lukasgehrke / prediction_error_processing

Detecting Visuo-Haptic Mismatches in Virtual Reality using the Prediction Error Negativity of Event-Related Brain Potentials. Lukas Gehrke, Sezen Akman, Pedro Lopes, Albert Chen, Avinash Kumar Singh, Hsiang-Ting Chen, Chin-Teng Lin and Klaus Gramann | In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). ACM, New York, NY, USA, Paper 427, 11 pages. DOI: https://doi.org/10.1145/3290605.3300657

Home Page:https://osf.io/x7hnm/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Matlab code to process raw data and generate final results presented in:

Detecting Visuo-Haptic Mismatches in Virtual Reality using the Prediction Error Negativity of Event-Related Brain Potentials. Lukas Gehrke, Sezen Akman, Pedro Lopes, Albert Chen, Avinash Kumar Singh, Hsiang-Ting Chen, Chin-Teng Lin and Klaus Gramann | In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). ACM, New York, NY, USA, Paper 427, 11 pages. DOI: https://doi.org/10.1145/3290605.3300657

We detected conflicts in visuo-haptic integration by analyzing event-related potentials (ERP) during interaction with virtual objects. In our EEG study, participants touched virtual objects and received either no haptic feedback, vibration, or vibration and EMS (Electrical muscle stimulation). We report a sensitiviy to unrealistic VR situations of an early negativity component at electrode FCz (prediction error), indicating we successfully detected haptic conflicts.

About

Detecting Visuo-Haptic Mismatches in Virtual Reality using the Prediction Error Negativity of Event-Related Brain Potentials. Lukas Gehrke, Sezen Akman, Pedro Lopes, Albert Chen, Avinash Kumar Singh, Hsiang-Ting Chen, Chin-Teng Lin and Klaus Gramann | In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19). ACM, New York, NY, USA, Paper 427, 11 pages. DOI: https://doi.org/10.1145/3290605.3300657

https://osf.io/x7hnm/


Languages

Language:MATLAB 73.9%Language:R 26.1%