The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
On the Relationship between My Avatar and Myself
Open accessAbstract
What is the relationship between avatars and the people they represent in terms of appearance and behavior? In this paper, we hypothesize that people (balancing motives of self-verification and self-enhancement) customize the image of their avatars to bear similarity to their real selves, but with moderate enhancements. We also hypothesize that virtual-world behavior (due to deindividuation in computer-mediated communication environments) is less restrained by normal inhibitions than real-world behavior. Lastly, we hypothesize that people with more attractive avatars than their real selves will be somewhat more confident and extraverted in virtual worlds than they are in the real world. We examine these issues using data collected from Second Life residents using an in-world intercept method that involved recruiting respondents’ avatars from a representative sample of locations. Our quantitative data indicate that, on average, people report making their avatars similar to themselves, but somewhat more attractive. And, compared to real-world behavior, respondents indicate that their virtual-world behavior is more outgoing and risk-taking and less thoughtful/more superficial. Finally, people with avatars more attractive than their real selves state that they are more outgoing, extraverted, risk-taking, and loud than their real selves (particularly if they reported being relatively low on these traits in the real world). Qualitative data from open-ended questions corroborate our hypotheses.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Social psychological aspects of computer-mediated communication
Kiesler, S., Siegel, J., & McGuire, T. W. (1984) · American Psychologist · doi:10.1037/0003-066x.39.10.1123 · Cited by 2,630
Maxims or myths of beauty? A meta-analytic and theoretical review
Langlois, J. H., Kalakanis, L., Rubenstein, A. J., Larson, A., Hallam, M., & Smoot, M. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.3.390 · Cited by 2,429
Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity
Joinson, A. N. (2001) · European Journal of Social Psychology · doi:10.1002/ejsp.36 · Cited by 1,458
Agreeable fancy or disagreeable truth? Reconciling self-enhancement and self-verification.
Swann, W. B., Pelham, B. W., & Krull, D. S. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.5.782 · Cited by 584
Cited by
Mystakidis, S. (2022) · Encyclopedia · doi:10.3390/encyclopedia2010031 · Cited by 1,977
Zarei, N., Chu, S. L., Quek, F., Rao, N. '., & Brown, S. A. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376331 · Cited by 30
Metadata
- Authors
- Messinger, P. R., Ge, X., Stroulia, E., Lyons, K., Smirnov, K., & Bone, M.
- Venue
- Journal For Virtual Worlds Research
- Publisher
- Virtual Worlds Institute, Inc.
- Published
- 1970-01-01
- Volume
- 1
- Issue
- 2
- ISSN
- 1941-8477 (ISSN-L)
- OpenAlex
- W1493721516
- Cited by
- 197
- References
- 4
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- diamond
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.