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Telling Us What You Experience: Effects of Questionnaire Interface Design on Subjective Measurements in Virtual
IEEE Transactions on Visualization and Computer Graphics
|April 13, 2026
Summary
Virtual reality (VR) questionnaires embedded in-VE (INVRQs) offer efficient data collection without biasing user experience. Interface usability varies, but experiential measures like presence and flow remain consistent across designs.
Area of Science:
- Human-Computer Interaction
- Virtual Reality Research
- Psychological Measurement
Background:
- Virtual reality (VR) offers controlled experimental environments but poses challenges for subjective data collection.
- Traditional post-experiment surveys can introduce recall bias and context-shift effects.
- In-VR questionnaires (INVRQs) aim to mitigate these issues but face concerns about interface usability and potential bias on experiential measures.
Purpose of the Study:
- To evaluate the impact of different 2D INVRQ interface designs on usability, task load, and experiential measures within VR.
- To provide methodological guidance for selecting or implementing INVRQ tools in VR research.
Main Methods:
- A within-subject study with 43 participants evaluating three 2D INVRQ interfaces: body-anchored watch, world-anchored station, and world-anchored board.
- Assessment of usability, task load, presence, and flow, complemented by qualitative interview feedback.
- Statistical analysis including equivalence tests to compare experiential measures across interfaces.
Main Results:
- Significant differences in usability and task load were observed across the three INVRQ interfaces, indicating distinct design trade-offs.
- Qualitative feedback revealed ergonomic considerations influencing user experience with different interfaces.
- No practically relevant differences in presence and flow ratings were found across the interfaces, suggesting experiential measures are robust to interface variations once basic usability is met.
Conclusions:
- Interface design significantly impacts usability and task load in INVRQs, necessitating careful selection based on ergonomic factors.
- Once basic usability is achieved, the choice of INVRQ interface is unlikely to substantially bias key experiential measures like presence and flow in VR.
- This research offers valuable guidance for optimizing the quality, comparability, and reproducibility of VR studies through effective INVRQ implementation.
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