Mixed reality alters motor planning and control.
Xiaoye Michael Wang1, Michael Nitsche2, Gabby Resch3
1Faculty of Kinesiology & Physical Education, University of Toronto, Toronto, ON, Canada.
Behavioural Brain Research
|December 5, 2024
Summary
Movement in virtual reality (VR) and augmented reality (AR) differs from unmediated reality (UR). VR and AR alter motor control and planning, impacting movement efficiency and illusory effects.
Area of Science:
- Human-Computer Interaction
- Neuroscience
- Motor Control
Background:
- Mixed reality (MR) technologies like Virtual Reality (VR) and Augmented Reality (AR) alter sensory input compared to unmediated reality (UR).
- Mediated environments may necessitate different movement planning and control strategies, potentially reducing motor efficiency.
- Understanding these differences is crucial for designing effective MR experiences.
Purpose of the Study:
- To investigate how movement planning and online control differ across UR, VR, and AR.
- To examine the impact of VR and AR on manual pointing movements using the Müller-Lyer illusion.
- To compare motor control efficiency and susceptibility to illusions in different reality environments.
Main Methods:
- Participants performed manual pointing movements on Müller-Lyer illusion stimuli in UR, VR, and AR.
- Movement speed, variability, and online control were analyzed.
- Endpoint accuracy was assessed to quantify the illusory effect.
Main Results:
- Movements in VR were slower but similarly variable with comparable online control to UR.
- Movements in AR were similarly fast but more variable with reduced online control compared to UR.
- Both VR and AR showed increased susceptibility to the Müller-Lyer illusion in endpoint accuracy compared to UR.
Conclusions:
- Movement planning and execution are fundamentally different in VR and AR compared to UR.
- Participants in VR may use active compensation strategies for less efficient online control, unlike those in AR.
- Findings offer insights into neural systems involved in motor control across different reality contexts.


