Driving Assistance by Deictic Control for a Smart Wheelchair: The Assessment Issue

In this paper, an assessment of a driving assistance by a deictic command for a smart wheelchair is proposed. This equipment enables the user to move with a series of indications on an interface displaying a view of the environment and bringing about automatic movement of the wheelchair. Two sets of...

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Published in:IEEE transactions on human-machine systems Vol. 44; no. 1; pp. 66 - 77
Main Authors: Leishman, Frederic, Monfort, Vincent, Horn, Odile, Bourhis, Guy
Format: Journal Article
Language:English
Published: New York, NY IEEE 01-02-2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract In this paper, an assessment of a driving assistance by a deictic command for a smart wheelchair is proposed. This equipment enables the user to move with a series of indications on an interface displaying a view of the environment and bringing about automatic movement of the wheelchair. Two sets of tests were implemented to assess the advantages of this type of assistance compared with conventional wheelchair control. The first set evaluated the performance of the human-machine system that is based on a course time analysis, an observation of users' actions, and an estimation of driving comfort. The second test was implemented to assess the cognitive requirements of the driving task, specifically the attentional and executive processes required when driving in assisted mode. A dual-task method was used to achieve this. The results show that driving assistance brings about a decrease in physical load for the same level of comfort as manual driving, but requires an additional cognitive effort for the user, especially in terms of executive abilities.
AbstractList In this paper, an assessment of a driving assistance by a deictic command for a smart wheelchair is proposed. This equipment enables the user to move with a series of indications on an interface displaying a view of the environment and bringing about automatic movement of the wheelchair. Two sets of tests were implemented to assess the advantages of this type of assistance compared with conventional wheelchair control. The first set evaluated the performance of the human-machine system that is based on a course time analysis, an observation of users' actions, and an estimation of driving comfort. The second test was implemented to assess the cognitive requirements of the driving task, specifically the attentional and executive processes required when driving in assisted mode. A dual-task method was used to achieve this. The results show that driving assistance brings about a decrease in physical load for the same level of comfort as manual driving, but requires an additional cognitive effort for the user, especially in terms of executive abilities.
Author Leishman, Frederic
Monfort, Vincent
Horn, Odile
Bourhis, Guy
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Issue 1
Keywords Man machine system
Deictic
Vehicle driving
Wheel chair
human―machine system assessment
Cognition
Context aware
Cognitive theory
Comfort
smart wheelchair
User assistance
Time analysis
Intelligent system
Language English
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Snippet In this paper, an assessment of a driving assistance by a deictic command for a smart wheelchair is proposed. This equipment enables the user to move with a...
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SubjectTerms Applied sciences
Assessments
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Deictic
Engineering Sciences
Exact sciences and technology
human-machine system assessment
Indexes
Manuals
smart wheelchair
Software
Time measurement
Trajectory
Wheelchairs
Title Driving Assistance by Deictic Control for a Smart Wheelchair: The Assessment Issue
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