technologies in Language Pedagogy: Language Learners' Perceptions through the Lenses of Innovation Diffusion and User Intention Theories." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/612413.

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Recently, it has been admitted by many researchers that students today are "digital natives" who already utilize several different technologies everyday with different purposes. Furthermore, while there is a plethora of research about learners' perceptions in language pedagogy, there is a paucity of information and research that could move beyond generic perception studies especially regarding new technologies. Accordingly, educators are still concerned not only with how to encourage EFL learners to adopt emerging technologies that could be invaluable in their language learning processes, but also with how to keep students interested in what they are learning. Thus, an understanding beyond students' perceptions with a purposive focus on their approach to technology by also exploring factors that have an influence on their adoption of emerging technologies is the key to knowing how to motivate students to integrate new technologies, and how to keep students interested in the learning process. Therefore, the purpose of this study was three-fold: to identify language learners' approaches to technologies; to examine their attitude toward emerging technologies with a focus on their familiarity, actual use, intentions and perceptions; and finally to analyze the factors and relationships among these factors that best predict language learners' intentions and decisions to use emerging technologies. The study specifically aimed to explore the following emerging technologies: (a) social networking, (b) mobile learning, and (c) digital games as major emerging technologies of today with also a focus on other emerging technologies: (a) augmented reality, (b) wearable technologies, (c) virtual assistants, (d) massive online open courses, (e) 3D printing and (f) online language learning platforms. This mixed methods study benefitted from multiple disciplines, and presented several different perspectives to achieve its aim. The data were obtained through a survey, open-ended questions, and semi-structured interviews. The quantitative data were analyzed through descriptive and inferential statistics. In addition, structural equation modeling was utilized and path analysis was employed to draw on two complementary frameworks: innovation diffusion theory (Rogers, 2003), especially its application in technology adopter categories (TACI) (Dugas, 2005), and the decomposed theory of planned behavior (DTPB) (Taylor & Todd, 1995), which was adapted for this research. The qualitative data was analyzed through thematic content analysis, and used to triangulate and affirm what the quantitative data was showing. The findings indicated that technology adopter categories were normally distributed among EFL learners at a public and a private university in Turkey. Although most EFL learners were quite familiar and confident with major emerging technologies, they were not very familiar with minor emerging technologies. As for an awareness of the benefits of all listed emerging technologies, the study revealed that EFL learners' awareness is quite high; however, it was also found that participants' intention to use these emerging technologies and their actual use were very low. Finally, the results showed that the adapted DTPB was useful in explaining much of the variance in the intention to integrate technology into language learning processes by EFL learners, and attitude was the most important predictor and factor of behavioral intention. Given these findings, this research aims to contribute to the literature in innovation diffusion, user adoption and language pedagogy by offering several theoretical, methodological, and pedagogical implications and directions for future research and applications.
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Sutcliffe, Tami. "Exploring Naming Behavior in Personal Digital Image Collections: the Iconology and Language Games of Pinterest." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699943/.

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As non-institutional digital image collections expand into social media, independent non-professional image curators are emerging, actively constructing alternative naming conventions to suit their needs in a social collecting environment. This project considers how independent user-curators are developing particular sense-making behaviors as they actively contribute names to large, unstructured social image collections. In order to capture and explore this evolving language adaptation, Pinterest names are analyzed using a matrix composed of Panofsky’s three strata of subject matter, Rosch’s levels of categorical abstraction, Shatford Layne’s image attributes and Wittgenstein’s language game constructions. Analyzing Pinterest image names illuminates previously unnoticed behaviors by independent user-curators as they create shared collections. Exploring the various language choices which user-curators select as they apply this new curating vocabulary helps identify underlying user needs not apparent in traditionally curated collections restricted to traditional naming conventions.
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Wärnestål, Pontus. "Dialogue Behavior Management in Conversational Recommender Systems." Doctoral thesis, Linköpings universitet, NLPLAB - Laboratoriet för databehandling av naturligt språk, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9624.

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This thesis examines recommendation dialogue, in the context of dialogue strategy design for conversational recommender systems. The purpose of a recommender system is to produce personalized recommendations of potentially useful items from a large space of possible options. In a conversational recommender system, this task is approached by utilizing natural language recommendation dialogue for detecting user preferences, as well as for providing recommendations. The fundamental idea of a conversational recommender system is that it relies on dialogue sessions to detect, continuously update, and utilize the user's preferences in order to predict potential interest in domain items modeled in a system. Designing the dialogue strategy management is thus one of the most important tasks for such systems. Based on empirical studies as well as design and implementation of conversational recommender systems, a behavior-based dialogue model called bcorn is presented. bcorn is based on three constructs, which are presented in the thesis. It utilizes a user preference modeling framework (preflets) that supports and utilizes natural language dialogue, and allows for descriptive, comparative, and superlative preference statements, in various situations. Another component of bcorn is its message-passing formalism, pcql, which is a notation used when describing preferential and factual statements and requests. bcorn is designed to be a generic recommendation dialogue strategy with conventional, information-providing, and recommendation capabilities, that each describes a natural chunk of a recommender agent's dialogue strategy, modeled in dialogue behavior diagrams that are run in parallel to give rise to coherent, flexible, and effective dialogue in conversational recommender systems. Three empirical studies have been carried out in order to explore the problem space of recommendation dialogue, and to verify the solutions put forward in this work. Study I is a corpus study in the domain of movie recommendations. The result of the study is a characterization of recommendation dialogue, and forms a base for a first prototype implementation of a human-computer recommendation dialogue control strategy. Study II is an end-user evaluation of the acorn system that implements the dialogue control strategy and results in a verification of the effectiveness and usability of the dialogue strategy. There are also implications that influence the refinement of the model that are used in the bcorn dialogue strategy model. Study III is an overhearer evaluation of a functional conversational recommender system called CoreSong, which implements the bcorn model. The result of the study is indicative of the soundness of the behavior-based approach to conversational recommender system design, as well as the informativeness, naturalness, and coherence of the individual bcorn dialogue behaviors.
I denna avhandling undersöks rekommendationsdialog med avseende på utformningen av dialogstrategier f¨or konverserande rekommendationssystem. Syftet med ett rekommendationssystem är att generera personaliserade rekommendationer utifrån potentiellt användbara domänobjekt i stora informationsrymder. I ett konverserande rekommendationssystem angrips detta problem genom att utnyttja naturligt språkk och dialog för att modellera användarpreferenser, liksom för att ge rekommendationer. Grundidén med konverserande rekommendationssystem är att utnyttja dialogsessioner för att upptäcka, uppdatera och utnyttja en användares preferenser för att förutsäga användarens intresse för domänobjekten som modelleras i ett system. Utformningen av dialogstrategihantering är därför en av de viktigaste uppgifterna för sådana system. Baserat på empiriska studier, liksom på utformning och implementering av konverserande rekommendationssystem, presenteras en beteendebaserad dialogmodell som kallas bcorn. bcorns bas utgörs av tre konstruktioner, vilka alla presenteras i denna avhandling. bcorn utnyttjar ett preferensmodelleringsramverk (preflets) som stöder och anv¨ander sig av naturligt språk i dialog och tillåter deskriptiva, komparativa och superlativa preferensuttryck i olika situationer. Den andra komponenten i bcorn är dess interna meddelande-formalism pcql, som är en notation som kan beskriva preferens- och faktiska påståenden och frågor. bcorn är utformat som en generell rekommendationshanteringsstrategi med konventionella, informationsgivande och rekommenderande förmågor, som var och en beskriver naturliga delar av en rekommendationsagents dialogstrategi. Dessa delar modelleras i dialogbeteendediagram som exekveras parallellt för att ge upphov till koherent, flexibel och effektiv dialog i konverserande rekommendationssystem. Tre empiriska studier har utförts för att utforska problemkomplexet som utgör rekommendationsdialog och för att verifiera de lösningar som tagits fram inom ramen för detta arbete. Studie I är en korpusstudie i filmrekommendationsdomänen. Studien resulterar i en karakteristik av rekommendationsdialog, och utgör basen för en första prototyp av dialoghanteringsstrategi för rekommendationsdialog mellan människa och dator. Studie II är en slutanvändarutvärdering av systemet acorn som implementerar denna dialoghanteringsstrategi och resulterar i en verifiering av effektivitet och användbarhet av strategin. Studien resulterar också i implikationer som påverkar utformningen av den modell som används i bcorn. Studie III är en medhörningsutvärdering av det funktionella konverserande rekommendationssystemet CoreSong, som implementerar bcorn-modellen. Resultatet av studien indikerar att det beteendebaserade angreppssättet är funktionellt och att de olika dialogbeteendena i bcorn ger upphov till h¨og informationskvalitet, naturlighet och koherens i rekommendationsdialog.
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Yang, Shuang-Hong. "Predictive models for online human activities." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43689.

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The availability and scale of user generated data in online systems raises tremendous challenges and opportunities to analytic study of human activities. Effective modeling of online human activities is not only fundamental to the understanding of human behavior, but also important to the online industry. This thesis focuses on developing models and algorithms to predict human activities in online systems and to improve the algorithmic design of personalized/socialized systems (e.g., recommendation, advertising, Web search systems). We are particularly interested in three types of online user activities, i.e., decision making, social interactions and user-generated contents. Centered around these activities, the thesis focuses on three challenging topics: 1. Behavior prediction, i.e., predicting users' online decisions. We present Collaborative-Competitive Filtering, a novel game-theoretic framework for predicting users' online decision making behavior and leverage the knowledge to optimize the design of online systems (e.g., recommendation systems) in respect of certain strategic goals (e.g., sales revenue, consumption diversity). 2. Social contagion, i.e., modeling the interplay between social interactions and individual behavior of decision making. We establish the joint Friendship-Interest Propagation model and the Behavior-Relation Interplay model, a series of statistical approaches to characterize the behavior of individual user's decision making, the interactions among socially connected users, and the interplay between these two activities. These techniques are demonstrated by applications to social behavior targeting. 3. Content mining, i.e., understanding user generated contents. We propose the Topic-Adapted Latent Dirichlet Allocation model, a probabilistic model for identifying a user's hidden cognitive aspects (e.g., knowledgability) from the texts created by the user. The model is successfully applied to address the challenge of ``language gap" in medical information retrieval.
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Man, Evelyn Yee-Fun. "Language use and language behaviour of Hong Kong Chinese students in Toronto." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0020/NQ27691.pdf.

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Latour, Marilyne. "Du besoin d'informations à la formulation des requêtes : étude des usages de différents types d'utilisateurs visant l'amélioration d'un système de recherche d'informations." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENL015/document.

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Devant des collections massives et hétérogènes de données, les systèmes de RI doivent désormais pouvoir appréhender des comportements d'utilisateurs aussi variés qu'imprévisibles. L'objectif de notre travail est d'évaluer la façon dont un même utilisateur verbalise un besoin informationnel à travers un énoncé de type « expression libre » (appelé langage naturel) et un énoncé de type mots-clés (appelé langage de requêtes). Pour cela, nous nous situons dans un contexte applicatif, à savoir des demandes de remboursement des utilisateurs d'un moteur de recherche dédié à des études économiques en français. Nous avons recueilli via ce moteur, les deux types d'énoncés sur 5 années consécutives totalisant un corpus de 1398 demandes en langage naturel et de 3427 requêtes. Nous avons alors comparé l'expression en tant que tel du besoin informationnel et mis en avant ce qu'apportait, en termes d'informations et de précisions, le recours à l'un ou l'autre du langage utilisé
With the massive and heterogeneous web document collections, IR system must analyze the behaviors of users which are unpredictable and varied. The approach described in this thesis provides a comparison of the verbalizations for both natural language and web query for the same information need by the same user. For this, we used data collected (i.e. users' complaints in natural language and web queries) through a search engine dedicated to economic reports in French over 5 consecutive years totaling a corpus of 1398 natural language requests and 3427 web queries. Then, we compared the expression of the information need and highlighted the contributions in terms of information and clarification, the use of either language used
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Rimmasch, Kathryn. "A Process-Based CALL Assessment: A Comparison of Input Processing and Program Use Behavior by Activity Type." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2220.pdf.

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Zhang, Qing. "Non-native speakers and virtual language learning environment : user behaviours and social discourse." Thesis, University of Huddersfield, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288506.

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Keller, Matthew J. "Relationships between Organizational Variables and the Inclusive Language Used by Leaders." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1307052049.

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Embree, Jared A. "Suicidal Behavior, Language Acquisition, and Deafness: Evaluating the potential relationship between age of language acquisition and prevalence of suicidal behavior in a Deaf population with co-occurring substance use disorder." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1310159367.

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Books on the topic "User Behavior Language"

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Language behavior in therapy groups. Berkeley: University of California Press, 1986.

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Xia, Lin, ed. Information architecture: The design and integration of information spaces. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2010.

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Luna, David. Bilingual consumers and the Web: Moderators of language effects in Website navigation. Cambridge, MA: Marketing Science Institute, 2002.

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Smith, Ronnie W., and D. Richard Hipp. Spoken Natural Language Dialog Systems. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195091878.001.0001.

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As spoken natural language dialog systems technology continues to make great strides, numerous issues regarding dialog processing still need to be resolved. This book presents an exciting new dialog processing architecture that allows for a number of behaviors required for effective human-machine interactions, including: problem-solving to help the user carry out a task, coherent subdialog movement during the problem-solving process, user model usage, expectation usage for contextual interpretation and error correction, and variable initiative behavior for interacting with users of differing expertise. The book also details how different dialog problems in processing can be handled simultaneously, and provides instructions and in-depth result from pertinent experiments. Researchers and professionals in natural language systems will find this important new book an invaluable addition to their libraries.
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Zinczenko, David. Hombres, Amor & Sexo: Guia completa para mujeres (Men, Love & Sex: The Complete User s Guide for Women). Aguilar, 2007.

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Linguistics and Language Behavior Abstract Users. 2nd ed. Sociological Abstracts, 1988.

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Kecskes, Istvan. Cross-Cultural and Intercultural Pragmatics. Edited by Yan Huang. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199697960.013.29.

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This chapter discusses the differences between cross-cultural and intercultural pragmatics. While cross-cultural pragmatics compares different cultures, based on the investigation of certain aspects of language use, such as speech acts, behaviour patterns, and language behaviour, intercultural pragmatics focuses on intercultural interactions and investigates the nature of the communicative process among people from different cultures, speaking different first languages. Cross-cultural pragmatics analyses the differences and similarities in the language behaviour of people representing different languages and cultures. Intercultural pragmatics, however—a relatively new discipline—is interested in what happens when representatives of different first languages and cultures communicate using a common language.
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Troisi, Alfonso. Nonverbal Communication. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199393404.003.0007.

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Humans use two different means to exchange information: language and nonverbal communication. Often nonverbal signals emphasize and specify what is being said with words. Yet sometimes they collide, and the words are contradicted by what seeps through facial expression, gesture, and posture. This chapter discusses two theoretical frameworks for studying these nonverbal behaviors. The first approach (the emotional model) aims at unveiling the emotional state from facial expression and gesture. The second approach (the behavioral ecology model) analyzes the social meaning of nonverbal behavior, regardless of the emotional state of the sender of nonverbal signals. The two models are not incompatible and can be integrated to study nonverbal behavior. Yet, the behavioral ecology model explains some findings that are not accounted for by the emotional model. The final part of the chapter deals with neuropsychiatric conditions, such as Williams syndrome and prosopagnosia, that alter the encoding and decoding of nonverbal signals. The impact of these conditions on real-life social behavior can be dramatic, which shows the adaptive relevance of nonverbal communication.
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Córdoba-Aguilar, Alex, Daniel González-Tokman, and Isaac González-Santoyo, eds. Insect Behavior. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797500.001.0001.

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The astonishing diversity of insects is well reflected at their behavioral level. This book summarizes the main behavioral findings and maintreams at different hierarchichal levels of insect behavior as well as how this information could be understood and used in terms of pest and vector control, and conservation biology. It contains 22 chapters written by leading authorities in the field, using a didactic language. Both advanced students and professionals will find this text an important source of reference and research ideas.
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Allan, Keith, ed. The Oxford Handbook of Taboo Words and Language. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198808190.001.0001.

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The Oxford Handbook of Taboo Words and Language defines taboo as a proscription of behaviour for a specifiable community of one or more persons at a specifiable time in specifiable contexts. What is in fact tabooed is the use of those words and language in certain contexts; in short, the taboo applies to instances of language behaviour. For behaviour to be proscribed it must be perceived as in some way harmful to an individual or their community but the degree of harm can fall anywhere on a scale from a breach of etiquette to out-and-out fatality. All tabooed behaviours are deprecated and they lead to social if not legal sanction. Taboos are described and the reasons and beliefs behind them are investigated. Tabooed words are typically dysphemistic, think of insults and swearing; tabooed language is avoided through various kinds of euphemism. In twenty chapters, the volume offers comprehensive coverage of tabooed language as perceived by experts in general linguistics, cultural linguistics, sociolinguistics, anthropological linguistics, psycholinguistics, neurolinguistics, historical linguistics, linguistic philosophy, forensic linguistics, politeness research, publishing, advertising, and theology. Although the principal focus is the English language, reference is occasionally made to linguistic taboos in other languages in order to compare sociocultural attitudes. The existence of taboos and the need to manage taboo lead not only to the censoring of behaviour and the imposition of censorship but also to language change and language development.
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Book chapters on the topic "User Behavior Language"

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Jiang, Bo, Ying Sha, and Lihong Wang. "Predicting User Mention Behavior in Social Networks." In Natural Language Processing and Chinese Computing, 146–58. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25207-0_13.

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Dryden, Windy, and Michael Neenan. "Use a Common Language." In Rational Emotive Behaviour Therapy, 32–34. Third edition. | London ; New York : Routledge, 2021. | Series: 100 key points: Routledge, 2020. http://dx.doi.org/10.4324/9781003132493-10.

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Lawson, Aaron, and John Murray. "Identifying User Demographic Traits Through Virtual-World Language Use." In Predicting Real World Behaviors from Virtual World Data, 57–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07142-8_4.

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Zarri, Gian Piero. "Behaviour Representation and Management Making Use of the Narrative Knowledge Representation Language." In Behavior Computing, 37–56. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2969-1_3.

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Milliner, Brett, and Blair Barr. "Computer-Assisted Language Testing and Learner Behavior." In Technology and the Psychology of Second Language Learners and Users, 115–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34212-8_5.

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Man, Evelyn Yee-fun. "First language use and language behavior of Chinese students in Toronto, Canada." In Studies in Bilingualism, 209–41. Amsterdam: John Benjamins Publishing Company, 2006. http://dx.doi.org/10.1075/sibil.32.14man.

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Navarro-Colorado, Borja, Marcel Puchol-Blasco, Rafael M. Terol, Sonia Vázquez, and Elena Lloret. "User Behaviour and Lexical Ambiguity in Cross-Language Image Retrieval." In Lecture Notes in Computer Science, 29–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15751-6_4.

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Monachesi, Paola, and Tigris de Leeuw. "Analyzing Elderly Behavior in Social Media Through Language Use." In HCI International 2018 – Posters' Extended Abstracts, 188–95. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92279-9_26.

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Fraga, Tania. "Designing Behaviors to Interactively Interlace Natural Language Processing, Text to Speech Procedures and Algorithmic Images." In Design, User Experience, and Usability: Designing Interactions, 437–46. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91803-7_33.

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Wu, Jianjun, Ying Sha, Rui Li, Qi Liang, Bo Jiang, Jianlong Tan, and Bin Wang. "Identification of Influential Users Based on Topic-Behavior Influence Tree in Social Networks." In Natural Language Processing and Chinese Computing, 477–89. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73618-1_40.

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Conference papers on the topic "User Behavior Language"

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Wanderley, Fernando, Antonio Silva, and Joao Araujo. "Evaluation of BehaviorMap: A user-centered behavior language." In 2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS). IEEE, 2015. http://dx.doi.org/10.1109/rcis.2015.7128891.

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Tsagkias, Manos, and Roi Blanco. "Language intent models for inferring user browsing behavior." In the 35th international ACM SIGIR conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2348283.2348330.

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Wu, Chuhan, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, and Xing Xie. "Neural News Recommendation with Heterogeneous User Behavior." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1493.

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Beaver, Ian, and Cynthia Freeman. "Analysis of user behavior with multimodal virtual customer service agents." In 2016 IEEE Spoken Language Technology Workshop (SLT). IEEE, 2016. http://dx.doi.org/10.1109/slt.2016.7846322.

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"Studying Human Translation Behavior with User-activity Data." In The 5th International Workshop on Natural Language Processing and Cognitive Science. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001744601140123.

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Desyaputri, Diandra Mayang, Alva Erwin, Maulahikmah Galinium, and Didi Nugrahadi. "News recommendation in Indonesian language based on user click behavior." In 2013 International Conference on Information Technology and Electrical Engineering (ICITEE). IEEE, 2013. http://dx.doi.org/10.1109/iciteed.2013.6676232.

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Prangchumpol, D., S. Sanguansintukul, and P. Tantasanawong. "Analyzing user behavior from server logs for improved virtualization management." In 2009 Eighth International Symposium on Natural Language Processing (SNLP). IEEE, 2009. http://dx.doi.org/10.1109/snlp.2009.5340943.

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Zhang, Guiping, Ying Sun, Baosheng Yin, and Na Ye. "Translation evaluation without reference based on user behavior model." In 2010 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). IEEE, 2010. http://dx.doi.org/10.1109/nlpke.2010.5587818.

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Martínez-Gómez, Pascual, and Akiko Aizawa. "Recognition of understanding level and language skill using measurements of reading behavior." In IUI'14: IUI'14 19th International Conference on Intelligent User Interfaces. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2557500.2557546.

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Belletti, Francois, Minmin Chen, and Ed H. Chi. "Quantifying Long Range Dependence in Language and User Behavior to improve RNNs." In KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3292500.3330944.

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Reports on the topic "User Behavior Language"

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Hoinkes, Ulrich. Indexicality and Enregisterment as Theoretical Approaches to the Sociolinguistic Analysis of Romance Languages. Universitatsbibliothek Kiel, November 2019. http://dx.doi.org/10.21941/hoinkesindexenregromlang.

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Social indexicality and enregisterment are basic notions of a theoretical model elaborated in the United States, the aim of which is to describe the relationship between the use of language variation and patterns of social behavior at the level of formal classification. This analytical approach is characterized by focusing on the interrelation of social performance and language awareness. In my contribution, I want to show how this modern methodology can give new impetus to the study of today’s problem areas in Europe, such as migration and language or urban life and language use. In particular, I am interested in the case of Catalan, which has been studied for some time by proponents of the North American enregisterment theory. This leads me to indicate that explicit forms of social conduct, such as language shift or the emblematic use of linguistic forms, can be interpreted with regard to the social indexicality of Catalan. I thus analyze them in a way which shows that authenticity and integration in Catalan society can be achieved to a considerable extent by practicing forms of linguistic enregisterment.
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Mateo Díaz, Mercedes, Laura Becerra Luna, Juan Manuel Hernández-Agramonte, Florencia López, Marcelo Pérez Alfaro, and Alejandro Vasquez Echeverria. Nudging Parents to Improve Preschool Attendance in Uruguay. Inter-American Development Bank, November 2020. http://dx.doi.org/10.18235/0002901.

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Uruguay has increased it preschool enrollment, reaching almost universal coverage among four- and five-year-olds. However, more than a third of children enrolled in preschool programs have insufficient attendance, with absenteeism higher in schools in lower socioeconomic areas and among younger preschool children. This paper presents the results of a behavioral intervention to increase preschool attendance nationwide. Most previous experiments using behavioral sciences have looked at the impact of nudging parents on attendance and learning for school-age children; this is the first experiment looking at both attendance and child development for preschool children. It is also the first behavioral intervention to use a government mobile app to send messages to parents of preschool children. The intervention had no average treatment effect on attendance, but results ranged widely across groups. Attendance by children in the 25th 75th percentiles of absenteeism rose by 0.320.68 days over the course of the 13-week intervention, and attendance among children in remote areas increased by 1.48 days. Among all children in the study, the intervention also increased language development by 0.10 standard deviations, an impact similar to that of very labor-intensive programs, such as home visits. The intervention had stronger effects on children in the remote provinces of Uruguay, increasing various domains of child development by about 0.33 to 0.37 standard deviations. Behavioral interventions seeking to reduce absenteeism and raise test scores usually nudge parents on both the importance of attendance and ways to improve child development. In this experiment, the nudges focused only on absenteeism but had an effect on both.
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