Kunal Gupta is a PhD candidate at the Empathic Computing Laboratory, at the University of Auckland, New Zealand, under the supervision of Prof. Mark Billinghurst. His research revolves around emotion recognition and representation in VR/AR using physiological sensing and contextual information.
Prior to this, he worked as a User Experience Researcher at Google and as an Interaction Designer at a startup in India, for a total of around 5 years of industry experience. He obtained a master’s degree in Human Interface Technology (MHIT) from the HITLab NZ at the University of Canterbury under the supervision of Prof Mark Billinghurst in 2015. As part of his master’s degree, he conducted some of the first research into the use of eye-gaze to enhance remote collaboration in wearable AR systems.
For more details about his research work, check out his website: kunalgupta.in
This project explores how brain activity can be used for computer input. The innovative MindReader game uses EEG (electroencephalogram) based Brain-Computer Interface (BCI) technology to showcase the player’s real-time brain waves. It uses colourful and creative visuals to show the raw brain activity from a number of EEG electrodes worn on the head. The player can also play a version of the Angry Birds game where their concentration level determines how far the birds can be shot. In this cheerful and engaging demo, friends and family can challenge each other to see who has the strongest neural connections!
K. Gupta, R. Hajika, Y. S. Pai, A. Duenser, M. Lochner and M. Billinghurst, "Measuring Human Trust in a Virtual Assistant using Physiological Sensing in Virtual Reality," 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Atlanta, GA, USA, 2020, pp. 756-765, doi: 10.1109/VR46266.2020.1581313729558.
Pai, Y. S., Hajika, R., Gupta, K., Sasikumar, P., & Billinghurst, M. (2020). NeuralDrum: Perceiving Brain Synchronicity in XR Drumming. In SIGGRAPH Asia 2020 Technical Communications (pp. 1-4).
Schlagowski, R., Gupta, K., Mertes, S., Billinghurst, M., Metzner, S., & André, E. (2022, March). Jamming in MR: Towards Real-Time Music Collaboration in Mixed Reality. In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 854-855). IEEE.