LASSOing HRI: Analyzing Situation Awareness
in Map-Centric and Video-Centric Interfaces
November 2006
Jill L. Drury, The MITRE Corporation
Brenden Keyes, University of Massachusetts Lowell, Computer Science Department
Holly A. Yanco, University of Massachusetts Lowell, Computer Science Department
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.
Additional Search Keywords
Situation Awareness, Human-Robot Interaction, Urban Search and Rescue
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