Conducting neuropsychological tests with a humanoid robot: design and evaluation

Duc Canh Nguyen 1 Gérard Bailly 1 Frédéric Elisei 2, 1
GIPSA-DPC - Département Parole et Cognition
2 GIPSA-Services - GIPSA-Services
GIPSA-lab - Grenoble Images Parole Signal Automatique
Abstract : — Socially assistive robot with interactive behavioral capability have been improving quality of life for a wide range of users by taking care of elderlies, training individuals with cognitive disabilities or physical rehabilitation, etc. While the interactive behavioral policies of most systems are scripted, we discuss here key features of a new methodology that enables professional caregivers to teach a socially assistive robot (SAR) how to perform the assistive tasks while giving proper instructions, demonstrations and feedbacks. We describe here how socio-communicative gesture controllers – which actually control the speech, the facial displays and hand gestures of our iCub robot – are driven by multimodal events captured on a professional human demonstrator performing a neuropsychological interview. Furthermore, we propose an original online evaluation method for rating the multimodal interactive behaviors of the SAR and show how such a method can help designers to identify the faulty events.
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Submitted on : Friday, October 21, 2016 - 5:55:55 PM
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Duc Canh Nguyen, Gérard Bailly, Frédéric Elisei. Conducting neuropsychological tests with a humanoid robot: design and evaluation. IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Oct 2016, Wroclaw, Poland. pp.337-342. ⟨hal-01385666⟩



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