FisheyeVR: Extending the Field of View by Dynamic Zooming in Virtual Reality.

2024 | First Author | Intern Researcher | Undergraduate Researcher | Advisor: Prof. Lung-Pan Cheng, CSIE, NTU

UIST 2024 EA

Traditional zooming user interfaces have been used on many computer devices such as personal computers and mobiles for several years. However, there is little research and application of implementing zooming interfaces in virtual reality (VR) devices due to visual distortion. Meanwhile, most affordable VR devices nowadays have a relatively narrow field of view compared to natural human eyes. We propose FisheyeVR, a zooming interface in VR that dynamically provides users a wider field of view using a shorter focal length on the virtual camera, trading in an acceptable visual distortion for more visual context. We conduct studies to (1) find a maximal field of view with an acceptable visual distortion, (2) understand 4 triggering methods using users' activities and (3) evaluate the final FisheyeVR system that integrates finding in the previous studies. Our results show that FisheyeVR reduces users' physical effort and oculomotor simulator sickness without affecting performances in game. (Please contact me for more information)

5ee You: Implementing Big-5 Personality Predictions in HR Management

2022 | Undergraduate Researcher | Advisor: Prof. Chih-Ping Wei, IM, NTU

This project employed machine learning techniques for dynamic image analysis during situational conversations, offering an innovative alternative to traditional questionnaire-based methods for predicting Big-5 personality traits. Specifically tailored for job search contexts, this system enables job seekers to objectively assess their interview performance, providing a valuable tool for interview preparation. (Please contact me for more information)