Measuring Cognitive Conflict in Virtual Reality with Feedback-Related Negativity
Avinash Kumar Singh, Hsiang-Ting Chen, Jung-Tai King, Chin-Teng Lin

TL;DR
This paper introduces an EEG-based framework to measure cognitive conflict in VR, using feedback-related negativity to evaluate interaction techniques and improve immersive experience design.
Contribution
It presents a novel EEG measurement framework for assessing cognitive conflict in VR, validated through experiments involving 3D object selection and virtual hand realism.
Findings
FRN amplitude correlates with virtual hand realism
Framework effectively detects conflict-induced behavior changes
EEG measures align with psychological conflict theories
Abstract
As virtual reality (VR) emerges as a mainstream platform, designers have started to experiment new interaction techniques to enhance the user experience. This is a challenging task because designers not only strive to provide designs with good performance but also carefully ensure not to disrupt users' immersive experience. There is a dire need for a new evaluation tool that extends beyond traditional quantitative measurements to assist designers in the design process. We propose an EEG-based experiment framework that evaluates interaction techniques in VR by measuring intentionally elicited cognitive conflict. Through the analysis of the feedback-related negativity (FRN) as well as other quantitative measurements, this framework allows designers to evaluate the effect of the variables of interest. We studied the framework by applying it to the fundamental task of 3D object selection…
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