Gamification as a Data Acquisition Strategy for Neurogames

Fuente: arXiv
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Main Author: Saldivar, Diego
Format: Preprint
Published: 2025
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author Saldivar, Diego
author_facet Saldivar, Diego
contents The nascent field of neurogames relies on active Brain-Computer Interface input to drive its game mechanics. Consequently, users expect their conscious will to be meaningfully reflected on the virtual environment they're engaging in. Additionally, the videogame industry considers it paramount to provide gamers with seamless experiences to avoid disrupting their state of flow. Thus, this paper suggests gamification as a strategy to camouflage the often fatiguing data acquisition process in Machine Learning from neurodata so that neurogamers can further immerse themselves in the virtual experience while Artificial Intelligence models benefit from data taken in reproducible contexts.
format Preprint
id arxiv_https___arxiv_org_abs_2504_13851
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Gamification as a Data Acquisition Strategy for Neurogames
Saldivar, Diego
Human-Computer Interaction
H.1.2; H.5.1; H.5.2; H.5.m
The nascent field of neurogames relies on active Brain-Computer Interface input to drive its game mechanics. Consequently, users expect their conscious will to be meaningfully reflected on the virtual environment they're engaging in. Additionally, the videogame industry considers it paramount to provide gamers with seamless experiences to avoid disrupting their state of flow. Thus, this paper suggests gamification as a strategy to camouflage the often fatiguing data acquisition process in Machine Learning from neurodata so that neurogamers can further immerse themselves in the virtual experience while Artificial Intelligence models benefit from data taken in reproducible contexts.
title Gamification as a Data Acquisition Strategy for Neurogames
topic Human-Computer Interaction
H.1.2; H.5.1; H.5.2; H.5.m
url https://arxiv.org/abs/2504.13851