NDLI: Progressive co-adaptation in human-machine interaction

Content Provider	IEEE Xplore Digital Library
Author	Gallina, P. Bellotto, N. Di Luca, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Archit. & Eng., Univ. of Trieste, Trieste, Italy (Gallina, P.) \|\| Centre for Comput. Neurosci. & Cognitive Robot. & Sch. of Psychol., Univ. of Birmingham, Birmingham, UK (Di Luca, M.) \|\| Lincoln Centre for Autonomous Syst., Univ. of Lincoln, Lincoln, UK (Bellotto, N.)
Abstract	In this paper we discuss the concept of co-adaptation between a human operator and a machine interface and we summarize its application with emphasis on two different domains, teleoperation and assistive technology. The analysis of the literature reveals that only in a few cases the possibility of a temporal evolution of the co-adaptation parameters has been considered. In particular, it has been overlooked the role of time-related indexes that capture changes in motor and cognitive abilities of the human operator. We argue that for a more effective long-term co-adaptation process, the interface should be able to predict and adjust its parameters according to the evolution of human skills and performance. We thus propose a novel approach termed progressive co-adaptation, whereby human performance is continuously monitored and the system makes inferences about changes in the users' cognitive and motor skills. We illustrate the features of progressive co-adaptation in two possible applications, robotic telemanipulation and active vision for the visually impaired.
Sponsorship	INSTICC
Starting Page	362
Ending Page	368
File Size	362871
Page Count	7
File Format	PDF
ISBN	9789897581496
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-21
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	SCITEPRESS
Subject Keyword	Training Human-in-the-Loop Uncertainty Assistive Technology Teleoperation Mice Man machine systems Usability Active Vision Robots Monitoring Cyber-physical Systems
Content Type	Text
Resource Type	Article

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