Through the Expert's Eyes: Exploring Asynchronous Expert Perspectives and Gaze Visualizations in XR

Fuente: arXiv
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Autores principales: Sayffaerth, Clara, Köhler, Annika, Rasch, Julian, Schmidt, Albrecht, Müller, Florian
Formato: Preprint
Publicado: 2025
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author Sayffaerth, Clara
Köhler, Annika
Rasch, Julian
Schmidt, Albrecht
Müller, Florian
author_facet Sayffaerth, Clara
Köhler, Annika
Rasch, Julian
Schmidt, Albrecht
Müller, Florian
contents Transferring knowledge across generations is fundamental to human civilization, yet the challenge of passing on complex practical skills persists. Methods without a physically present instructor, such as videos, often fail to explain complex manual tasks, where spatial and social factors are critical. Technologies such as eXtended Reality and Artificial Intelligence hold the potential to retain expert knowledge and facilitate the creation of tailored, contextualized, and asynchronous explanations regardless of time and place. In contrast to videos, the learner's perspective can be different from the recorded perspective in XR. This paper investigates the impact of asynchronous first- and third-person perspectives and gaze visualizations on efficiency, feeling of embodiment, and connectedness during manual tasks. The empirical results of our study (N=36) show that the first-person perspective is better in quantitative measures and preferred by users. We identify best practices for presenting preserved knowledge and provide guidelines for designing future systems.
format Preprint
id arxiv_https___arxiv_org_abs_2509_00944
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Through the Expert's Eyes: Exploring Asynchronous Expert Perspectives and Gaze Visualizations in XR
Sayffaerth, Clara
Köhler, Annika
Rasch, Julian
Schmidt, Albrecht
Müller, Florian
Human-Computer Interaction
Transferring knowledge across generations is fundamental to human civilization, yet the challenge of passing on complex practical skills persists. Methods without a physically present instructor, such as videos, often fail to explain complex manual tasks, where spatial and social factors are critical. Technologies such as eXtended Reality and Artificial Intelligence hold the potential to retain expert knowledge and facilitate the creation of tailored, contextualized, and asynchronous explanations regardless of time and place. In contrast to videos, the learner's perspective can be different from the recorded perspective in XR. This paper investigates the impact of asynchronous first- and third-person perspectives and gaze visualizations on efficiency, feeling of embodiment, and connectedness during manual tasks. The empirical results of our study (N=36) show that the first-person perspective is better in quantitative measures and preferred by users. We identify best practices for presenting preserved knowledge and provide guidelines for designing future systems.
title Through the Expert's Eyes: Exploring Asynchronous Expert Perspectives and Gaze Visualizations in XR
topic Human-Computer Interaction
url https://arxiv.org/abs/2509.00944