Abstract | ||
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This paper outlines a demonstration of the work carried out in the SoCoRo project investigating how far a neuro-typical population recognises facial expressions on a non-naturalistic robot face that are designed to show approval and disapproval. RFID-tagged objects are presented to an Emys robot head (called Alyx) and Alyx reacts to each with a facial expression. Participants are asked to put the object in a box marked 'Like' or 'Dislike'. This study is being extended to include assessment of participants' Autism Quotient using a validated questionnaire as a step towards using a robot to help train high-functioning adults with an Autism Spectrum Disorder in social signal recognition.
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Year | Venue | Field |
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2017 | ICMI | Autism,Population,Computer vision,Social robot,Robot control,Computer science,Human–computer interaction,Facial expression,Artificial intelligence,Autism spectrum disorder,Robot,Human–robot interaction |
DocType | ISBN | Citations |
Conference | 978-1-4503-5543-8 | 0 |
PageRank | References | Authors |
0.34 | 1 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ruth Aylett | 1 | 0 | 1.69 |
Frank Broz | 2 | 0 | 0.68 |
Ayan Ghosh | 3 | 3 | 1.00 |
Peter McKenna | 4 | 3 | 2.35 |
Gnanathusharan Rajendran | 5 | 84 | 13.00 |
Mary Ellen Foster | 6 | 364 | 36.47 |
Roffo Giorgio | 7 | 207 | 9.91 |
A. Vinciarelli | 8 | 29 | 4.92 |