| 王欢欢,吕紫藤,李现昆.基于表情识别技术的用户研究方法[J].包装工程,2022,43(2):116-121. |
| 基于表情识别技术的用户研究方法 |
| User Research Method Based on Expression Recognition Technology |
| 投稿时间：2021-11-12 |
| DOI：10.19554/j.cnki.1001-3563.2022.02.015 |
| 中文关键词: 用户研究 表情识别 交互设计 KANO模型 |
| 英文关键词: user research facial expression recognition interaction design KANO model |
| 基金项目:国家自然科学基金(51505333) |
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| 中文摘要: |
| 目的 为了以更加客观的方式评估用户体验，拓展用户研究的途径，引入表情识别技术对已有用户研究方法进行优化与探索。方法 以阅读APP为研究载体，以表情识别与卷积神经网络算法为技术手段，通过设计人机交互实验将其应用于用户研究过程中，建立用户面部表情与用户主观满意度的映射关系。结果 针对阅读APP“X”，开展了基于表情识别技术和传统问卷访谈的双向设计研究，并采用对比验证的方法得出了基于表情识别技术的用户满意度客观度量方法的有效性和可行性，进而挖掘了基于表情识别方法的用户研究优势。结论 基于表情识别技术的用户研究方法在产品交互设计中具有一定的通用性。通过识别分析用户与产品进行人机交互时的面部表情动态变化，可以使用户体验评估更加客观并容易解读，准确定位产品交互体验问题，为设计领域中的用户研究和认识提供了新思路，同时也为表情识别技术与产品设计的交叉融合提供了理论和实践意义的参考。 |
| 英文摘要: |
| In order to evaluate the user experience more objectively and expand the way of user research, the expression recognition technology is introduced to optimize and explore the existing user research methods. Taking reading app as research carrier, expression recognition and convolution neural network algorithm as technical means, through the design of human-computer interaction experiment, it is applied in the process of user research, and the mapping relationship between user's facial expression and user's subjective satisfaction is established.Aiming at reading app "X", this paper carries out a two-way design research based on facial expression recognition technology and traditional questionnaire interview, and obtains the effectiveness and feasibility of objective measurement method of user satisfaction based on expression recognition technology by using comparative verification method, and then explores the advantages of expression recognition method in user research. The user research method based on expression recognition technology has certain universality in product interaction design. By identifying and analyzing the dynamic changes of facial expressions when users interact with the product, the user experience evaluation can be more objective and easier to interpret, and the product interaction experience problems can be accurately located. In addition, it provides new ideas for user research and understanding in the field of design, and provides theoretical and practical reference for the cross integration of expression recognition technology and product design. |
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