TY - GEN
T1 - The impact of implicit and explicit feedback on performance and experience during VR-supported motor rehabilitation
AU - Hamzeheinejad, Negin
AU - Roth, Daniel
AU - Monty, Samantha
AU - Breuer, Julian
AU - Rodenbergc, Anuschka
AU - Latoschik, Marc Erich
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - This paper examines the impact of implicit and explicit feedback in Virtual Reality (VR) on performance and user experience during motor rehabilitation. In this work, explicit feedback consists of visual and auditory cues provided by a virtual trainer, compared to traditional feedback provided by a real physiotherapist. Implicit feedback was generated by the walking motion of the virtual trainer accompanying the patient during virtual walks. Here, the potential synchrony of movements between the trainer and trainee is intended to create an implicit visual affordance of motion adaption. We hypothesize that this will stimulate the activation of mirror neurons, thus fostering neuroadaptive processes. We conducted a clinical user study in a rehabilitation center employing a gait robot. We investigated the performance outcome and subjective experience of four resulting VR-supported rehabilitation conditions: with/without explicit feedback, and with/without implicit (synchronous motion) stimulation by a virtual trainer. We further included two baseline conditions reflecting the current NonVR procedure in the rehabilitation center. Our results show that additional feedback generally resulted in better patient performance, objectively assessed by the necessary applied support force of the robot. Additionally, our VR-supported rehabilitation procedure improved enjoyment and satisfaction, while no negative impacts could be observed. Implicit feedback and adapted motion synchrony by the virtual trainer led to higher mental demand, giving rise to hopes of increased neural activity and neuroadaptive stimulation.
AB - This paper examines the impact of implicit and explicit feedback in Virtual Reality (VR) on performance and user experience during motor rehabilitation. In this work, explicit feedback consists of visual and auditory cues provided by a virtual trainer, compared to traditional feedback provided by a real physiotherapist. Implicit feedback was generated by the walking motion of the virtual trainer accompanying the patient during virtual walks. Here, the potential synchrony of movements between the trainer and trainee is intended to create an implicit visual affordance of motion adaption. We hypothesize that this will stimulate the activation of mirror neurons, thus fostering neuroadaptive processes. We conducted a clinical user study in a rehabilitation center employing a gait robot. We investigated the performance outcome and subjective experience of four resulting VR-supported rehabilitation conditions: with/without explicit feedback, and with/without implicit (synchronous motion) stimulation by a virtual trainer. We further included two baseline conditions reflecting the current NonVR procedure in the rehabilitation center. Our results show that additional feedback generally resulted in better patient performance, objectively assessed by the necessary applied support force of the robot. Additionally, our VR-supported rehabilitation procedure improved enjoyment and satisfaction, while no negative impacts could be observed. Implicit feedback and adapted motion synchrony by the virtual trainer led to higher mental demand, giving rise to hopes of increased neural activity and neuroadaptive stimulation.
KW - Human-centered computing-Visualization-Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85106513643&partnerID=8YFLogxK
U2 - 10.1109/VR50410.2021.00061
DO - 10.1109/VR50410.2021.00061
M3 - Conference contribution
AN - SCOPUS:85106513643
T3 - Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021
SP - 382
EP - 391
BT - Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021
Y2 - 27 March 2021 through 3 April 2021
ER -