HickStudyVR: A Hick's Law-Based Information Processing Speed Test in VR for Large Choice Sets

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초록

Hick's law, a foundational principle in human-computer interaction (HCI), predicts that reaction time increases logarithmically with the number of equally likely choices. While its theoretical value is well established, practical applications in modern HCI remain limited, particularly for accurately estimating individual information processing speed (IPS), defined as the reciprocal of the regression slope. This study introduces HickStudyVR, a virtual reality-based system designed to measure IPS with high precision by minimizing perceptual and motor confounds through gaze-based aiming and controller-based selection. A pilot study with four participants showed strong adherence to Hick's law (all R2 > 0.94), with IPS ranging from 5.00 to 5.56 bit/s. To further validate the system's design, future work will compare it against traditional 2D layouts to determine whether the VR-based interaction method indeed enhances IPS measurement accuracy. Additional investigations will explore the impact of stimulus type, spatial layout, and gamification on IPS estimation, supporting the development of more robust and generalizable tools for cognitive assessment in immersive environments. © 2025 IEEE.

키워드

3D user interface; choice reaction time; Hick's law; information processing speed; virtual reality
제목
HickStudyVR: A Hick's Law-Based Information Processing Speed Test in VR for Large Choice Sets
저자
Choe, Junha; Cho, Hyeeun; Kim, Haejun; Kim, Woojoo
DOI
10.1109/ISMAR-Adjunct68609.2025.00205
발행일
2025
유형
Proceedings Paper
저널명
Proceedings - 2025 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2025
페이지
817 ~ 818