Evidence map›Paper›PMID 40570324›Full record

ArticleJMIR mental health2025

Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study.

Vibhav Chitale, Julie D Henry, Ben Matthews, Vanessa Cobham, Nilufar Baghaei

Abstract read
In one paragraph

Article in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Vibhav ChitaleSchool of Electrical Engineering and Computer Science, University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0002-1568-5474
Julie D HenrySchool of Psychology, University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0002-2081-3717
Ben MatthewsSchool of Electrical Engineering and Computer Science, University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0003-1128-729X
Vanessa CobhamSchool of Psychology, University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0002-7633-2971
Nilufar BaghaeiSchool of Electrical Engineering and Computer Science, University of Queensland, Brisbane, Australia.ORCID https://orcid.org/0000-0003-1776-7075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnxiety and depression are serious mental health conditions affecting millions of people worldwide; however, they are often underdiagnosed due to limited health care resources. Mobile games, with their widespread popularity and availability, offer a unique opportunity to use user-game interaction data for mental health screening.

objectiveThis study aimed to explore whether swipe gesture interactions from mobile games can serve as indicators of anxiety and depression symptoms.

methodsA total of 82 participants played 3 casual mobile games (puzzle, infinite runner, and object slicing games) for 15 minutes each and completed validated measures of anxiety (Generalized Anxiety Disorder-7; GAD-7) and depression (Patient Health Questionnaire-8; PHQ-8). Data were logged for each swipe event, and metrics were computed using statistical measures, yielding roughly 150 metrics per game. Spearman rank correlations were calculated between each metric and GAD-7 and PHQ-8 scores.

resultsMultiple swipe gesture metrics showed significant associations with both anxiety and depression scores. For the puzzle game, mean swipe speed correlated with PHQ-8 (ρ=-0.405; P<.001) and GAD-7 (ρ=-0.400; P<.001) scores. For the infinite runner game, mean variance in swipe end pressure showed moderate to strong negative correlation with PHQ-8 (ρ=-0.405; P<.001) and GAD-7 (ρ=-0.309; P=.007) scores. In the object slicing game, minimum swipe start position along the y-axis correlated positively with PHQ-8 (ρ=0.368; P<.001) and GAD-7 (ρ=0.370; P<.001) scores.

conclusionsThe findings from this exploratory study provide preliminary evidence supporting the feasibility of using swipe gesture interactions in mobile games as novel, engaging, and nonintrusive indicators of anxiety and depression.

Indexed as

AnxietyDepressionGesturesVideo GamesAdolescentAdultFemaleHumansMaleMiddle AgedYoung Adultanxietydepressiongame datamental healthmobile gamesscreeningswipe gesture

Identifiers

PMID40570324
PMCPMC12246760

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.