Shuo Zhou 0011

dblp:96/539-11 · DBLP profile ↗
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6ranked-venue papers
6as first author
6since 2021 · last 2025
0000-0001-5994-598XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 6 · 6 first-author · 6 since 2021Graphics, computer vision, multimedia, augmented reality and games · 4 · 4 first-author · 4 since 2021
YearPublicationVenuePosition
2025 "Hand-In-Hand" Learning: A Novel Method for Instrument Skill Training with Electrical Muscle Stimulation
Shuo Zhou 0011, Akira Shikida, Norihisa Segawa
ICEC1
2024 Method of Electrical Muscle Stimulation to Improve Hand-eye Coordination Training in Gaming
abstract
Hand-eye coordination refers to the harmonization between visual information and hand movements. In this coordination, the information perceived by the eyes is used to guide the movements of the hands. In many games, hand-eye coordination is important for the player's experience. However, when players are faced with an unfamiliar activity, it can be a challenge to develop hand-eye coordination in a short period. This study proposes a method for hand-eye coordination training in gaming using Electrical Muscle Stimulation (EMS). By employing EMS, it is possible to enhance attention distribution during bilateral hand movements and improve hand-eye coordination, potentially enabling individuals to train hand coordination skills in a shorter period. To test the feasibility and effectiveness of our method, we first tested participants for attentional switching while wearing the EMS device to ensure that it did not negatively affect participants. Sixteen participants were then trained in hand-eye coordination with and without EMS, and the effects of the training were tested in a customized game and a real music game. The results showed that participants trained with EMS showed more significant improvements in scores and accuracy than those without EMS in both the custom game and the real game. We also conducted a retained effect experiment, which confirmed that participants retained the training effect one week after training. Thus, our study shows the possibility of using EMS as a new medium for training hand-eye coordination in games.
Shuo Zhou 0011, Norihisa Segawa
Proc. ACM Hum. Comput. Interact.1
2023 Method for Training Player Emotion in a Custom FPS Game Using Heart Rate
Shuo Zhou 0011, Norihisa Segawa
ICEC1
2023 Method of Electrical Muscle Stimulation for Training FPS Game Players in the Timing of Shots
abstract
In first-person shooter (FPS) games, players often need to calculate the timing of their shots for moving targets in advance based on the speed and relative position of those targets. For most players, the accurate timing of shots requires extended gaming experience and training. Unlike professional players, hobby players have less time to compete and train, do not receive professional game guidance, and cannot afford expensive gaming devices. According to previous studies, wearable devices with electrical stimulation can effectively control the muscles with rapid reactions. Here, we provide a method for training the timing of gaming shooters using electrical muscle stimulation (EMS). We believe that training with EMS is feasible and effective, allowing players to quickly learn and improve their gaming experience. To test the feasibility and effectiveness of our approach, we first tested the player's reaction time when using the EMS device to ensure that it did not have a negative impact on the player. Participants were then trained in a custom FPS game with three methods: EMS, non-EMS and EMS-only. The results showed a more significant increase in the average hit rate of EMS-trained participants compared to those trained using the other two methods. Thus, our study shows the possibility of using EMS devices as a training medium for a custom FPS game.
Shuo Zhou 0011, Norihisa Segawa
Proc. ACM Hum. Comput. Interact.1
2022 Method for Music Game Control Using Myoelectric Sensors
Shuo Zhou 0011, Norihisa Segawa
ICEC1
2021 Optimization of First-Person Shooter Game Control Using Heart Rate Sensor
Shuo Zhou 0011, Norihisa Segawa
ICEC1