Title :
Using the AffectButton to measure affect in child and adult-robot interaction
Author :
Read, R. ; Belpaeme, Tony
Author_Institution :
Centre for Robot. & Neural Syst., Plymouth Univ., Plymouth, UK
Abstract :
This report presents data which shows how the AffectButton, a visual tool to report affect, can be used reliably by both adults and children (6-7 y.). Users were asked to identify affective labels, such as scared or surprised, on the AffectButton. We report a high inter-rater reliability between adults, between children and between adults and children. Children have the same high performance when using the AffectButton as adults, making the AffectButton a intuitive and reliable tool for letting a wide range of ages report affect.
Keywords :
human-robot interaction; AffectButton; adult-robot interaction; affective labels; child-robot interaction; interrater reliability; visual tool; Educational institutions; Electronic mail; Reliability; Robot kinematics; Robot sensing systems; Standards; Adult-Robot Interaction; Affective Measurement; Child-Robot Interaction; Facial Expressions;
Conference_Titel :
Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-3099-2
Electronic_ISBN :
2167-2121
DOI :
10.1109/HRI.2013.6483576