Using Visual Attention to Evaluate Collaborative Control Architectures for Human Robot Interaction

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Title: Using Visual Attention to Evaluate Collaborative Control Architectures for Human Robot Interaction
Authors: Carlson, T
Demiris, Y
Item Type: Conference Paper
Abstract: Collaborative control architectures assist human users in performing tasks, without undermining their capabilities or curtailing the natural development of their skills. In this study, we evaluate our collaborative control architecture by investigating the visual attention patterns of robotic wheelchair users. Our initial hypothesis stated that the user would require less visual attention for driving, whilst they are being assisted by the collaborative system, thus allowing them to concentrate on higher level cognitive tasks, such as planning. However, our analysis of eye gaze patterns—as recorded by a head mounted eye tracking system—supports the opposite conclusion: that patterns of saccadic activation increase and become more chaotic under the assisted mode. Our findings highlight the necessity for techniques that assist the user in forming an appropriate mental model of the collaborative control architecture.
Editors: Dautenhahn, K
Issue Date: 9-Apr-2009
URI: http://hdl.handle.net/10044/1/20093
Journal / Book Title: http://www.aisb.org.uk/publications/proceedings/aisb2009.zip
Copyright Statement: © 2009 The Authors
Conference Name: AISB'09: New Frontiers in Human-Robot Interaction
Publication Status: Published
Start Date: 2009-04-06
Finish Date: 2009-04-09
Conference Place: Edinburgh, Scotland
Appears in Collections:Electrical and Electronic Engineering



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