2019
DOI: 10.1177/1461444819851479
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First encounter with robot Alpha: How individual differences interact with vocal and kinetic cues in users’ social responses

Abstract: The Computers are Social Actors (CASA) paradigm was proposed more than two decades ago to understand humans’ interaction with computer technologies. Today, as emerging technologies like social robots become more personal and persuasive, questions of how users respond to them socially, what individual factors leverage the relationship, and what constitutes the social influence of these technologies need to be addressed. A lab experiment was conducted to examine the interactions between individual differences an… Show more

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Cited by 56 publications
(28 citation statements)
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“…Adding features that increase facial mimicry (e.g., smiling and blinking) and body movement (e.g., leaning forward) may lead to even more social presence, and to getting a “better feel” of the applicant. Indeed, recent research reveals that adding more humanlike kinetic cues to a social robot increases the perceived intimacy of the interaction (Xu, 2019 ). However, adding such features will entail the disadvantage of allowing certain triggers to perceptual biases, as applicants with more lively facial mimicry and body movement are typically associated with being extravert, which may lead to favorability bias and more positive assessments (Paulhus and Morgan, 1997 ; Swann and Rentfrow, 2001 ).…”
Section: Discussionmentioning
confidence: 99%
“…Adding features that increase facial mimicry (e.g., smiling and blinking) and body movement (e.g., leaning forward) may lead to even more social presence, and to getting a “better feel” of the applicant. Indeed, recent research reveals that adding more humanlike kinetic cues to a social robot increases the perceived intimacy of the interaction (Xu, 2019 ). However, adding such features will entail the disadvantage of allowing certain triggers to perceptual biases, as applicants with more lively facial mimicry and body movement are typically associated with being extravert, which may lead to favorability bias and more positive assessments (Paulhus and Morgan, 1997 ; Swann and Rentfrow, 2001 ).…”
Section: Discussionmentioning
confidence: 99%
“…This raises a serious question of reliability given that people will tend to answer a question even when they have no answer [94]. Others did not consider the impact of gender, e.g., References [33,74,137,190]. In such cases, design decisions maintained the status quo.…”
Section: Methodologicalmentioning
confidence: 99%
“…For example, a therapist agent was gendered female, because at the time of the study and in that cultural context most therapists were women [33]. Others used a male voice based on the assumption that robots are read as male [190]. Lack of awareness, lack of interest, or understandable limitations in technical, research, or budget scope may have been at play.…”
Section: Methodologicalmentioning
confidence: 99%
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