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Gaze aversion in conversational settings: An investigation based on mock job interview
Cengiz Acarturk1, Bipin Indurkya2, Piotr Nawrocki3
1Department of Cognitive Science, Middle East Technical University, Turkey.
Journal of Eye Movement Research
|June 14, 2021
Summary
In human conversations, interviewers maintain more frequent and longer eye contact than interviewees. Interviewers avert gaze diagonally, while interviewees look sideways, impacting human-robot interaction research.
Area of Science:
- Human-Computer Interaction
- Social Psychology
- Robotics
Background:
- Understanding gaze behavior is crucial for natural human-robot interaction.
- Previous studies faced methodological challenges in tracking gaze during conversations.
Purpose of the Study:
- To empirically investigate gaze aversion patterns in dyadic human-to-human interviews.
- To model gaze sequences using Discrete-Time Markov Chains.
- To inform the design of more intuitive human-robot interaction systems.
Main Methods:
- Conducted two interview experiments, tracking either the interviewer's or interviewee's gaze.
- Utilized eye-tracking technology for precise gaze data collection.
- Analyzed gaze sequences using Discrete-Time Markov Chains.
Main Results:
- Interviewers engaged in more frequent and prolonged gaze contacts than interviewees.
- Interviewers predominantly exhibited diagonal gaze aversions.
- Interviewees primarily displayed sideways (left or right) gaze aversions.
Conclusions:
- Gaze aversion patterns differ significantly between interviewers and interviewees.
- These findings offer valuable insights for developing socially intelligent robots.
- Further research is needed to explore the implications for human-robot interaction.
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