Assessment of spatial presence model for image-based virtual reality

Muhaiyuddin, Nadia Diyana Mohd

doi:10.1063/1.5121099

Cited by 1 publication

(2 citation statements)

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“…The model contains two-level process and claimed to be appropriate for inducing spatial presence in any kind of media. In line with that, Nadia [26] enhanced the model by Wirth et al, [14] and proposed a spatial presence model that is specifically tailored for IBVR. Nadia's model only focuses on the media factors that can induce spatial presence, excluding the human factors as in the Wirth's model.…”

Section: Spatial Presence Theoriesmentioning

confidence: 67%

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A Proposed Hybridized Model for Image-Based Virtual Reality in Technology-Driven Self-Therapy

Zaiyadi

Mutalib²,

Muhaiyuddin³

2023

ARASET

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Stress is one of the issues in mental health among the societies. Self-therapy has been an alternative to provide relaxation and to reduce stress that includes the use of guided imagery therapy (GIT). It could also take advantages of technologies that support the sense of presence. In this technology-driven era, Spatial Presence Model (SPM) has been applied in existing studies to develop virtual reality (VR) tools, while Guided Imagery Therapy (GIT) has been used as a treatment tool for potential psychological problems. Currently, no study has utilized both SPM and GIT in supporting the practice of self-therapy to reduce stress. Hence, this study aims to propose a hybridized model for Image-based VR (IBVR) that incorporates SPM and GIT for the purpose of technology-driven self-therapy. The Design science research methodology (DSRM) is used as the basis for conducting the study. The proposed model is expected to benefit the application designers as a reference in developing IBVR tools for self-therapy.

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Section: Spatial Presence Theoriesmentioning

confidence: 67%

“…These models have been selected through content analysis. Based on the analysis, the spatial presence model for IBVR (SPM4IBVR) by Nadia [26] is selected as the basis as it is specifically constructed for creating spatial presence in IBVR. This study adapted SPM4IBVR by taking into consideration all the components and elements in the model.…”

Section: Resultsmentioning

confidence: 99%