Interactivity in human–computer interaction: a study of credibility, understanding, and influence

By Judee K. Burgoon, J. Bonito, Bjorn Bengtsson, C. Cederberg, M. Lundeberg, L. Allspach. 2000

380 citations recorded by the source corpus.

Subfields: Literature and Literary Theory, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/71054b3a96ca9feb4753749fabbe697145c0fdcf

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Citations in the corpus

behaviors on the perceived credibility of web-based information The role of site features, user attributes, and information verification (2007, background): “In addition, further exploration of site attributes is warranted both theoretically and empirically (Burgoon et al., 2000; Eastin, 2001; Eysenbach and Kohler, 2002; Metzger et al., 2003; Schweiger, 2000) and the central role of user attributes and behaviors (e.g verification of web information) is…”
Technology, Humanness, and Trust: Rethinking Trust in Technology (2015, background): “Dynamism also relates to the contingent nature of interactive systems that can result in unpredictable content or experiences (Burgoon et al., 2000) that are characteristic of human relationships.”
Preliminary Development of a Model and Measure of Computer-Mediated Communication (CMC) Competence (2006, background): “(2002; Burgoon et al., 2000) argue that these constraints merely produce an upper boundary on the principle of interactivity, which further suggests the functional equivalence of FtF skills to the CMC context.”
Too real for comfort? Uncanny responses to computer generated faces (2009, background): “The term uncanny valley is now commonly applied to animated characters in films and video games. cial responses increases with the human likeness of a computer interface or virtual agent (Burgoon et al., 2000; Gong, 2008).”
The Benefits of Interactions with Physically Present Robots over Video-Displayed Agents (2011, background): “Many studies use questionnaires to capture participants’ perceptions [3, 4, 6, 9, 10], however participants’ responses to questionnaires can be biased by factors outside of the intended experimental manipulation.”
The effect of presence on human-robot interaction (2008, background): “Previous work using questionnaires has shown that embodied robots are consistently perceived as more engaging than a character on a video display, and sometimes as engaging as a human [ 4 ],[5].”
Effect of a robot on user perceptions (2004, methodology): “Computers have been shown to be more persuasive than humans in several studies [ 1 , 9, 10], so this may not be difficult to accomplish.”
On seeing human: a three-factor theory of anthropomorphism. (2007, background): “Participants playing a desert survival task in one experiment reported feeling better understood in the task when more anthropomorphic faces and voices appeared in the interface (Burgoon et al., 2000).”
Persuasive Robotics: The influence of robot gender on human behavior (2009, background): “Also, the persuasive abilities of virtual humans is being explored from a number of different angles [17], [18], [19], [20], [21].”
Analysis and Improvement of the Measurement of Interpersonal Attraction and Homophily (2006, background): “In a study of interactivity in human /computer interaction, Burgoon et al. (2000) examined if increased richness and anthropomorphism in interface design lead to computers being more influential during a decision-making task with a human partner.”
Pedagogical Agents as Social Models to Influence Learner Attitudes (2007, positive): “Based on literature, the functions of the agents were defined according to four sources of self-efficacy (Bandura, 1997) and three qualities of interactive process (Burgoon et al., 2000).”