DocumentCode
27562
Title
Driving Assistance by Deictic Control for a Smart Wheelchair: The Assessment Issue
Author
Leishman, Frederic ; Monfort, Vincent ; Horn, Odile ; Bourhis, Guy
Author_Institution
Lab. of Design, Optimization, & Syst. Modeling (LCOMS), Univ. of Lorraine, Metz, France
Volume
44
Issue
1
fYear
2014
fDate
Feb. 2014
Firstpage
66
Lastpage
77
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.
Keywords
cognition; handicapped aids; intelligent control; man-machine systems; motion control; wheelchairs; attentional processes; cognitive effort; cognitive requirements; comfort level; course time analysis; deictic command; deictic control; driving assistance assessment; driving comfort estimation; driving task; dual-task method; executive processes; human-machine system; interface; manual driving; physical load; smart wheelchair; users actions observation; wheelchair automatic movement; wheelchair control; Indexes; Manuals; Standards; Time measurement; Trajectory; Wheelchairs; Deictic; human–machine system assessment; smart wheelchair;
fLanguage
English
Journal_Title
Human-Machine Systems, IEEE Transactions on
Publisher
ieee
ISSN
2168-2291
Type
jour
DOI
10.1109/TSMC.2013.2287792
Filename
6684577
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