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Understanding the Impact of the Reality-Virtuality Continuum on Visual Search Using Fixation-Related Potentials and Eye Tracking Features

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posted on 2024-10-10, 04:49 authored by Francesco Chiossi, Uwe Gruenefeld, Baosheng James Hou, Joshua Newn, Changkun Ou, Rulu Liao, Robin Welsch, Sven Mayer
While Mixed Reality allows the seamless blending of digital content in users' surroundings, it is unclear if its fusion with physical information impacts users' perceptual and cognitive resources differently. While the fusion of digital and physical objects provides numerous opportunities to present additional information, it also introduces undesirable side effects, such as split attention and increased visual complexity. We conducted a visual search study in three manifestations of mixed reality (Augmented Reality, Augmented Virtuality, Virtual Reality) to understand the effects of the environment on visual search behavior. We conducted a multimodal evaluation measuring Fixation-Related Potentials (FRPs), alongside eye tracking to assess search efficiency, attention allocation, and behavioral measures. Our findings indicate distinct patterns in FRPs and eye-tracking data that reflect varying cognitive demands across environments. Specifically, AR environments were associated with increased workload, as indicated by decreased FRP - P3 amplitudes and more scattered eye movement patterns, impairing users' ability to identify target information efficiently. Participants reported AR as the most demanding and distracting environment. These insights inform design implications for MR adaptive systems, emphasizing the need for interfaces that dynamically respond to user cognitive load based on physiological inputs.

History

Journal

Proceedings of the ACM on Human-Computer Interaction

Volume

8

Pagination

1-33

Location

New York, N.Y.

Open access

  • Yes

ISSN

2573-0142

eISSN

2573-0142

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

MHCI

Publisher

Association for Computing Machinery (ACM)

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