An experimental investigation of gaze behavior modeling in virtual reality

2022-11
Esmer, Elif
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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The purpose of this study is to investigate if gaze behavior modeling on a robot avatar makes any difference in the engagement of human interlocutors. To that end, visual interaction patterns and impressions of participants during a one-on-one active conversation setting in the form of a mock-up job interview with an avatar agent have been analyzed. Experiments were conducted through eye-tracking methodology, questionnaires, and open-ended post-experimental evaluations. A robot avatar as an artificial agent programmed with pre-recorded speech and pre-planned gaze behavior, based on human gaze patterns, took the role of the human resource manager, in other words, the interviewer. The eye-tracking data of the participants, namely interviewees, were collected and analyzed to investigate whether the human-like gaze behavior of the artificial agent had any effect on the gaze allocation of the human interlocutors. Results of the questionnaires and the TF-IDF analysis of the post-experimental evaluations were inspected to detect reflections of participants’ gaze behavior and further patterns for the perception of the avatar.
Human-robot interaction, Multimodal interaction, Eye-tracking, Virtual reality, TF-IDF
https://hdl.handle.net/11511/101246
Graduate School of Informatics, Thesis

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Citation Formats
E. Esmer, “An experimental investigation of gaze behavior modeling in virtual reality,” M.S. - Master of Science, Middle East Technical University, 2022.
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