Investigating the Use of Machine Learning Methods for Levels of Sense of Presence Classification Based on Eye Tracking Data. - Peerawat Pannattee; Shogo Shimada; Vibol Yem; Nobuyuki Nishiuchi (CISIM, 2023)

High-Frequency Cybersickness Prediction Using Deep Learning Techniques With Eye-Related Indices. - Shogo Shimada; Peerawat Pannattee; Yasushi Ikei; Nobuyuki Nishiuchi; Vibol Yem (IEEE Access, 2023)

American Sign language fingerspelling recognition in the wild with spatio temporal feature extraction and multi-task learning. - Peerawat Pannattee; Wuttipong Kumwilaisak; Chatchawarn Hansakunbuntheung; Nattanun Thatphithakkul; C.-C. Jay Kuo (Expert Syst. Appl., 2024)

Investigating the Impact of Sound Design on User Experience in Virtual Reality. - Nattamon Srithammee; Peerawat Pannattee; Yosuke Fukuchi; Nobuyuki Nishiuchi (KST, 2025)

MUXAS-VR: A Multi-Dimensional User Experience Assessment System for Virtual Reality. - Peerawat Pannattee; Yosuke Fukuchi; Nobuyuki Nishiuchi (IEEE Access, 2025)

A deep learning framework for automatic assessment of presence in virtual reality using multimodal behavioral cues. - Peerawat Pannattee; Shogo Shimada; Vibol Yem; Nobuyuki Nishiuchi (Neural Comput. Appl., 2025)