Proceedings of the 5th International Conference on Human Agent Interaction 2017
DOI: 10.1145/3125739.3125750
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Effects of a Listener Robot with Children in Storytelling

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Cited by 23 publications
(7 citation statements)
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References 21 publications
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“…In addition, embodiment positively affected enjoyment and liking [55,70,89]. Furthermore, adding a second robot to an interaction seems to positively influence engagement [145] as well as self-reported enjoyment [132].…”
Section: Experiential Statesmentioning
confidence: 91%
See 1 more Smart Citation
“…In addition, embodiment positively affected enjoyment and liking [55,70,89]. Furthermore, adding a second robot to an interaction seems to positively influence engagement [145] as well as self-reported enjoyment [132].…”
Section: Experiential Statesmentioning
confidence: 91%
“…In terms of internal states, three studies consistently found enjoyment to be higher in 8-year-olds than in 12-yearolds [121][122][123]. Findings with respect to age-related differences in engagement were inconsistent [9,20,58,85,90,95,104,129,132,145]. No generalizations could be made with respect to influences of age and biological sex on closeness and trust.…”
Section: Influences Of User Characteristicsmentioning
confidence: 99%
“…In contrast, in this frame, the robot is brought into and is participating in the emergent narrative of the user's life. Examples include a robot that is designed by Tamura et al. (2017) to listen to children's stories and a robotic assistant designed to proactively offer help to its user whenever it can Baraglia et al.…”
Section: Mechanismsmentioning
confidence: 99%
“…Previous studies have reported that using multiple robots in conversations has positive effects on applications. For example, multiple robots are helpful for role-playing activities such as story-telling for children [21][22][23], comedy shows [24,25], language learning systems [26], and information-providing in public spaces [27,28]. Moreover, some studies have shown the effects of using multiple robots to alleviate problems in human-robot conversations [29][30][31].…”
Section: Approachmentioning
confidence: 99%