Abstract | ||
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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. |
Year | DOI | Venue |
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2015 | 10.5220/0005561003620368 | ICINCO |
Keywords | Field | DocType |
Human-in-the-Loop, Usability, Teleoperation, Active Vision, Assistive Technology, Cyber-physical Systems | Co-adaptation,Active vision,Motor skill,Control engineering,Cyber-physical system,Human–computer interaction,Artificial intelligence,Human-in-the-loop,Cognition,Teleoperation,Computer vision,Usability,Engineering | Conference |
Volume | Citations | PageRank |
02 | 4 | 0.53 |
References | Authors | |
12 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Paolo Gallina | 1 | 112 | 14.27 |
Nicola Bellotto | 2 | 283 | 26.69 |
Massimiliano Luca | 3 | 77 | 9.90 |