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Description: In extended realities (VR/AR/MR) sampling body movements enables the design of natural interactions. In concert with neural markers, detecting where things start to feel off as well as building novel interactions is feasible. The core motivation of this research is to bring neuroscientific research findings to application, leveraging a variety of supplementary signals, such as body movements and other wearables, to design robust interactive experiences that feel natural.

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Experiment Code (Unity)

Unity environment eliciting prediction error brain responses in an interactive reach-to-touch VR scenario.

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Data: Behavior & EEG

BIDS formatted EEG/MoBI data hosted on openneuro

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Paper at ACM CHI'19

Source material of CHI'19 paper: Detecting Visuo-Haptic Mismatches in Virtual Reality using the Prediction Error Negativity of Event-Related Brain Pot...

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