SkillAR: omnipresent in-situ feedback for motor skill training using AR

Abstract We present a novel technique called SkillAR to display augmented reality feedback for motor skill learning on a head-mounted display (HMD). SkillAR allows the user to consider movement corrections independent of the head position. Therefore, the user can receive motor feedback comfortably without risking an incorrect exercise performance. Head-mounted displays represent versatile technologies for providing motor feedback regarding skill training. In contrast to room-mounted displays, HMDs are easily portable and wearable. That allows for in-situ feedback in many situations where this would otherwise not be possible. However, the spatial positioning of the 3D feedback is not trivial. On the one hand, the user needs to understand the relation between the body and the suggested corrections in the space. On the other hand, certain exercises demand a specific head positioning to minimize errors and injuries. Depending on the exercise and the type of feedback, these two aspects can be highly conflicting. The paper at hand presents a solution for augmented reality headsets, that provides continuous and omnipresent motor feedback comfortably while facilitating a correct exercise performance. In an in-subject user study with 39 participants, we could not detect a significant disadvantage to SkillAR compared to conventional feedback methods found in the literature regarding identification and execution time as well as identification accuracy, in addition to the apparent major advantages for user health and usability. Furthermore, we found that the users could identify the feedback on the HMD more accurately.

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Publication Details

Journal
Virtual Reality
Published
2025-02-04
DOI
https://doi.org/10.1007/s10055-025-01108-1
Citations
2
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
2.86
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article

SkillAR: omnipresent in-situ feedback for motor skill training using AR

Nico Henkel, Alexander Wiebel, Gerik Scheuermann, Florian Diller
2 citations
Virtual Reality
Motor Control and Adaptation
2.86
article

SkillAR: omnipresent in-situ feedback for motor skill training using AR

Nico Henkel, Alexander Wiebel, Gerik Scheuermann, Florian Diller
article en
2 citations

Abstract

Abstract We present a novel technique called SkillAR to display augmented reality feedback for motor skill learning on a head-mounted display (HMD). SkillAR allows the user to consider movement corrections independent of the head position. Therefore, the user can receive motor feedback comfortably without risking an incorrect exercise performance. Head-mounted displays represent versatile technologies for providing motor feedback regarding skill training. In contrast to room-mounted displays, HMDs are easily portable and wearable. That allows for in-situ feedback in many situations where this would otherwise not be possible. However, the spatial positioning of the 3D feedback is not trivial. On the one hand, the user needs to understand the relation between the body and the suggested corrections in the space. On the other hand, certain exercises demand a specific head positioning to minimize errors and injuries. Depending on the exercise and the type of feedback, these two aspects can be highly conflicting. The paper at hand presents a solution for augmented reality headsets, that provides continuous and omnipresent motor feedback comfortably while facilitating a correct exercise performance. In an in-subject user study with 39 participants, we could not detect a significant disadvantage to SkillAR compared to conventional feedback methods found in the literature regarding identification and execution time as well as identification accuracy, in addition to the apparent major advantages for user health and usability. Furthermore, we found that the users could identify the feedback on the HMD more accurately.

Virtual RealityVol. 29(1)
University of Applied Sciences Worms (DE), Leipzig University (DE)
Openalex Percentile: Top 12%
Motor Control and Adaptation
2.86
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SkillAR: omnipresent in-situ feedback for motor skill training using AR — Nico Henkel, Alexander Wiebel, et al. · Virtual Reality (2025) | TGRS Research Map | TGRS