TARGET ARTICLE: Immersive Virtual Environment Technology as a Methodological Tool for Social Psychology
Abstract
Historically, at least 3 methodological problems have dogged experimental social psychology: the experimental control-mundane realism trade-off, lack of replication, and unrepresentative sampling. We argue that immersive virtual environment technology (IVET) can help ameliorate, if not solve, these methodological problems and, thus, holds promise as a new social psychological research tool. In this article, we first present an overview of IVET and review IVET-based research within psychology and other fields. Next, we propose a general model of social influence within immersive virtual environments and present some preliminary findings regarding its utility for social psychology. Finally, we present a new paradigm for experimental social psychology that may enable researchers to unravel the very fabric of social interaction.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Anthropomorphism is a key determinant of how media agents are evaluated.
“Anthropomorphism is a key determinant of how media agents are evaluated (Blascovich et al., 2002; Gong & Nass, 2007; E. J. Lee, 2010a, 2010b; Rosenthal-Von der Pütten & Krämer, 2014).”
From Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm (2020) · cites this paper as Blascovich et al., 2002
Considerable evidence suggests that humans perceive media agents differently from how they perceive humans.
“Additionally, considerable evidence suggests that humans perceive media agents differently from how they perceive humans (e.g., Blascovich et al., 2002; Fox et al., 2015; Krämer et al., 2012).”
From Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm (2020) · cites this paper as Blascovich et al., 2002
VR allows researchers to maintain a high degree of control on the experiment while immersing participants in highly realistic multisensory environments.
“Indeed, VR allows researchers to maintain a high degree of control on the experiment, while at the same time immersing participants in highly realistic multisensory environments23.”
From The impact of multisensory integration and perceptual load in virtual reality settings on performance, workload and presence (2021) · cites this paper as [23]
The citation lists haven’t been fetched yet
References 97 · Cited by 1,280
- Authors
- Blascovich, J., Loomis, J., Beall, A. C., Swinth, K. R., Hoyt, C. L., & Bailenson, J. N.
- Affiliations
- University of California, Santa Barbara (US)
- Venue
- Psychological Inquiry
- Publisher
- Informa UK Limited
- Published
- 2002-04
- Volume
- 13
- Issue
- 2
- Pages
- 103-124
- ISSN
- 1047-840X (ISSN-L)
- 1532-7965
- OpenAlex
- W1713757920
- Cited by
- 1,280
- References
- 97
- Citations by year
- 2026: 59 · 2025: 85 · 2024: 104 · 2023: 80 · 2022: 68 · 2021: 91 · 2020: 87 · 2019: 75 · 2018: 89 · 2017: 60 · 2016: 58 · 2015: 61 · 2014: 42 · 2013: 47 · 2012: 32
- FWCI
- 15.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Inquiry (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
- Keywords
- social influence, experimental control, replication, sample representativeness, virtual reality experiments, social interaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review