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Cited by 317

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Visual Realism Enhances Realistic Response in an Immersive Virtual Environment

Open access
Slater, Mel, Khanna, Pankaj, Mortensen, Jesper, Yu, Insu·2009·IEEE Computer Graphics and Applications

Abstract

Does greater visual realism induce greater participant presence in immersive virtual environments (VE)? Presence refers to how realistically participants respond to the environment as well as their subjective sense of being in the place depicted by the VE. Thirty-three people were exposed for three minutes to a virtual environment depicting a precipice using a head-tracked head-mounted display system. Seventeen of them saw the environment rendered with real-time recursive ray tracing (RT) that included shadows and reflections of their virtual body, and the remainder experienced the same environment rendered with ray casting (RC), which did not include shadows and reflections. Participants completed a presence questionnaire immediately after their experience, and physiological responses (skin conductance and electrocardiogram) were recorded throughout. Results show that subjective presence was higher for the RT environment than for the RC one and that higher stress was induced in the RT environment compared to the RC one.

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Metadata

Authors
Slater, M., Khanna, P., Mortensen, J., & Yu, I.
Venue
IEEE Computer Graphics and Applications
Published
2009-05
Volume
29
Issue
3
Pages
76-84
ISSN
0272-1716 (ISSN-L)
OpenAlex
W4250305574
Cited by
317
References
11
FWCI
18.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Visual Realism Enhances Realistic Response in an Immersive Virtual Environment. https://app.cochat.ai/papers/10.1109/mcg.2009.55
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Slater, M., Khanna, P., Mortensen, J., & Yu, I. (2009). Visual Realism Enhances Realistic Response in an Immersive Virtual Environment. IEEE Computer Graphics and Applications. https://doi.org/10.1109/mcg.2009.55

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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