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Effects of off-activity talk in human-robot interaction with diabetic children

Ivana Kruijff‐Korbayová, Elettra Oleari, Ilaria Baroni, Bernd Kiefer, Mattia Coti Zelati, Clara Pozzi, Alberto Sanna

发表年份
2014
引用次数
23

摘要

This paper presents the results from an experiment with a conversational human-robot interaction system aimed at long-term support for diabetic children. The system offers a set of activities aimed to help a child to improve its capability to manage diabetes. There is a large body of literature on the techniques that artificial agents can use to establish and maintain long-term social-emotional relationships with their users. The novel aspect in the present study is the inclusion of off-activity talk interspersed within talk pertaining the activity at hand and aimed to elicit the child's self-disclosure. The children in our study (N=20, age 11-14) were more interested to have another session with the robot when their interaction included also off-activity talk, even though there was no difference in the perception of the robot by the children between the groups with and without off-activity talk. Furthermore, individual interactions with the robot positively influenced the children's adherence to a therapy-related requirement, namely the filling in of a nutritional diary.

关键词

RobotSet (abstract data type)Human–robot interactionSession (web analytics)PerceptionHuman–computer interactionSocial relationComputer sciencePsychologyDevelopmental psychology

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