Figshare
open access
CC BY 4.0
EEG- and VR- derived affective computing in excessive internet gamers with social anxiety
Excessive internet use may serve as an emotion regulation strategy. This retrospective cross-sectional study examined arousal and valence in students at high and low risk of internet gaming disorder (IGD) using a convolutional neural network (CNN)-based model applied to electroencephalographic (E
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Academic burnout and internet gaming disorder in Chinese adolescents: The chain mediating roles of depressive symptoms and negative attentional bias.#138391
- Video games in cognitive event-related EEG research: A scoping review#120276
- Virtual reality exposure therapy with graded interviewer reactions for public speaking anxiety in university students: a randomized controlled trial protocol.#360917
- “It’s not that I don’t have a life, it’s that I choose to have many”: A Qualitative Exploration of Video Gamers’ Perceived Motivations for Gaming and their Impact on Psychological Health.#1135380
- “It’s not that I don’t have a life, it’s that I choose to have many”: A Qualitative Exploration of Video Gamers’ Perceived Motivations for Gaming and their Impact on Psychological Health.#1135230
Record · ID 1133651
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive