2022
DOI: 10.1007/s10055-022-00719-2
|View full text |Cite|
|
Sign up to set email alerts
|

Using interpretative phenomenological analysis to gain a qualitative understanding of presence in virtual reality

Abstract: Quantitative methods have thus far been the predominant methodological stance of virtual presence research, leaving much to be desired in terms of qualitative understanding. Yet, virtual experiences are a highly personal engagement, unique to each individual, and their presence in virtual reality can be viewed in terms of its experiential individuality. This aspect of the virtual experience is overlooked by conventional quantitative methods, which clusters ratings or scores to form group deductions. Therefore,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 11 publications
(1 citation statement)
references
References 43 publications
0
1
0
Order By: Relevance
“…The immersive nature of VR, characterized by virtual representations, makes traditional verification methods inadequate. The challenges include the lack of a true baseline, potential distortions introduced during real-time VR rendering, and the subjective nature of visual assessment [32], [33]. To overcome these challenges, recent research papers commonly employ alternative methods such as expert evaluation and user experience assessment, effectively showcasing the VR model's realism and accuracy [34], [35].…”
Section: B Analysis Of the Vr Frameworkmentioning
confidence: 99%
“…The immersive nature of VR, characterized by virtual representations, makes traditional verification methods inadequate. The challenges include the lack of a true baseline, potential distortions introduced during real-time VR rendering, and the subjective nature of visual assessment [32], [33]. To overcome these challenges, recent research papers commonly employ alternative methods such as expert evaluation and user experience assessment, effectively showcasing the VR model's realism and accuracy [34], [35].…”
Section: B Analysis Of the Vr Frameworkmentioning
confidence: 99%