Mirror drawing is a motor learning task that is used to evaluate and improve eye-hand coordination of users and can be implemented in immersive Virtual Reality (VR) Head-Mounted Displays (HMDs) for training purposes. In this paper, we investigated the effect of color cues on user motor performance in a mirror-drawing task between Virtual Environment (VE) and Real World (RW), with three different colors. We conducted a 5-day user study with twelve participants. The results showed that the participants made fewer errors in RW compared to VR, except for pre-training, which indicated that hardware and software limitations have detrimental effects on the motor learning of the participants across different realities. Furthermore, participants made fewer errors with the colors close to green, which is usually associated with serenity, contentment, and relaxation. According to our findings, VR headsets can be used to evaluate participants' eye-hand coordination in mirror drawing tasks to evaluate the motor-learning of participants. VE and RW training applications could benefit from our findings in order to enhance their effectiveness.
Editors
2
Impact
Loading...
Original Research
15 January 2024
Effects of color cues on eye-hand coordination training with a mirror drawing task in virtual environment
Zainab Alrubaye
, 2 more and
Anil Ufuk Batmaz
Original Research
29 August 2024
Pinqing Yue
, 5 more and
Pan Zhang
811 views
0 citations
Review
21 June 2023
Hidden faces, altered perceptions: the impact of face masks on interpersonal perception
Shuai Wang
, 8 more and
Jixu Chen
The pandemic has made wearing masks commonplace, prompting researchers to investigate their effects on interpersonal perception. Findings indicate masks obstruct face identification and expression recognition, with lower face cues being most affected. When judging attractiveness, masks can enhance the appeal of less attractive faces, but reduce the appeal of more attractive faces. Trust and speech perception outcomes are inconclusive. Future studies could focus on individual differences in how masks influence our perception of others.
Open for submission
Frontiers in Neuroscience
Causal Self-Supervised Learning in AI: Advancing Perception ScienceEdited by Wenwen Qiang, Hongwei Dong, Yingjie Tian, Muhammad Faheem, Bing Su, Ling Jing

Deadline
21 July 2025
Recommended Research Topics