How might people interact with agents
Communications of the ACM
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User Interfaces for voice applications
Voice communication between humans and machines
Can computer personalities be human personalities?
International Journal of Human-Computer Studies
The media equation: how people treat computers, television, and new media like real people and places
“Social” human-computer interaction
Human values and the design of computer technology
Interface agents: metaphors with character
Human values and the design of computer technology
Being Digital
Beyond Interaction Design: Beyond Human-Computer Interaction
Beyond Interaction Design: Beyond Human-Computer Interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Smart home care network using sensor fusion and distributed vision-based reasoning
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Social reactions toward people vs. computers: How mere lables shape interactions
Computers in Human Behavior
Meta-analysis of correlations among usability measures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human-robot interaction: a survey
Foundations and Trends in Human-Computer Interaction
Correlations among prototypical usability metrics: evidence for the construct of usability
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The determinants and expression of computer-related anger
Computers in Human Behavior
Computers in Human Behavior
Computers in Human Behavior
The uncanny valley does not interfere with level 1 visual perspective taking
Computers in Human Behavior
Receptive to bad reception: Jerky motion can make persuasive messages more effective
Computers in Human Behavior
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Do people treat computers as social actors? To answer this question, researchers have measured the extent to which computers elicit social responses in people, such as impression management strategies for influencing the perceptions of others. But on this question findings in the literature conflict. To make sense of these findings, the present study proposes a dual-process model of impression management in human-computer interaction. The model predicts that, although machines may elicit nonconscious impression management strategies, they do not generally elicit conscious impression management strategies. One such strategy is presenting oneself favorably to others, which can be measured as social desirability bias when comparing self-reported preferences with implicit preferences. The current study uses both a questionnaire and an implicit association test (IAT) to compare attitudes toward human and machine speech. Although past studies on social desirability bias have demonstrated people's tendency to underreport their preference for the preferred group when comparing two human groups, the current study found that, when comparing human speech and machine-synthesized speech, participants instead overreported their preference for the preferred (human) group. This finding supports the proposed dual-process model of impression management, because participants did not consciously treat computers as social actors.