Authors:
Paolo Gallina
1
;
Nicola Bellotto
2
and
Massimiliano Di Luca
3
Affiliations:
1
University of Trieste, Italy
;
2
University of Lincoln, United Kingdom
;
3
University of Birmingham, United Kingdom
Keyword(s):
Human-in-the-Loop, Usability, Teleoperation, Active Vision, Assistive Technology, Cyber-Physical Systems
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Cognitive Robotics
;
Human-Machine Interfaces
;
Human-Robots Interfaces
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Vision, Recognition and Reconstruction
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 appl
ications, robotic telemanipulation and active vision for the visually impaired.
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