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Using Human Eye Gaze Patterns as Indicators of Need for Assistance from a Socially Assistive Robot

  • Ulyana KuryloEmail author
  • Jason R. Wilson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11876)

Abstract

With current growth in social robotics comes a need for well developed and fine tuned agents which respond to the user in a seamless and intuitive manner. Socially assistive robots in particular have become popular for their uses in care for older adults for medication adherence and socializing. Since eye gaze cues are important mediators in human-human interactions, we hypothesize that gaze patterns can be applied to human-robot interactions to identify when the user may need assistance. We reviewed videos (N = 16) of robot supported collaborative work to explore how recognition of gaze patterns for an assistive robot in the context of a medication management task can help predict when a user needs assistance. We found that mutual gaze is a better predictor than confirmatory request, gaze away, and goal reference. While eye gaze serves as an important indicator for need for assistance, it should be combined with other indicators, such as verbal cues or facial expressions to sufficiently represent assistance needed in the interaction and provide timely assistance.

Keywords

Gaze detection Gaze patterns Assistive agents 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Northwestern UniversityEvanstonUSA

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