基于多道生理信号的心流体验识别及心流调节型VR系统研发

User centered designs and natural, intelligent interactive experience are the key factors to enhance user experience. Flow experience is an important goal of the VR system design. It helps users achieve positive cognitive and behavioral change, and the physiological flow has great potential in the natural interaction design and user experience evaluation. However, the lack of existing studies in physiological flow recognition and measurement technology limits the application of flow in natural interaction design. The present project is a cross study of psychology and computer science. It mainly studies the physiological mechanism and physiological evaluation technology of the flow experience, as well as its application in the VR system design and evaluation. The project includes four researches: Research 1 studies the physiological activity characteristics of flow in VR activities with psychophysiological research methods, then put forward the physiological mechanism of flow. Research 2 references the methods of affective computing, studying flow identification technology and flow intensity evaluation technique based on physiological signals; Research 3 proposes a flow centered regulating VR system paradigm based on flow theory and physiological evaluation technology, and then build a VRtraining system as the prototype system. Research 4 conducts two psychological experiments to examine the effectiveness of the proposed VR system design in improving user experience and training performance. Through the above researches, we aim to get (1) a set of method to effectively recognize and evaluate the flow based on physiological signals; (2) a design paradigm and implementation methods of a flow regulating VR system, promoting the development of harmonious human-computer interaction.

用户中心的设计，以及自然、智能的交互是提升用户体验（UX）的关键方面。心流体验（flow）是VR系统的重要设计目标，能促进用户积极的认知和行为改变，且心流的生理评价在自然交互设计和UX测评中有巨大潜能。然而，目前基于生理信号的心流识别技术欠缺，限制了心流的应用。本项目主要考察基于多生理信号的心流识别和测评技术，及其在调节型VR系统设计和评价中的应用。项目包括四个研究：研究1使用生理心理学研究方法在VR活动中考察心流的生理过程，并提出解释理论；研究2考察基于生理信号的心流识别技术和心流强度评价技术；研究3基于心流理论和测评技术，提出心流调节型VR系统设计范式，并应用于VR训练中构建原型系统。研究4通过心理学实验考察研究3所实现的VR系统在提升心流和训练效果中的有效性。通过以上研究，得出基于生理信号的心流识别和评价方法，同时得出有效的心流调节型VR系统设计范式和实现方法，促进和谐的人机关系。

户中心的设计，以及自然、智能的交互是提升用户体验（UX）的关键方面。心流体验（flow）是VR系统的重要设计目标，能促进用户积极的认知和行为改变，且心流的生理评价在自然交互设计和UX测评中有巨大潜能。然而，目前基于生理信号的心流识别技术欠缺，限制了心流的应用。本项目主要考察基于多生理信号的心流识别和测评技术，及其在调节型VR系统设计和评价中的应用。项目主要对四个主要内容进行了研究：第一，在VR活动中考察心流的影响因素和生理反应特点，并提出解释理论模型；第二，构建VR活动中的心流生理数据集，考察基于多道生理信号的心流识别技术技术；第三，基于心流理论和测评技术，提出心流的动态调节工具和调节优化方法，并开发心流调节型VR原型系统。第四，通过心理学实验考察影响心流体验和调节的系统、交互及用户要素，并检验我们所提心流评估和调节方法的有效性。通过以上研究，得出基于生理信号的心流识别和评价方法，同时得出有效的心流调节型VR系统设计范式和原型，并在多领域进行了应用。