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ABSTRACT
Given the importance of credibility in computing products, the
research on computer credibility is relatively small. To enhance
knowledge about computers and credibility, we define key terms
relating to computer credibility, synthesize the literature in this
domain, and propose three new conceptual frameworks for better
understanding the elements of computer credibility. To promote
further research, we then offer two perspectives on what computer
users evaluate when assessing credibility. We conclude by
presenting a set of credibility-related terms that can serve in
future research and evaluation endeavors.
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CITED BY 50
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B. J. Fogg , Jonathan Marshall , Othman Laraki , Alex Osipovich , Chris Varma , Nicholas Fang , Jyoti Paul , Akshay Rangnekar , John Shon , Preeti Swani , Marissa Treinen, What makes Web sites credible?: a report on a large quantitative study, Proceedings of the SIGCHI conference on Human factors in computing systems, p.61-68, March 2001, Seattle, Washington, United States
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Batya Friedman , Peter H. Kahn, Jr., Human values, ethics, and design, The human-computer interaction handbook: fundamentals, evolving technologies and emerging applications, Lawrence Erlbaum Associates, Inc., Mahwah, NJ, 2002
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B. J. Fogg , Cathy Soohoo , David R. Danielson , Leslie Marable , Julianne Stanford , Ellen R. Tauber, How do users evaluate the credibility of Web sites?: a study with over 2,500 participants, Proceedings of the 2003 conference on Designing for user experiences, June 06-07, 2003, San Francisco, California
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BJ Fogg , Jonathan Marshall , Alex Osipovich , Chris Varma , Othman Laraki , Nicholas Fang , Jyoti Paul , Akshay Rangnekar , John Shon , Preeti Swani , Marissa Treinen, Elements that affect web credibility: early results from a self-report study, CHI '00 extended abstracts on Human factors in computing systems, April 01-06, 2000, The Hague, The Netherlands
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BJ Fogg , Jonathan Marshall , Tami Kameda , Joshua Solomon , Akshay Rangnekar , John Boyd , Bonny Brown, Web credibility research: a method for online experiments and early study results, CHI '01 extended abstracts on Human factors in computing systems, March 31-April 05, 2001, Seattle, Washington
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B. J. Fogg, Motivating, influencing, and persuading users, The human-computer interaction handbook: fundamentals, evolving technologies and emerging applications, Lawrence Erlbaum Associates, Inc., Mahwah, NJ, 2002
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Karen Clarke , John Hughes , Dave Martin , Mark Rouncefield , Ian Sommerville , Corin Gurr , Mark Hartswood , Rob Procter , Roger Slack , Alex Voss, Dependable red hot action, Proceedings of the eighth conference on European Conference on Computer Supported Cooperative Work, p.61-80, September 14-18, 2003, Helsinki, Finland
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Henriette Cramer , Vanessa Evers , Satyan Ramlal , Maarten Someren , Lloyd Rutledge , Natalia Stash , Lora Aroyo , Bob Wielinga, The effects of transparency on trust in and acceptance of a content-based art recommender, User Modeling and User-Adapted Interaction, v.18 n.5, p.455-496, November 2008
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Alia Amin , Junte Zhang , Henriette Cramer , Lynda Hardman , Vanessa Evers, The effects of source credibility ratings in a cultural heritage information aggregator, Proceedings of the 3rd workshop on Information credibility on the web, April 20-20, 2009, Madrid, Spain
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Ana C. Andrés del Valle , Jeannie Huang , Karen Becerra , Susan Fernandez, Evaluating weight perception using digital facial-image feedback, Proceedings of the 27th international conference extended abstracts on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
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Henriette S.M. Cramer , Vanessa Evers , Maarten W. van Someren , Bob J. Wielinga, Awareness, training and trust in interaction with adaptive spam filters, Proceedings of the 27th international conference on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Evaluation/methodology
Additional Classification:
H.
Information Systems
H.1
MODELS AND PRINCIPLES
General Terms:
Design,
Human Factors,
Theory
Keywords:
captology,
credibility,
expertise,
influence,
information quality,
persuasion,
psychology of HCI,
trust,
trustworthiness
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