Comfort with Robots Influences Rapport with a Social, Entraining Teachable Robot
Comfort with Robots Influences Rapport with a Social, Entraining Teachable Robot
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对机器人的舒适度会影响与社交、可教导的机器人的融洽关系
DOI:
10.1007/978-3-030-23204-7
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Ogan, Amy
中科院分区:
文献类型:
--
作者:
Lubold, Nichola;Walker, Erin;Pon-Barry, Heather;Ogan, Amy
Teachable agents are pedagogical agents that employ the ‘learning-by-teaching’ strategy, which facilitates learning by encouraging students to construct explanations, reflect on misconceptions, and elaborate on what they know. Teachable agents present unique opportunities to maximize the benefits of a ‘learning-by-teaching’ experience. For example, teachable agents can provide socio-emotional support to learners, influencing learner self-efficacy and motivation, and increasing learning. Prior work has found that a teachable agent which engages learners socially through social dialogue and paraverbal adaptation on pitch can have positive effects on rapport and learning. In this work, we introduce Emma, a teachable robotic agent that can speak socially and adapt on both pitch and loudness. Based on the phenomenon of entrainment, multi-feature adaptation on tone and loudness has been found in human-human interactions to be highly correlated to learning and social engagement. In a study with 48 middle school participants, we performed a novel exploration of how multi-feature adaptation can influence learner rapport and learning as an independent social behavior and combined with social dialogue. We found significantly more rapport for Emma when the robot both adapted and spoke socially than when Emma only adapted and indications of a similar trend for learning. Additionally, it appears that an individual’s initial comfort level with robots may influence how they respond to such behavior, suggesting that for individuals who are more comfortable interacting with robots, social behavior may have a more positive influence.
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影响因子:
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作者:
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通讯作者:
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发表时间:
2016
期刊:
2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)
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发表时间:
2016
期刊:
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影响因子:
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