Non-facial/non-verbal methods of affective expression as applied to robot-assisted victim assessment

  • Authors:
  • Cindy L. Bethel;Robin R. Murphy

  • Affiliations:
  • University of South Florida, Tampa, FL;University of South Florida, Tampa, FL

  • Venue:
  • Proceedings of the ACM/IEEE international conference on Human-robot interaction
  • Year:
  • 2007

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Abstract

This work applies a previously developed set of heuristics for determining when to use non-facial/non-verbal methods of affective expression to the domain of a robot being used for victim assessment in the aftermath of a disaster. Robot-assisted victim assessment places a robot approximately three meters or less from a victim, and the path of the robot traverses three proximity zones (intimate (contact -- 0.46m), personal (0.46 -- 1.22 m), and social (1.22 -- 3.66 m)). Robot- and victim-eye views of an Inuktun robot were collected as it followed a path around the victim. The path was derived from observations of a prior robot-assisted medical reachback study. The victim's-eye views of the robot from seven points of interest on the path illustrate the appropriateness of each of the five primary non-facial/non-verbal methods of affective expression: (body movement, posture, orientation, illuminated color, and sound), offering support for the heuristics as a design aid. In addition to supporting the heuristics, the investigation identified three open research questions on acceptable motions and impact of the surroundings on robot affect.