ArticleNeuropsychopharmacology reports2025
Facial Emotional Expression in Reaction to Internet Gaming Videos Among Young Adults: A Preliminary and Exploratory Study.
Article in Neuropsychopharmacology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Facial emotional expression in response to alcohol-promoting commercials in individuals with alcohol use disorder: A pilot study.PCN reports : psychiatry and clinical neurosciences · 2026Article
- Psychophysiological response of individuals with internet gaming disorder to gaming content from social media.Addictive behaviors reports · 2025Article
- Neural Correlates of Resistance to Gaming Desire Induced by Social Media Content.Addiction biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The surge in online gaming's popularity has raised concerns regarding excessive engagement particularly among younger generations. Internet gaming disorder (IGD) is increasingly recognized as a clinical concern, underscoring the necessity for early detection and intervention. Although facial expressions provide key emotional insights, their link to symptoms associated with internet gaming addiction remains largely unexplored. In this preliminary study, we investigated facial emotional expressions in response to internet gaming videos among 28 young adults who casually play online games, utilizing the automated facial expression recognition system for analysis. Participants watched internet gaming and neutral (nongaming) videos while their facial expressions were recorded. We measured the intensity of each facial expression (happy, sad, angry, surprised, scared, disgusted, and neutral) and explored their correlation with symptoms related to internet gaming addiction. Participants exhibited a higher intensity of neutral expression and a lower intensity of sad expression in internet gaming videos compared to neutral ones; however, the findings were only nominally significant and did not survive correction for multiple comparisons. Moreover, participants with higher symptoms of internet gaming addiction displayed reduced facial intensity of sadness in response to internet gaming videos. Additionally, we noted a positive correlation between the facial intensity of surprise and levels of gaming desire. Furthermore, the intensity of disgusted facial expressions showed a negative correlation with participants' familiarity levels with the online games. These preliminary and exploratory findings hold promise for deepening our understanding of individuals' emotional responses and internet gaming behavior. Future research with larger samples, including patients with IGD, will be crucial to validate these findings and to inform the development of preventive strategies and effective interventions in this field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.