Object Manipulations in VR Show Task- and Object-Dependent Modulation of Motor Patterns
summary
Analysis of the HAVE dataset with 82 participants and 837 reach-to-grasp plus 837 reach-to-place actions compares kinematics for cups, cutlery, glasses, plates and wineglasses and measures peak speed (PS) and proportion time to peak speed (PTPS). Significant action×object effects appear for glass, plate and wineglass: some reach-to-grasp movements are faster than reach-to-place, and all PTPS values <0.5 show longer deceleration phases. Results show object-dependent motor modulation in VR and suggest concrete rules like breaking a glass when speed and short accel time combine.
AI-written summary · about
chapters (7)
- 0:00Start
- 2:36Research question
- 4:10HAVE dataset - Analyzed actions
- 4:36Kinematic features
- 5:20Results: peak speed
- 6:19Conclusions
- 8:01Acknowledgements
related talks
08mThe Effects of Hand Representation on Experience and Performance for 3D Interactions in Virtual R...
11mCan You Move These Over There? Exploring an LLM-based VR Mover to Support Natural Multi-object Ma...
09mRetargeted Self-Haptics for Increased Immersion in VR without Hand Instrumentation
19mHaptic Retargeting: Dynamic Repurposing of Passive Haptics for Enhanced Virtual Reality Experiences
05mHaptic PIVOT: On-Demand Handhelds in VR
14mDelusionized? Potential Harms of Proprioceptive Manipulations through Hand Redirection in Virtual...
08mPress A or Wave: User Expectations for NPC Interactions and Nonverbal Behaviour in Virtual Reality
19mErg-O: Ergonomic Optimization of Immersive Virtual Environments