Dr. Yun Suen Pai is currently a Research Fellow at the Empathic Computing Laboratory (ECL), University of Auckland, directed by Prof. Mark Billinghurst. He received his Masters degree in Engineering Science on 2015 at the University of Malaya, Malaysia. He then completed his PhD from the Keio University Graduate School of Media Design, Yokohama, Japan in 2018 (Supervised by Prof. Kai Kunze), before continuing to be a researcher there for an additional 6 months.
His research interests includes the effects of augmented, virtual and mixed reality towards human perception, behavior, and physiological state. He has collaborated with several companies, including AirBus Malaysia, Fujitsu Design, NTT Media Intelligence Laboratory, Ignition Point, CSIRO and Google in several research areas, including haptics in AR, vision augmentation, VR navigation, and the use of machine learning for novel input and interactions.
Gupta, K., Hajika, R., Pai, Y. S., Duenser, A., Lochner, M., & Billinghurst, M. (2020, March). Measuring Human Trust in a Virtual Assistant using Physiological Sensing in Virtual Reality. To appear in 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) IEEE.
Hajika, R., Gupta, K., Sasikumar, P., & Pai, Y. S. (2019, November). HyperDrum: Interactive Synchronous Drumming in Virtual Reality using Everyday Objects. In SIGGRAPH Asia 2019 XR (pp. 15-16). ACM.
Gupta, K., Hajika, R., Pai, Y. S., Duenser, A., Lochner, M., & Billinghurst, M. (2019, November). In AI We Trust: Investigating the Relationship between Biosignals, Trust and Cognitive Load in VR. In 25th ACM Symposium on Virtual Reality Software and Technology (p. 33). ACM.
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.
Gunasekaran, T. S., Hajika, R., Haigh, C. D. S. Y., Pai, Y. S., Lottridge, D., & Billinghurst, M. (2021, May). Adapting Fitts’ Law and N-Back to Assess Hand Proprioception. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-7).