DocumentCode :
2560575
Title :
Human-Robot Interaction in Autism: FACE, an Android-based Social Therapy
Author :
Pioggia, G. ; Sica, M.L. ; Ferro, Marcello ; Igliozzi, R. ; Muratori, F. ; Ahluwalia, A. ; Rossi, D. De
Author_Institution :
Univ. of Pisa, Pisa
fYear :
2007
fDate :
26-29 Aug. 2007
Firstpage :
605
Lastpage :
612
Abstract :
In human-machine social interaction, the intersection between biology and engineering needs a context which allows for the development of adapting dynamics. The android FACE is able to interact with the external environment, interpreting and conveying emotions through non verbal communication. FACE captures expressive and psychophysical correlates from its interlocutor and actuates behaviours following two communicative modalities of semeiology. FACE interacts with kinesics, non verbal communication conveyed by body part movements, or facial expressions, and so on, taking into account the proxemic space. FACE´S goal is define and test a therapeutic protocol for autism in order to enhance social and emotive abilities in people with autism. Data regarding our latest clinical study are reported. The clinical study was aimed at verifying FACE´S capabilities in enhancing imitative skills and shared attention in subjects with autism. In particular, we monitored their attention towards FACE and then we checked if the android remains a restricted and repetitive interest or an object to share with the therapist. The study involved an experimental group, composed of 4 children with autism. The participants were diagnosed using ADI-R and ADOS-G, two specific diagnostic instruments. The experimental set up consisted of a specially equipped room provided with two remotely orientable cameras in which the subject, under the supervision of a therapist, can interact with FACE. During twenty minutes sessions, we observed both spontaneous behavior of the participants and their reactions to therapists presses in correlation with the time course of the physiological and behavioural data. The participants showed a spontaneous ability of imitation of the head and facial movements of the android. Moreover we observed that the children with autism focused their attention towards FACE´S eye movements following verbal suggestions from the therapist.
Keywords :
cognition; diseases; emotion recognition; face recognition; man-machine systems; medical robotics; neurophysiology; patient diagnosis; user interfaces; ADI-R diagnostic instrument; ADOS-G diagnostic instrument; FACE android-based social therapy; cognitive disorder; human-robot social interaction; neuro-behavioral disorder; nonverbal communication; therapeutic protocol; Autism; Biology; Context; Face; Man machine systems; Medical treatment; Monitoring; Protocols; Psychology; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robot and Human interactive Communication, 2007. RO-MAN 2007. The 16th IEEE International Symposium on
Conference_Location :
Jeju
Print_ISBN :
978-1-4244-1634-9
Electronic_ISBN :
978-1-4244-1635-6
Type :
conf
DOI :
10.1109/ROMAN.2007.4415156
Filename :
4415156
Link To Document :
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