Yu Hui Ho
Yu Hui Ho
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yu Hui Ho has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
Cheng Chang Lien
Chung Hua University
1 shared publication- Cheng-Chang Lien
College of Computer Science and Electrical Engineering, Chung Hua University, Hsinchu 30012, Taiwan
1 shared publication Kai Way Li
Chung Hua University
1 shared publication- Kai Way Li
College of Management, Chung Hua University, Hsinchu 30012, Taiwan
1 shared publication - Pei Syuan Wu
College of Management, Chung Hua University, Hsinchu 30012, Taiwan
1 shared publication - Tung-Liang Chen
Department of Technology Management, Chung Hua University, Hsinchu 30012, Taiwan
1 shared publication
Latest Publications
- Open Access
- 20 October 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (20) , 10361
Is Handling a Virtual Object Using a Ray-Casting Technique More Difficult and Less Efficient than Using Hand Gesture Manipulation?
Both augmented and virtual reality (AR and VR) devices have been widely adopted in industries and for personal usages. Doctors can now use VR devices to perform pathological assessments. In addition to traditional input devices such as handheld controllers, advanced input techniques such as ray-casting (RC) and hand gesture manipulation (HGM) have been developed. However, comparisons of the performance of these techniques have not been reported. The objectives of this study were to test the hypotheses that using the RC technique is more time-consuming and more difficult than using HGM and that object shape is a significant factor affecting both the time to complete the task and rating of difficulty. Thirty participants joined an experiment. They wore a Microsoft HoloLens 2 headpiece to perform the virtual object transferring tasks. The results show that the movement time using RC was significantly longer than that (9987.8 ms vs. 4840.3 ms, p < 0.001) of using HGM. The rating of difficulty of RC was also significantly higher than that of HGM (2.56 vs. 1.51, ). Details of the effects of the interaction method and object shape, together with the considerations of gender and movement direction, were discussed. In addition, two movement time models were developed. The R2 values of these models show that the fitness of both models is adequate. However, the prediction error of the integrated model is relatively higher than that of the HGM-specific one due to the volatile nature of the RC tasks. This study is novel in providing scientific data to compare the performance of an AR device using RC and HGM, which will contribute to the advancement of AR technology.- 20 October 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (20) , 10361
Open AccessIs Handling a Virtual Object Using a Ray-Casting Technique More Difficult and Less Efficient than Using Hand Gesture Manipulation?
Both augmented and virtual reality (AR and VR) devices have been widely adopted in industries and for personal usages. Doctors can now use VR devices to perform pathological assessments. In addition to traditional input devices such as handheld controllers, advanced input techniques such as ray-casting (RC) and hand gesture manipulation (HGM) have been developed. However, comparisons of the performance of these techniques have not been reported. The objectives of this study were to test the hypotheses that using the RC technique is more time-consuming and more difficult than using HGM and that object shape is a significant factor affecting both the time to complete the task and rating of difficulty. Thirty participants joined an experiment. They wore a Microsoft HoloLens 2 headpiece to perform the virtual object transferring tasks. The results show that the movement time using RC was significantly longer than that (9987.8 ms vs. 4840.3 ms, p < 0.001) of using HGM. The rating of difficulty of RC was also significantly higher than that of HGM (2.56 vs. 1.51, ). Details of the effects of the interaction method and object shape, together with the considerations of gender and movement direction, were discussed. In addition, two movement time models were developed. The R2 values of these models show that the fitness of both models is adequate. However, the prediction error of the integrated model is relatively higher than that of the HGM-specific one due to the volatile nature of the RC tasks. This study is novel in providing scientific data to compare the performance of an AR device using RC and HGM, which will contribute to the advancement of AR technology. - 1 June 2026
- Published by Springer Nature
- p. 22-29
Performance Measurement of Hand Manipulation of Virtual Objects in 3D Space
- 1 June 2026
- Published by Springer Nature
- p. 22-29
Performance Measurement of Hand Manipulation of Virtual Objects in 3D Space