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Cited by 257

The DOI matches its Crossref record; 168 of the 168 references it cites were found in a registry or an index.

Enhancing Attentional Control: Lessons from Action Video Games

Open access
Bavelier, Daphne, Green, C. Shawn·2019·Neuron

Abstract

The possibility of leveraging video games for enhancing behavior and brain function has led to an emerging new field situated at the crossroads of cognitive neuroscience, health science, educational interventions, and game design. Here we review the impact of video game play, in particular action video game play, on attentional control. We also examine the underlying neural bases of these effects and the game design features hypothesized to drive the plastic changes. We argue that not all games have the same impact, with both differences in the characteristics of the games themselves as well as individual differences in player style determining the final outcome. These facts, mixed with changes in the game industry, (e.g., greater mixing of genre characteristics; greater freedom of player experience) calls for a paradigm shift relative to the approach taken in the field to-date, including iteratively alternating between targeted game design and efficacy evaluation.

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Metadata

Authors
Bavelier, D., & Green, C. S.
Venue
Neuron
Publisher
Elsevier BV
Published
2019-10
Volume
104
Issue
1
Pages
147-163
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2979607972
Cited by
257
References
168
FWCI
25.46
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Enhancing Attentional Control: Lessons from Action Video Games. https://app.cochat.ai/papers/10.1016/j.neuron.2019.09.031
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Bavelier, D., & Green, C. S. (2019). Enhancing Attentional Control: Lessons from Action Video Games. Neuron. https://doi.org/10.1016/j.neuron.2019.09.031

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.