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Main Authors: Jena, Ayesha, Reitmann, Stefan, Topp, Elin Anna
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2508.07244
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author Jena, Ayesha
Reitmann, Stefan
Topp, Elin Anna
author_facet Jena, Ayesha
Reitmann, Stefan
Topp, Elin Anna
contents We present a user study analyzing head-gaze-based robot control and foveated visual augmentation in a simulated search-and-rescue task. Results show that foveated augmentation significantly improves task performance, reduces cognitive load by 38%, and shortens task time by over 60%. Head-gaze patterns analysed over both the entire task duration and shorter time segments show that near and far attention capture is essential to better understand user intention in critical scenarios. Our findings highlight the potential of foveation as an augmentation technique and the need to further study gaze measures to leverage them during critical tasks.
format Preprint
id arxiv_https___arxiv_org_abs_2508_07244
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Impact of Gaze-Based Interaction and Augmentation on Human-Robot Collaboration in Critical Tasks
Jena, Ayesha
Reitmann, Stefan
Topp, Elin Anna
Robotics
We present a user study analyzing head-gaze-based robot control and foveated visual augmentation in a simulated search-and-rescue task. Results show that foveated augmentation significantly improves task performance, reduces cognitive load by 38%, and shortens task time by over 60%. Head-gaze patterns analysed over both the entire task duration and shorter time segments show that near and far attention capture is essential to better understand user intention in critical scenarios. Our findings highlight the potential of foveation as an augmentation technique and the need to further study gaze measures to leverage them during critical tasks.
title Impact of Gaze-Based Interaction and Augmentation on Human-Robot Collaboration in Critical Tasks
topic Robotics
url https://arxiv.org/abs/2508.07244