脑-机接口
刺激(心理学)
计算机科学
可视化快速呈现
可用性
可视化
接口(物质)
任务(项目管理)
信息传递
视觉诱发电位
视觉感受
语音识别
脑电图
人工智能
人机交互
感知
神经科学
心理学
认知心理学
工程类
电信
系统工程
气泡
最大气泡压力法
并行计算
作者
Yafeng Niu,Zhaozhe Zhou,Zhiyuan Li,Yunhong Wang,Jinchun Wu,Wenjun Yang,Chengqi Xue
标识
DOI:10.1080/10447318.2023.2188540
摘要
Currently, brain–computer interfaces (BCIs) have become an important part of advanced human-computer interactions. Its essence is to infer people’s ideas or purposes through brain signals to realize human-computer communication. BCI systems based on steady-state visual-evoked potentials (SSVEP) are widely used in the field of BCI because of their high information transfer rate (ITR), low training requirements, and simple system structure. To explore a reasonable design method of visual stimulation in an SSVEP-BCI interactive interface, this study completed two experiments based on the shape and presentation of visual stimulation. Experiment 1 explored the optimal shapes of different visual stimuli. The results indicated that there were significant differences in task completion times for different stimulus shapes. Combined with ergonomics experiment and subjective evaluation results, the circular was the optimal stimulus shape. Experiment 2 used different numbers of auxiliary stimuli under the condition of circular stimulus. The results showed significant differences in task completion time for various auxiliary stimuli, and the number of auxiliary stimuli negatively correlated with task completion time. Through subjective evaluation, it was found that all the median scores of the usability index increased when there were more auxiliary stimuli. The recommended number of auxiliary stimuli was eight. This research provides significant evidence for the design of visual stimulation for SSVEP-BCI systems. The experimental conclusions are of great value for improving the interaction efficiency of SSVEP-BCI systems, enhancing user experience, and expanding application fields. They will also provide new directions and ideas for the interface design of BCI systems, visual stimulation design, and application of advanced interaction technology.
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