{"title":"Bridging attentional control and reinvestment: A test of the interactionist hypothesis in an E-sport context","authors":"Shuge Zhang , Robin Owen","doi":"10.1016/j.newideapsych.2023.101031","DOIUrl":null,"url":null,"abstract":"<div><p>Attentional control and reinvestment are two competing mechanisms explaining why anxiety-provoking situations may undermine performance. To date, both perspectives have received empirical support, but neither of them perfectly explain how anxiety affects performance. In the present study, we examined a novel, interactionist hypothesis, that worry during task performance (i.e., a product of low attentional control) undermines performance to a greater extent when reinvestment (i.e., attempts to consciously control actions) is high compared to low, in an E-sport context. In a test of 84 experienced players in the Brawlhalla E-sport game, neither worry during the games nor reinvestment propensity on their own predicted ranked match performance, but the interaction between the two did. Specifically, players who were more worried during the ranked games (i.e., lower attentional control) tended to lose more games, of which the effect was evident only when movement-specific reinvestment was high, not low. However, decision-specific reinvestment did not moderate the effect of low attentional control on performance, nor predict performance on its own. Unlike movement-specific reinvestment, decision-specific reinvestment does not appear detrimental to E-sport performance. Overall, the findings provide the first evidence for the interactionist hypothesis of attentional control and reinvestment (especially movement-specific propensity), of which the interaction effect may be underpinned by availability of additional cognitive resources that assure adaptive task processing.</p></div>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0732118X23000247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 1
Abstract
Attentional control and reinvestment are two competing mechanisms explaining why anxiety-provoking situations may undermine performance. To date, both perspectives have received empirical support, but neither of them perfectly explain how anxiety affects performance. In the present study, we examined a novel, interactionist hypothesis, that worry during task performance (i.e., a product of low attentional control) undermines performance to a greater extent when reinvestment (i.e., attempts to consciously control actions) is high compared to low, in an E-sport context. In a test of 84 experienced players in the Brawlhalla E-sport game, neither worry during the games nor reinvestment propensity on their own predicted ranked match performance, but the interaction between the two did. Specifically, players who were more worried during the ranked games (i.e., lower attentional control) tended to lose more games, of which the effect was evident only when movement-specific reinvestment was high, not low. However, decision-specific reinvestment did not moderate the effect of low attentional control on performance, nor predict performance on its own. Unlike movement-specific reinvestment, decision-specific reinvestment does not appear detrimental to E-sport performance. Overall, the findings provide the first evidence for the interactionist hypothesis of attentional control and reinvestment (especially movement-specific propensity), of which the interaction effect may be underpinned by availability of additional cognitive resources that assure adaptive task processing.