2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2016
DOI: 10.1109/hri.2016.7451760
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Effects of voice-adaptation and social dialogue on perceptions of a robotic learning companion

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Cited by 50 publications
(31 citation statements)
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“…Thus, we suspect that the robot's social capabilities (such as nonverbal immediacy) can influence children's learning-as we have seen here and in multiple other studies discussed earlier-but that the influence of social behavior is moderated by other factors, such as the extent to which the robot's sociality is necessary for the learning activity to proceed smoothly (as in the case of conversation and storytelling-based activities), and the extent to which the robot's social behavior helps build rapport. This hypothesis is supported by Lubold and colleagues' recent work with middle school children and adults, in which a social robot with vocal entrainment contributed to increased learning on math tasks, though not increases in self-reported rapport (Lubold et al, 2016(Lubold et al, , 2018Lubold, 2017). Because the vocal entrainment served not only to match pitch and other vocal features, but also made the robot's text-to-speech voice much more expressive, these studies could not disentangle the effects of expressivity from entrainment-however, both expressivity and entrain increase the robot's social capabilities.…”
Section: Relation To Related Workmentioning
confidence: 66%
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“…Thus, we suspect that the robot's social capabilities (such as nonverbal immediacy) can influence children's learning-as we have seen here and in multiple other studies discussed earlier-but that the influence of social behavior is moderated by other factors, such as the extent to which the robot's sociality is necessary for the learning activity to proceed smoothly (as in the case of conversation and storytelling-based activities), and the extent to which the robot's social behavior helps build rapport. This hypothesis is supported by Lubold and colleagues' recent work with middle school children and adults, in which a social robot with vocal entrainment contributed to increased learning on math tasks, though not increases in self-reported rapport (Lubold et al, 2016(Lubold et al, , 2018Lubold, 2017). Because the vocal entrainment served not only to match pitch and other vocal features, but also made the robot's text-to-speech voice much more expressive, these studies could not disentangle the effects of expressivity from entrainment-however, both expressivity and entrain increase the robot's social capabilities.…”
Section: Relation To Related Workmentioning
confidence: 66%
“…Some recent work has explored increasing prosodic synchrony in a speech-controlled child-robot game in order to promote cooperation and improve enjoyment (Chaspari and Lehman, 2016;Sadoughi et al, 2017). In addition, Lubold and colleagues developed several social voice-adaptive robots that adjust the pitch of the robot's text-to-speech voice to match that of its human interlocutor (Lubold et al, 2015(Lubold et al, , 2016(Lubold et al, , 2018Lubold, 2017). This vocal entrainment contributed to increased learning with undergraduate students as well as middle school students during math tasks, but did not increase self-reported rapport.…”
Section: Speech Entrainmentmentioning
confidence: 99%
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“…Recently, in 2016, Lubold [77] has conducted a study with a group of undergraduate students to measure the effect of voice-adaptation and social dialogue by a robotic learning companion on user's perception of robot's social presence. Their results showed that a social voice-adaptive dialogue has a significant effect on social presence as compared to a simple social dialogue.…”
Section: Robot's Voice Adaptationmentioning
confidence: 99%