基于脑电技术的MOOC平台用户体验优化策略研究

User Experience Optimization Strategy of MOOC Platform Based on EEG Technology

中文关键词: MOOC平台  用户体验  脑电  节律波

英文关键词: MOOC platform  user experience  EEG  rhythmic wave energy

中文摘要:

      目的 通过脑电技术与主观问卷相结合的方式，测量MOOC平台用户体验水平，探索影响MOOC平台用户体验的主要因素，提出设计优化建议。方法 通过脑电技术采集各被试者在使用MOOC平台时的脑电信号特征，结合用户体验量表获取用户的主观评价。采用频域分析的方法提取节律波能量值并进行定量化分析，洞察节律波能量与主观评价的内在联系，从而实现MOOC平台用户体验水平的定量化分析。结论 中国大学MOOC平台用户体验优于学堂在线平台，MOOC平台可用性、可寻性是影响用户注意力、脑力负荷、唤醒度的重要影响因素，MOOC平台愉悦性是影响用户情绪的主要因素。

英文摘要:

      The work aims to measure the user experience level of the MOOC platform and explore the main factors that affect the user experience, using a combined method of EEG technology and subjective questionnaires, and to provide design optimization suggestions. EEG signals were collected from each subject while using the MOOC platform, and the subjective evaluation of users was obtained through a user experience questionnaire. Frequency domain analysis was used to extract rhythmic wave energy values and conduct quantitative analysis to explore the inherent relationship between rhythmic wave energy and subjective evaluation, thus achieving a quantitative analysis on the user experience level of the MOOC platform. The MOOC platform of Chinese universities has a better user experience than the Xuetang platform. The usability and findability of the MOOC platform are important factors that affect user attention, cognitive load, and arousal, while the pleasantness of the MOOC platform is the main factor that influences user emotions.