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


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.

DOI: 10.1109/ROMAN.2014.6926326

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@inproceedings{KruijffKorbayov2014EffectsOO, title={Effects of off-activity talk in human-robot interaction with diabetic children}, author={Ivana Kruijff-Korbayov{\'a} and Elettra Oleari and Ilaria Baroni and Bernd Kiefer and Mattia Coti Zelati and Clara Pozzi and Alberto Sanna}, booktitle={RO-MAN}, year={2014} }