Using the AffectButton to measure affect in child and adult-robot interaction

Authors:
Robin Read;Tony Belpaeme
Affiliations:
Plymouth University, Plymouth, United Kingdom;Plymouth University, Plymouth, United Kingdom
Venue:
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
Year:
2013

Citing 3
Cited 0

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AffectButton: A method for reliable and valid affective self-report

International Journal of Human-Computer Studies

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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.