Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems 2021
DOI: 10.1145/3411764.3445561
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Should Robots Blush?

Abstract: Social interaction is the most complex challenge in daily life. Inevitably, social robots will encounter interactions that are outside their competence. This raises a basic design question: how can robots fail gracefully in social interaction? The characteristic human response to social failure is embarrassment. Usefully, embarrassment signals both recognition of a problem and typically enlists

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Cited by 15 publications
(7 citation statements)
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References 72 publications
(86 reference statements)
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“…None. Clark and Fischer (C&F) provide a timely reminder that there is a large and underappreciated gap between the ambitions of social robotics and the actual social competence of robots (Park, Healey, & Kaniadakis, 2021). As they demonstrate, natural conversation presents complex challenges that go well beyond current engineering capabilities (see also Healey, 2021).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…None. Clark and Fischer (C&F) provide a timely reminder that there is a large and underappreciated gap between the ambitions of social robotics and the actual social competence of robots (Park, Healey, & Kaniadakis, 2021). As they demonstrate, natural conversation presents complex challenges that go well beyond current engineering capabilities (see also Healey, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Unlike shame, embarrassment also directly implicates other participants in a coordinated understanding of what has failed, how it failed and how to recover from it. Interestingly, robots are not currently designed to systematically recognise or produce signals of embarrassment (Park et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…For the response, verbal responses occurred in 38 articles out of 52 while nonverbal responses occurred 27 times. The most-used modality was visuals [39,43,45,47,49,50,[52][53][54][55][56][57]62,63,65,67,71,74,77,83,[89][90][91][92][93]95]-26 out of 52 articles. The second-most used was voice [39,42,46-50, 54,59-62,68,69,72,74,82,83,89,91,94,96,97]-23 out of 52 articles.…”
Section: Discussionmentioning
confidence: 99%
“…For the design and implementation, many groups are similar to the implementation only, as applications [41,49,87], agents [48,54,68,88], products [63,74,89,90], and visualisations [50,89]. For the design, we grouped the articles into behaviour design [75,[91][92][93][94], machine and application design [47,52,56,60,65,69,[95][96][97], visualisations [67], and strategies and approaches [51,64,66].…”
Section: Design And/or Implementationmentioning
confidence: 99%
“…Expression Expressions, both visual and mental, are an important aspect of viewing SARs as a potential companion, rather than a simple tool, and are therefore important for creating a robot that users want to care for. Showing basic human-like characteristics can help with allowing users to feel that they can understand and relate to a SAR [26]. However, these expressions do not always need to be a direct mirror of human expression.…”
Section: Frameworkmentioning
confidence: 99%