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Books on the topic 'Users information behavior'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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1

Association, Information Resources Management. Cyber behavior: Concepts, methodologies, tools, and applications. Hershey, PA: Information Science Reference, 2014.

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2

Sudatta, Chowdhury, ed. Information users and usability in the digital age. New York: Neal-Schuman Publishers, Inc., 2011.

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3

Wang luo shou zhong xin li xing wei yan jiu: Yi zhong xin xi cha xun de yan jiu fan shi. Beijing: Xin hua chu ban she, 2002.

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4

Siegfried, Doreen. Nutzerbezogene Marktforschung für Bibliotheken: Eine Praxiseinführung. Berlin: De Gruyter Saur, 2014.

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5

Foster, Jonathan. Collaborative information behavior: User engagement and communication sharing. Hershey PA: Information Science Reference, 2010.

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6

Foster, Jonathan. Collaborative information behavior: User engagement and communication sharing. Hershey PA: Information Science Reference, 2010.

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7

Planning and implementing resource discovery tools in academic libraries. Hershey PA: Information Science Reference, 2012.

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8

Wood, Frances. Effect of postings information on user searching behaviour. Wetherby: British Library Research and Development Department, 1994.

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9

Wood, Frances. Effect of postings information on user searching behaviour. London: British Library Research and Development Department, 1994.

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10

Barden, Phil. Information flows into industrial research: A survey of users' attitudes and behaviour, November 1989. [Boston Spa]: British Library Document Supply Centre, 1989.

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11

1963-, Wang Yuefen, ed. Xin xi huo qu yu yong hu fu wu: Information acquisition and user service. Beijing: Ke xue chu ban she, 2010.

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12

Barden, Phil. Information flows into industrial research: A survey of user's attitudes and behaviour : November 1989. Boston S: British Library Document Supply Centre, 1989.

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13

Watson, Mary Jean. Adolescent oral contraceptive users' self-efficacy expectations, sources of efficacy information, and intention to terminate tobacco smoking behaviour. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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14

Menzies, Christopher. Evaluation of Web based tourist information: Development of a best practice criteria with reference to information design and user behaviour. Birmingham: University of Central England in Birmingham, 2000.

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15

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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16

Next generation search engines: Advanced models for information retrieval. Hershey PA: Information Science Reference, 2012.

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17

Brusilovsky, Peter. User Modeling 2003: 9th International Conference, UM 2003 Johnstown, PA, USA, June 22 26, 2003 Proceedings. Berlin: Springer-Verlag Berlin Heidelberg, 2003.

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18

Tsvi, Kuflik, and SpringerLink (Online service), eds. Advances in User Modeling: UMAP 2011 Workshops, Girona, Spain, July 11-15, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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19

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

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20

Jana, Varlejs, and Rutgers University. School of Communication, Information, and Library Studies., eds. Information seeking: Basing services on users' behaviors. Jefferson, N.C: McFarland, 1987.

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21

Chowdhury, G. G., and Sudatta Chowdhury. Information Users and Usability in the Digital Age. Facet Publishing, 2013.

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22

Leveraging Wikipedia: Connecting communities of knowledge. 2018.

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23

Kim, Sang-oh. Effects of information on users' normative standards, perceived conflict, and depreciative behavior at campgrounds of Chiri-Mountain National Park, Korea. 1995.

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24

Laloo, Bikika Tariang. Information Needs, Information Seeking Behaviour and Users. Ess Ess Publications, 2002.

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25

Bertot, John Carlo, Natalie Greene Taylor, and Mega Subramaniam. Digital Literacy and Digital Inclusion: Information Policy and the Public Library. Rowman & Littlefield Publishers, 2014.

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26

Information, and Library Studies Rutgers University School of Communication (Corporate Author) and Jana Varlejs (Editor), eds. Information Seeking: Basing Services on User's Behaviors. Mcfarland & Co Inc Pub, 1987.

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27

1965-, Foster Jonathan, ed. Collaborative information behavior: User engagement and communication sharing. Hershey PA: Information Science Reference, 2010.

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28

Hemalata, Iyer, ed. Electronic resources: Use and user behavior. New York: Haworth Press, 1998.

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29

Azzopardi, Leif, and Guido Zuccon. Economic Models of Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0012.

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This chapter provides a tutorial on how economics can be used to model the interaction between users and systems. Economic theory provides an intuitive and natural way to model Human-Computer Interaction which enables the prediction and explanation of user behaviour. A central tenet of the approach is the utility maximisation paradigm where it is assumed that users seek to maximise their profit/benefit subject to budget and other constraints when interacting with a system. By using such models it is possible to reason about user behaviour and make predictions about how changes to the interface or the users interactions will affect performance and behaviour. In this chapter, we describe and develop several economic models relating to how users search for information. While the examples are specific to Information Seeking and Retrieval, the techniques employed can be applied more generally to other human-computer interaction scenarios. Therefore, the goal of this chapter is to provide an introduction and overview of how to build economic models of human-computer interaction that generate testable hypotheses regarding user behaviour which can be used to guide design and inform experimentation.
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30

Detlor, Brian T. Designing Intranets for knowledge work: An investigation of the information use environment and information behaviors of Intranet users. 1997.

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31

Information Access And Library User Needs In Developing Countries. Idea Group,U.S., 2013.

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32

User research: A review of information behaviour studies in science and technology. Bilio Infon Services, 1988.

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33

Collins, Brigit. A study of the information requirements and the information seeking behaviour of users at Hayward House Hospice Library, Nottingham. 1993.

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34

Missaoui, Rokia, Talel Abdessalem, and Matthieu Latapy. Trends in Social Network Analysis: Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment. Springer, 2018.

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35

Yuan, Weijing. Longitudinal study of end-user searching behaviour of law students in information retrieval. 1995.

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36

Children's usage of an information retrieval system. Ann Arbor, Mich: University Microfilms International, 1992.

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37

Detlor, Brian. Facilitating organizational knowledge work through web information systems: An investigation of the information ecology and information behaviours of users in a telecommunications company. 2000.

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38

Turnbull, Don. Knowledge discovery in databases of web use: Data mining for informetric and behavioral models of information seeking on the World Wide Web. 2002.

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39

Sillence, Elizabeth, and Pam Briggs. Examining the role of the Internet in health behaviour. Edited by Adam N. Joinson, Katelyn Y. A. McKenna, Tom Postmes, and Ulf-Dietrich Reips. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199561803.013.0022.

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This article explores the role of the Internet in health behaviour, with particular emphasis on the issue of trust and trusting behaviours, as this is seen as key to determining the impact of the Internet on health outcomes. It is organized as follows. The first section discusses the role of the Internet in the context of health information and advice, exploring broader issues such as user motivation and outcomes in terms of perceived health benefits, as well as interactions with healthcare professionals. The article then goes on to examine the types of health websites available, and explores issues of advice and information quality. The following section examines the context of trust in relation to online health advice and information, and presents a staged model of trust that helps reconcile differences in the literature. The last section presents a validation of the staged model through in-depth, longitudinal qualitative work.
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40

Atkin, E. R. Current and possible future end-user information seeking behaviour amongst Business School and academic and research staff. Loughborough, 1996.

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41

Probing Experience From Assessment Of User Emotions And Behaviour To Development Of Products. Springer, 2008.

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42

Lien, Diao Ai. An examination of causal factors of information needs and behaviour of users of APTIK (the Association of Catholic Higher Learning Institutes of Indonesia) libraries. 1994.

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43

Kent, Allen. Encyclopedia of Library and Information Science: Volume 65 - Supplement 28: Behavioral ImPatts of Consultative Systems: A Structural Model for User Reliance ... of Library and Information Science). CRC, 1999.

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44

Oulasvirta, Antti, Per Ola Kristensson, Xiaojun Bi, and Andrew Howes, eds. Computational Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.001.0001.

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This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automation, and analysis to inform our understanding of the structure of interaction and also to inform the design of the software that drives new and exciting human-computer interfaces. The methods of computational interaction allow, for example, designers to identify user interfaces that are optimal against some objective criteria. They also allow software engineers to build interactive systems that adapt their behaviour to better suit individual capacities and preferences. Embedded in an iterative design process, computational interaction has the potential to complement human strengths and provide methods for generating inspiring and elegant designs. Computational interaction does not exclude the messy and complicated behaviour of humans, rather it embraces it by, for example, using models that are sensitive to uncertainty and that capture subtle variations between individual users. It also promotes the idea that there are many aspects of interaction that can be augmented by algorithms. This book introduces computational interaction design to the reader by exploring a wide range of computational interaction techniques, strategies and methods. It explains how techniques such as optimisation, economic modelling, machine learning, control theory, formal methods, cognitive models and statistical language processing can be used to model interaction and design more expressive, efficient and versatile interaction.
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45

Valeriano, Brandon. China and the Technology Gap. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190618094.003.0006.

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The discourse on Chinese cyber security practices often fails to match the reality of actual behavior. This chapter examines how Beijing uses the digital domain in rival interactions. First, it unpacks the literature on how China uses cyber capabilities to shape the international system and enable its rise as a great power, highlighting how threat inflation crowds out empirical perspectives that demonstrate stability and predictability. Second, it situates Beijing’s approach to the digital domain in Chinese strategic theory, illustrating China’s early focus on innovation and preemption and its evolution toward using digital power to control the domestic population and seek information advantages. Third, it uses these insights to analyze empirically all publicly attributed Chinese cyber incidents. This portrait highlights the unique leverage, and limitations, of cyber espionage as a form of coercive bargaining between rival states.
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46

Institute, Ingenta, and Royal Society (Great Britain), eds. Assumptions versus reality: User behaviour in sourcing scholarly information : edited proceedings of a meeting held on 25th September 2001 at the Royal Society, London. Oxford: Ingenta Institute, 2001.

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47

Zagare, Frank C. Game Theory, Diplomatic History and Security Studies. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198831587.001.0001.

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The main purpose of this book is to demonstrate, by way of example, the several advantages of using a formal game-theoretic framework to explain complex events, diplomatic history, and contentious interstate relationships, via causal mechanisms and rationality. Chapter 1 lays out the broad parameters and major concepts of the mathematical theory of games and its applications in the security studies literature. Chapter 2 explores a number of issues connected with the use of game-theoretic models to organize analytic narratives, both generally and specifically. Chapter 3 interprets the Moroccan crisis of 1905–6 in the context of an incomplete information game model. Chapter 4 surveys and evaluates several prominent attempts to use game theory to explain the strategic dynamic of the Cuban missile crisis of 1962. Chapter 5 offers a general explanation that answers all of the foundational questions associated with the Cuban crisis within the confines of a single, integrated, game-theoretic model with incomplete information. Chapter 6 uses the same game form to develop a logically consistent and empirically plausible explanation of the outbreak of war in Europe in early August 1914. Chapter 7 introduces perfect deterrence theory and contrasts it with the prevailing realist theory of interstate war prevention, and classical deterrence theory. Chapter 8 addresses the charge made by some behavioral economists (and many strategic analysts) that game theory is of limited utility for understanding interstate conflict behavior.
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48

Davis, George C., and Elena L. Serrano. Neuroeconomics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199379118.003.0010.

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Chapter 10 places both the neoclassical and behavioral economic approaches under the broader unifying framework of neuroeconomics. The chapter uses insights from the neuroscience and neuroeconomics literature to consider food and nutrition choices within a dual systems dual objectives framework with limited cognitive resources. This framework allows us to reinterpret and re-evaluate various factors already discussed in the book, ranging from income, to prices, to information campaigns, to behavioral effects. This broader framework sheds new light on why some factors may seem more important than others. This leads naturally to a discussion of the types of nutrition interventions that are most likely to be most effective as well.
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49

Bi, Xiaojun, Andrew Howes, Per Ola Kristensson, Antti Oulasvirta, and John Williamson. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0001.

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This chapter introduces the field of computational interaction, and explains its long tradition of research on human interaction with technology that applies to human factors engineering, cognitive modelling, artificial intelligence and machine learning, design optimization, formal methods, and control theory. It discusses how the book as a whole is part of an argument that, embedded in an iterative design process, computational interaction design has the potential to complement human strengths and provide a means to generate inspiring and elegant designs without refuting the part played by the complicated, and uncertain behaviour of humans. The chapters in this book manifest intellectual progress in the study of computational principles of interaction, demonstrated in diverse and challenging applications areas such as input methods, interaction techniques, graphical user interfaces, information retrieval, information visualization, and graphic design.
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50

Guthrie, Graeme. No skin in the game. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190641184.003.0009.

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Boards can delegate some of the task of monitoring management to financial analysts, who reduce the asymmetry of information between a firm’s insiders and outside investors, which makes the various tools for reducing manager-shareholder conflict more effective. This chapter uses events at SPX, a mid-western manufacturing firm undergoing explosive growth, to explain the role that financial analysts play in monitoring management. It shows how career concerns can give financial analysts—who typically have little direct exposure to a firm’s share price—a strong incentive to monitor management. It also shows how analysts’ effectiveness as delegated monitors is limited by their own conflicts of interest and how the market’s response to analysts’ recommendations can have unwelcome effects on managers’ behavior.
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