Where and When Should the Teleoperated Avatar Look: Gaze Instruction Dataset for Enhanced Teleoperated Avatar Communication<sup>*</sup>

Effective teleoperated avatar communication requires expressing social behaviors. Gaze behavior is one of the crucial social behaviors and includes reflexive reactions to the avatar’s surroundings and intentional responses to the operator’s speech and actions. Teleoperated avatars must have their gaze behavior controlled according to situational changes in both the avatar’s and operator’s contexts. However, it is not clear how to adjust the avatar’s gaze in response to changes in both situations. In this paper, we collect a dataset of gazing positions that the avatar is instructed to face, taking into account both avatar and operator situations, and annotation labels that represent both situations in detail. We then exploratorily analyze the ratio of gazing positions per situation through dynamic area-of-interest (AOI) analysis. Our analysis provides insights into determining the gaze behavior of teleoperated avatars.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10802049
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
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article

Where and When Should the Teleoperated Avatar Look: Gaze Instruction Dataset for Enhanced Teleoperated Avatar Communication*

Jun Baba, Yuichiro Yoshikawa, Junya Nakanishi, Kenya Hoshimure et al.
Gaze Tracking and Assistive Technology
article

Where and When Should the Teleoperated Avatar Look: Gaze Instruction Dataset for Enhanced Teleoperated Avatar Communication*

Jun Baba, Yuichiro Yoshikawa, Junya Nakanishi, Kenya Hoshimure, Hiroshi Ishiguro
article en

Abstract

Effective teleoperated avatar communication requires expressing social behaviors. Gaze behavior is one of the crucial social behaviors and includes reflexive reactions to the avatar’s surroundings and intentional responses to the operator’s speech and actions. Teleoperated avatars must have their gaze behavior controlled according to situational changes in both the avatar’s and operator’s contexts. However, it is not clear how to adjust the avatar’s gaze in response to changes in both situations. In this paper, we collect a dataset of gazing positions that the avatar is instructed to face, taking into account both avatar and operator situations, and annotation labels that represent both situations in detail. We then exploratorily analyze the ratio of gazing positions per situation through dynamic area-of-interest (AOI) analysis. Our analysis provides insights into determining the gaze behavior of teleoperated avatars.

The University of Osaka (JP)
Openalex Percentile: Top 76%
Gaze Tracking and Assistive Technology
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