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      Exploring the Effects of a Social Robot's Speech Entrainment and Backstory on Young Children's Emotion, Rapport, Relationship, and Learning

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          Abstract

          In positive human-human relationships, people frequently mirror or mimic each other's behavior. This mimicry, also called entrainment, is associated with rapport and smoother social interaction. Because rapport in learning scenarios has been shown to lead to improved learning outcomes, we examined whether enabling a social robotic learning companion to perform rapport-building behaviors could improve children's learning and engagement during a storytelling activity. We enabled the social robot to perform two specific rapport and relationship-building behaviors: speech entrainment and self-disclosure (shared personal information in the form of a backstory about the robot's poor speech and hearing abilities). We recruited 86 children aged 3–8 years to interact with the robot in a 2 × 2 between-subjects experimental study testing the effects of robot entrainment Entrainment vs. No entrainment and backstory about abilities Backstory vs. No Backstory. The robot engaged the children one-on-one in conversation, told a story embedded with key vocabulary words, and asked children to retell the story. We measured children's recall of the key words and their emotions during the interaction, examined their story retellings, and asked children questions about their relationship with the robot. We found that the robot's entrainment led children to show more positive emotions and fewer negative emotions. Children who heard the robot's backstory were more likely to accept the robot's poor hearing abilities. Entrainment paired with backstory led children to use more of the key words and match more of the robot's phrases in their story retells. Furthermore, these children were more likely to consider the robot more human-like and were more likely to comply with one of the robot's requests. These results suggest that the robot's speech entrainment and backstory increased children's engagement and enjoyment in the interaction, improved their perception of the relationship, and contributed to children's success at retelling the story.

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          The relationships among teacher immediacy behaviors, student motivation, and learning

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            Social robots for education: A review

            Social robots can be used in education as tutors or peer learners. They have been shown to be effective at increasing cognitive and affective outcomes and have achieved outcomes similar to those of human tutoring on restricted tasks. This is largely because of their physical presence, which traditional learning technologies lack. We review the potential of social robots in education, discuss the technical challenges, and consider how the robot’s appearance and behavior affect learning outcomes.
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              Synchrony and cooperation.

              Armies, churches, organizations, and communities often engage in activities-for example, marching, singing, and dancing-that lead group members to act in synchrony with each other. Anthropologists and sociologists have speculated that rituals involving synchronous activity may produce positive emotions that weaken the psychological boundaries between the self and the group. This article explores whether synchronous activity may serve as a partial solution to the free-rider problem facing groups that need to motivate their members to contribute toward the collective good. Across three experiments, people acting in synchrony with others cooperated more in subsequent group economic exercises, even in situations requiring personal sacrifice. Our results also showed that positive emotions need not be generated for synchrony to foster cooperation. In total, the results suggest that acting in synchrony with others can increase cooperation by strengthening social attachment among group members.
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                Author and article information

                Contributors
                Journal
                Front Robot AI
                Front Robot AI
                Front. Robot. AI
                Frontiers in Robotics and AI
                Frontiers Media S.A.
                2296-9144
                09 July 2019
                2019
                : 6
                : 54
                Affiliations
                MIT Media Lab, Massachusetts Institute of Technology , Cambridge, MA, United States
                Author notes

                Edited by: Cigdem Beyan, Istituto Italiano di Tecnologia, Italy

                Reviewed by: Vicky Charisi, Joint Research Centre, European Commission, Belgium; Sofia Serholt, University of Gothenburg, Sweden; Takamasa Iio, University of Tsukuba, Japan

                *Correspondence: Jacqueline M. Kory-Westlund jakory@ 123456alum.mit.edu

                This article was submitted to Human-Robot Interaction, a section of the journal Frontiers in Robotics and AI

                Article
                10.3389/frobt.2019.00054
                7806080
                8d49597b-0145-4e68-b955-a31a12b49efc
                Copyright © 2019 Kory-Westlund and Breazeal.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 January 2019
                : 24 June 2019
                Page count
                Figures: 13, Tables: 2, Equations: 0, References: 122, Pages: 24, Words: 18872
                Categories
                Robotics and AI
                Original Research

                children,entrainment,language development,peer modeling,rapport,relationship,robotics,storytelling

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