Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR ...
summary
A VR cycling exergame uses a recorded self-model opponent replayed at the player’s previous best and then boosted by 10% increased resistance to make the target harder; comparisons include equal challenge and a virtual competitor with matched pacing. Measured outcome: performance rises significantly against the harder self-model while intrinsic motivation stays statistically non‑inferior using non-inferiority testing, and motivation drops when the same enhanced pacing is framed as a virtual competitor. Study is short, mostly males aged ~20–30, and recommends longer, larger follow-ups.
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chapters (16)
- 0:00Introduction to interactive feedforward
- 1:09High intensity interval training in VR
- 2:56Problem with high intensity training
- 3:16Feedforward vs feedback explained
- 5:25Interactive feedforward in VR games
- 7:21Demo of interactive feedforward
- 7:41Research questions and methods
- 11:57Study results on performance
- 12:39Results on intrinsic motivation
- 13:21Limitations and future work
- 14:05Potential applications
- 14:29Q&A session begins
- 14:52Role of VR headset in immersion
- 15:57Importance of self-model embodiment
- 17:43Believability of improved self-model
- 19:09Performance progression over time
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