Learning selection-based augmented reality interactions across different training modalities: uncovering sex-specific neural strategies
IntroductionRecent advancements in augmented reality (AR) technology have opened up potential applications across various industries. In this study, we assess the effectiveness of psychomotor learning in AR compared to video-based training methods.MethodsThirty-three participants (17 males) trained...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Neuroergonomics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnrgo.2025.1539552/full |
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| author | John Hayes Joseph L. Gabbard Ranjana K. Mehta |
| author_facet | John Hayes Joseph L. Gabbard Ranjana K. Mehta |
| author_sort | John Hayes |
| collection | DOAJ |
| description | IntroductionRecent advancements in augmented reality (AR) technology have opened up potential applications across various industries. In this study, we assess the effectiveness of psychomotor learning in AR compared to video-based training methods.MethodsThirty-three participants (17 males) trained on four selection-based AR interactions by either watching a video or engaging in hands-on practice. Both groups were evaluated by executing these learned interactions in AR.ResultsThe AR group reported a higher subjective workload during training but showed significantly faster completion times during evaluation. We analyzed brain activation and functional connectivity using functional near-infrared spectroscopy during the evaluation phase. Our findings indicate that participants who trained in AR displayed more efficient brain networks, suggesting improved neural efficiency.DiscussionDifferences in sex-related activation and connectivity hint at varying neural strategies used during motor learning in AR. Future studies should investigate how demographic factors might influence performance and user experience in AR-based training programs. |
| format | Article |
| id | doaj-art-7a00459c1abb43f7b005cb0a780fedf6 |
| institution | OA Journals |
| issn | 2673-6195 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroergonomics |
| spelling | doaj-art-7a00459c1abb43f7b005cb0a780fedf62025-08-20T02:29:50ZengFrontiers Media S.A.Frontiers in Neuroergonomics2673-61952025-04-01610.3389/fnrgo.2025.15395521539552Learning selection-based augmented reality interactions across different training modalities: uncovering sex-specific neural strategiesJohn Hayes0Joseph L. Gabbard1Ranjana K. Mehta2Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, United StatesGrado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, United StatesDepartment of Industrial and Systems Engineering, University of Wisconsin Madison, Madison, WI, United StatesIntroductionRecent advancements in augmented reality (AR) technology have opened up potential applications across various industries. In this study, we assess the effectiveness of psychomotor learning in AR compared to video-based training methods.MethodsThirty-three participants (17 males) trained on four selection-based AR interactions by either watching a video or engaging in hands-on practice. Both groups were evaluated by executing these learned interactions in AR.ResultsThe AR group reported a higher subjective workload during training but showed significantly faster completion times during evaluation. We analyzed brain activation and functional connectivity using functional near-infrared spectroscopy during the evaluation phase. Our findings indicate that participants who trained in AR displayed more efficient brain networks, suggesting improved neural efficiency.DiscussionDifferences in sex-related activation and connectivity hint at varying neural strategies used during motor learning in AR. Future studies should investigate how demographic factors might influence performance and user experience in AR-based training programs.https://www.frontiersin.org/articles/10.3389/fnrgo.2025.1539552/fullaugmented realityfNIRSpsychomotor learningsex differencesgraph theorytraining |
| spellingShingle | John Hayes Joseph L. Gabbard Ranjana K. Mehta Learning selection-based augmented reality interactions across different training modalities: uncovering sex-specific neural strategies Frontiers in Neuroergonomics augmented reality fNIRS psychomotor learning sex differences graph theory training |
| title | Learning selection-based augmented reality interactions across different training modalities: uncovering sex-specific neural strategies |
| title_full | Learning selection-based augmented reality interactions across different training modalities: uncovering sex-specific neural strategies |
| title_fullStr | Learning selection-based augmented reality interactions across different training modalities: uncovering sex-specific neural strategies |
| title_full_unstemmed | Learning selection-based augmented reality interactions across different training modalities: uncovering sex-specific neural strategies |
| title_short | Learning selection-based augmented reality interactions across different training modalities: uncovering sex-specific neural strategies |
| title_sort | learning selection based augmented reality interactions across different training modalities uncovering sex specific neural strategies |
| topic | augmented reality fNIRS psychomotor learning sex differences graph theory training |
| url | https://www.frontiersin.org/articles/10.3389/fnrgo.2025.1539552/full |
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