Perceptions of affective expression in a minimalist robotic face

Authors:
Casey C. Bennett;Selma Šabanović
Affiliations:
Indiana University, Bloomington, IN, USA;Indiana University, Bloomington, IN, USA
Venue:
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
Year:
2013

Citing 2
Cited 0

Emotion and sociable humanoid robots

International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
I show you how I like you - can you read it in my face? [robotics]

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

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Abstract

This study explores deriving minimal features for a robotic face to convey information (via facial expressions) that people can perceive/understand. Recent research in computer vision has shown that a small number of moving points/lines can be used to capture the majority of information (~95%) in human facial expressions. Here, we apply such findings to a minimalist robot face; recognition rates were similar to more complex robots. The project aims to answer a number of fundamental questions about robotic face design, as well as to develop inexpensive/replicable robotic faces for experimental purposes.