Reducing Mental Health Stigma Through Identification With Video Game Avatars With Mental Illness
Open accessAbstract
This study examines how playing a video game featuring a player-character with mental illness can positively impact mental illness stigma. We hypothesized that interactive gameplay would positively predict transportation into the story world. Then, transportation would predict identification with the main character. This identification should then reduce stigma in two ways: by lowering stereotyping and limiting participants’ desire for social distance. A two-factor, yoked experiment was designed utilizing Hellblade: Senua’s Sacrifice, a game praised for its accurate portrayal of psychosis. The main character, Senua, suffers from psychosis and must navigate her quest along with her own mental health. Players either played the first 45 minutes of the game or watched gameplay footage of other participants’ sessions. Transportation into the story world, identification with Senua, and the two aspects of stigma—stereotyping and social distance—were measured. Consistent with hypotheses, a structural equation model found an indirect path from gameplay to reduced social distance through first transportation and then identification. Players also reported higher levels of transportation than non-players, and that heightened transportation led to greater identification and then a lowered desire for social distance from the mentally ill. The indirect path to stereotyping was not significant. These results and implications are discussed in detail.
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Two included studies showed high risk of bias related to allocation concealment.
“Besides, 2 other studies [11,32] showed a high ROB related to the allocation concealment.”
From Innovative Technology–Based Interventions to Reduce Stigma Toward People With Mental Illness: Systematic Review and Meta-analysis (2022) · cites this paper as [32]
Three included studies showed high risk of bias in blinding of participants and blinding of outcome assessment.
“However, 3 studies [31,32,37] showed a high ROB in the blinding of the participants and blinding of outcome assessment.”
From Innovative Technology–Based Interventions to Reduce Stigma Toward People With Mental Illness: Systematic Review and Meta-analysis (2022) · cites this paper as [32]
The study using videogame with avatars [32] did not show any statistical effect in the level of stigma (P=.14; d=-0.18).
“another that used videogame with avatars [32] did not show any statistical effect in the level of stigma (P=.14; d=–0.18).”
From Innovative Technology–Based Interventions to Reduce Stigma Toward People With Mental Illness: Systematic Review and Meta-analysis (2022) · cites this paper as [32]
For 2 studies reporting standardized regression, β coefficients were entered into the meta-analysis software as correlation coefficients according to Peterson and Brown.
“In addition, as 2 of the studies [32,33] reported their results through standardized regression, the β coefficients were entered into the comprehensive meta-analysis software (CMA) as correlation coefficient, according to the recommendations of Peterson and Brown [34].”
From Innovative Technology–Based Interventions to Reduce Stigma Toward People With Mental Illness: Systematic Review and Meta-analysis (2022) · cites this paper as [32]
The included study using videogames through avatar identification [32] reported a significant effect (B=-0.21; P<.05) for the reduction of social distance, despite no significant effect on stigma.
“one of the included studies, which used videogames through avatar identification [32], despite showing no significant effect on stigma in the combined effect analysis, reported a significance effect (B=–0.21; P<.05) for the reduction of social distance”
From Innovative Technology–Based Interventions to Reduce Stigma Toward People With Mental Illness: Systematic Review and Meta-analysis (2022) · cites this paper as [32]
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- Authors
- Ferchaud, A., Seibert, J., Sellers, N., & Escobar Salazar, N.
- Affiliations
- Florida State University (US)
- Florida State University-Panama (PA)
- Corresponding author
- Ferchaud, Arienne
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2020-09-09
- Volume
- 11
- Pages
- 2240-2240
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC7509402
- OpenAlex
- W3083974541
- Cited by
- 67
- References
- 47
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 7 · 2023: 20 · 2022: 26 · 2021: 3
- FWCI
- 117.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Greater South Information System
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Media Influence and Health
- Social Sciences › Sociology and Political Science › Digital Games and Media
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- mental health stigma, video game avatars, character identification, social distance, stereotyping, Hellblade: Senua's Sacrifice, mental health awareness
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 ›
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