LASSOing HRI analyzing situation awareness in map-centric and video-centric interfaces

Good situation awareness (SA) is especially necessary when robots and their operators are not collocated, such as in urban search and rescue (USAR). This paper compares how SA is attained in two systems: one that has an emphasis on video and another that has an emphasis on a three-dimensional map. W...

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Vydáno v:2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI) s. 279 - 286
Hlavní autoři: Drury, Jill L., Keyes, Brenden, Yanco, Holly A.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 10.03.2007
IEEE
Edice:ACM Conferences
Témata:
Abstracts
Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods
Human-centered computing > Human computer interaction (HCI) > Interaction devices > Touch screens
Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Graphical user interfaces
Human-centered computing > Interaction design
Human-Robot Interaction (HRI)
Reliability
Robots
Situation Awareness (SA)
Urban Search and Rescue (USAR)
human-robot interaction (HRI)
situation awareness (SA)
urban search and rescue (USAR)
ISBN:1595936173, 9781595936172
ISSN:2167-2121
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Abstract Good situation awareness (SA) is especially necessary when robots and their operators are not collocated, such as in urban search and rescue (USAR). This paper compares how SA is attained in two systems: one that has an emphasis on video and another that has an emphasis on a three-dimensional map. We performed a within-subjects study with eight USAR domain experts. To analyze the utterances made by the participants, we developed a SA analysis technique, called LASSO, which includes five awareness categories: location, activities, surroundings, status, and overall mission. Using our analysis technique, we show that a map-centric interface is more effective in providing good location and status awareness while a video-centric interface is more effective in providing good surroundings and activities awareness.
AbstractList Good situation awareness (SA) is especially necessary when robots and their operators are not collocated, such as in urban search and rescue (USAR). This paper compares how SA is attained in two systems: one that has an emphasis on video and another that has an emphasis on a three-dimensional map. We performed a within-subjects study with eight USAR domain experts. To analyze the utterances made by the participants, we developed a SA analysis technique, called LASSO, which includes five awareness categories: location, activities, surroundings, status, and overall mission. Using our analysis technique, we show that a map-centric interface is more effective in providing good location and status awareness while a video-centric interface is more effective in providing good surroundings and activities awareness.
Author Yanco, Holly A.
Keyes, Brenden
Drury, Jill L.
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Keywords human-robot interaction (HRI)
situation awareness (SA)
urban search and rescue (USAR)
Language English
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Snippet Good situation awareness (SA) is especially necessary when robots and their operators are not collocated, such as in urban search and rescue (USAR). This paper...
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SubjectTerms Abstracts
Human-centered computing -- Human computer interaction (HCI) -- HCI design and evaluation methods
Human-centered computing -- Human computer interaction (HCI) -- Interaction devices -- Touch screens
Human-centered computing -- Human computer interaction (HCI) -- Interaction paradigms -- Graphical user interfaces
Human-centered computing -- Interaction design
Human-Robot Interaction (HRI)
Reliability
Robots
Situation Awareness (SA)
Urban Search and Rescue (USAR)
Subtitle analyzing situation awareness in map-centric and video-centric interfaces
Title LASSOing HRI
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