DFKI-LT - 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
Effects of Off-Activity Talk in Human-Robot Interaction with Diabetic Children.
2 Ro-Man 2014: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, Pages 649-654, Edinburgh, IEEE, 8/2014
 
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.
 
Files: BibTeX, smalltalkRoman2014.pdf