Robot Eye Perspective in Perceiving Facial Expressions in Interaction with Children with Autism

Agnieszka Landowska , Ben Robins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The paper concerns automatic facial expression analysis applied in a study of natural “in the wild” interaction between children with autism and a social robot. The paper reports a study that analyzed the recordings captured via a camera located in the eye of a robot. Children with autism exhibit a diverse level of deficits, including ones in social interaction and emotional expression. The aim of the study was to explore the possibility of applying automatic emotion recognition in analyzing human-robot interaction. The study revealed some challenges, that might be classified as activity-based, child condition-based and setup-based ones. Despite those, the facial expressions in children with autism were on average more positive than in a control group of typically developing children. Children with autism seemed to enjoy the interaction with the robot more. The paper might be interesting for researchers and practitioners who plan to combine social robots and emotion recognition in children with autism.
Original languageEnglish
Title of host publicationWeb, Artificial Intelligence and Network Applications
Subtitle of host publicationProceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
EditorsLeonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa
PublisherSpringer Nature Link
Pages1287-1297
Number of pages11
ISBN (Electronic)9783030440381
ISBN (Print)9783030440374
DOIs
Publication statusPublished - 31 Mar 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1150 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Fingerprint

Dive into the research topics of 'Robot Eye Perspective in Perceiving Facial Expressions in Interaction with Children with Autism'. Together they form a unique fingerprint.

Cite this