Sara Khorasani , Stephain Hsu , Rui Guan , Jorge Goncalves , Andrew Irlitti , Jarrod Knibbe , Eduardo Velloso
{"title":"Pause for success: Harnessing interaction delay and target selection difficulty in VR hands-on learning environments","authors":"Sara Khorasani , Stephain Hsu , Rui Guan , Jorge Goncalves , Andrew Irlitti , Jarrod Knibbe , Eduardo Velloso","doi":"10.1016/j.cexr.2025.100103","DOIUrl":null,"url":null,"abstract":"<div><div>Human-computer interaction (HCI) theory suggests that we should minimize interaction delays and reduce target selection difficulty to optimise performance. However, in learning scenarios, delays have been shown to cause ‘forced learning’ and difficulty can be an intrinsic motivator. Any interplay between delays, forced learning, difficulty, and the embodied, immersive explo-ration style of virtual reality (VR) remains poorly understood. We study the impact of delay and target selection difficulty on learning outcomes in VR. Using a VR makerspace training module with a 2x2 factorial, mixed-methods approach, we analyze the learning data from 124 participants who interacted with either a 5-s or zero delay post target selection, and <em>Easy</em> versus <em>Hard</em> target selection difficulties. The findings reveal that incorporating a 5-s delay post-interaction led to superior learning outcomes, providing users with more time to process and rehearse information. In contrast, altering the target selection difficulty showed negligible effects on learning outcomes, with participants reporting a simultaneous increase in engagement and distraction from the learning content. This research challenges conventional HCI theories within a VR context, suggesting potential educational benefits from strategically incorporated interaction delays.</div></div>","PeriodicalId":100320,"journal":{"name":"Computers & Education: X Reality","volume":"7 ","pages":"Article 100103"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Education: X Reality","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S294967802500011X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Human-computer interaction (HCI) theory suggests that we should minimize interaction delays and reduce target selection difficulty to optimise performance. However, in learning scenarios, delays have been shown to cause ‘forced learning’ and difficulty can be an intrinsic motivator. Any interplay between delays, forced learning, difficulty, and the embodied, immersive explo-ration style of virtual reality (VR) remains poorly understood. We study the impact of delay and target selection difficulty on learning outcomes in VR. Using a VR makerspace training module with a 2x2 factorial, mixed-methods approach, we analyze the learning data from 124 participants who interacted with either a 5-s or zero delay post target selection, and Easy versus Hard target selection difficulties. The findings reveal that incorporating a 5-s delay post-interaction led to superior learning outcomes, providing users with more time to process and rehearse information. In contrast, altering the target selection difficulty showed negligible effects on learning outcomes, with participants reporting a simultaneous increase in engagement and distraction from the learning content. This research challenges conventional HCI theories within a VR context, suggesting potential educational benefits from strategically incorporated interaction delays.