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Using event-related brain potentials to evaluate motor-auditory latencies in virtual reality
Sascha Feder1, Jochen Miksch1,2, Sabine Grimm1,2
1Cognitive Systems Lab, Institute of Physics, Faculty of Natural Sciences, Chemnitz University of Technology, Chemnitz, Germany.
We used electroencephalography (EEG) to measure brain responses to delayed sounds in virtual reality. The P2 brainwave component can indicate how immersive a digital experience feels despite system latency.
Area of Science:
- Neuroscience
- Human-Computer Interaction
- Virtual Reality
Background:
- Real-world actions have immediate sensory feedback, but digital environments often introduce latency.
- Latency in virtual reality (VR) can impact user experience.
- Electroencephalography (EEG) offers an unobtrusive method to measure brain activity, specifically event-related potentials (ERPs), to assess user perception.
Purpose of the Study:
- To investigate the impact of system latency on user experience in VR using EEG.
- To determine if specific ERP components can serve as objective measures of perceived latency and immersion.
Main Methods:
- Participants (N=24) performed actions in a VR environment to trigger auditory events.
- System latency between action and auditory feedback was manipulated.
- EEG recorded brain activity, focusing on N1 and P2 components of ERPs, comparing self-generated vs. externally-generated sounds.
Main Results:
- N1 amplitude was reduced for self-generated sounds compared to externally-generated sounds.
- P2 amplitude showed a graded modulation with increasing latency, unlike N1.
- This dissociation suggests different neural mechanisms underlying the self-generation effect and latency perception.
Conclusions:
- The P2 component of event-related potentials is a promising neural marker for assessing the perceived immersiveness of digital environments.
- P2 amplitude can quantify the impact of system latency on user experience in VR.
- Findings contribute to understanding neural correlates of action-outcome prediction and sensory processing in interactive systems.
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