目的 针对现有抑郁症康复设备因功能割裂、交互冷漠等造成的用户体验差、情感回应弱、使用依从性低等问题,探索一种以工业设计为主导、兼顾临床有效性与情绪关怀的产品改良设计策略,促进构建更贴近用户心理与行为特点的康复系统,提升患者对此类产品的接受度。方法 运用Kano模型与QFD方法,建立从多维心理需求识别到设计参数转化的系统工具链,引入冲突消解算法与“双螺旋结构模型”,在用户需求链与技术实现链之间建立动态耦合,建立“情绪感知-技术响应-动态调节”闭环,使产品方案随用户状态变化自适应迭代。结果 通过调研确诊用户、家庭医生与运维人员三类人群,提炼出操作简便性、隐私保护、情绪反馈等关键诉求,构建QFD权重矩阵与功能优先级排序,以Apple Watch App改良设计为例在微观交互层对该策略系统进行验证。结论 研究表明,“Kano-QFD-双螺旋”改良设计策略具有合理性和可迁移性,可为抑郁症康复设备、可穿戴产品及情感化交互系统设计提供支持,为“以用户情绪为核心”的产品创新提供了新的可行路径。
Abstract
Addressing issues of poor user experience, weak emotional response, and low compliance in existing depression rehabilitation devices due to fragmented functions and impersonal interactions, the work aims to explore a product improvement design strategy led by industrial design and integrating clinical effectiveness and emotional care, to facilitate the development of rehabilitation systems more aligned with users' psychological and behavioral characteristics and enhance patient acceptance of such products. The Kano model and QFD method were employed to establish a systematic toolchain from multidimensional psychological needs identification to design parameter translation. Conflict resolution algorithms and the "double helix structure model" were introduced, creating dynamic coupling between the user demand chain and the technical implementation chain, and establishing an"emotion perception-technical response-dynamic adjustment" closed loop, enabling product solutions to adapt iteratively according to users' state changes. Through surveys of diagnosed users, family physicians, and operation personnel, key requirements such as ease of use, privacy protection, and emotional feedback were identified. A QFD weight matrix and function priority ranking were constructed, and the strategy system was validated at the micro-interaction level with the Apple Watch App redesign as an example. The study demonstrates that the "Kano-QFD-double helix" improvement design strategy is reasonable and transferable, providing support for the design of depression rehabilitation devices, wearable products, and affective interaction systems, offering a new feasible path for "user emotion-centered" product innovation.
关键词
抑郁症康复产品 /
Kano-QFD模型 /
双螺旋结构模型 /
改良设计
Key words
depression rehabilitation products /
Kano-QFD model /
double helix structure model /
improved design
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参考文献
[1] 张伟, 李娜. 情绪识别与人机交互界面优化研究[J]. 计算机工程与应用, 2021, 57(10): 123-130.
ZHANG W, LI N.Research on Emotion Recognition and Optimization of Human-Computer Interaction Interface[J]. Computer Engineering and Applications, 2021, 57(10): 123-130.
[2] 冯利, 杨悦祎, 朱达辉. 针对抑郁症患者的智能可穿戴服饰产品研究进展[J]. 毛纺科技, 2024, 52(4): 124-131.
FENG L, YANG Y Y, ZHU D H.Research Progress of Intelligent Wearable Clothing Products for Patients with Depression[J]. Wool Textile Journal, 2024, 52(4): 124-131.
[3] NORMAN D A.Emotional Design: Why we Love (or Hate) Everyday Things[M]. New York: Basic Books, 2004.
[4] KANO N, SERAKU N, TAKAHASHI F, TSUJI S.Attractive Quality and Must-Be Quality[J]. Journal of the Japanese Society for Quality Control, 1984, 14(2): 39-48.
[5] 郑淑云, 许晓慧. 面向用户情绪的智能交互设计方法探析[J]. 设计, 2022(15): 60-62.
ZHENG S Y, XU X H.Analysis of user emotion-oriented intelligent interaction design methods[J]. Design, 2022(15): 60-62.
[6] PLUTCHIK R.A General Psychoevolutionary Theory of Emotion[M]//Theories of Emotion. Amsterdam: Elsevier, 1980: 3-33.
[7] 李莹, 沈蕊. 抑郁症患者对社交媒体健康信息社会影响的感知研究[J]. 北大新闻与传播评论, 2025(2): 155-171.
LI Y, SHEN R.A Study on Depressive Patients’Perception of the Negative Social Impact of Health Information on Social Media[J]. Journalism and Communication Review, 2025(2): 155-171.
[8] 杨潇, 刘新宇. 可穿戴设备中的情感化设计策略研究[J]. 包装工程, 2021, 42(10): 246-251.
YANG X, LIU X Y.Research on Emotional Design Strategies in Wearable Devices[J]. Packaging Engineering, 2021, 42(10): 246-251.
[9] 赵蓉英,周忠和. 科学与技术在心理健康干预中的交汇路径研究[J]. 中国科学基金, 2020, 34(6): 820-826.
ZHAO R Y, ZHOU Z H.Research on the Intersection Paths of Science and Technology in Mental Health Intervention[J]. Bulletin of National Natural Science Foundation of China, 2020, 34(6): 820-826.
[10] WATSON J D, CRICK F H C. Molecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic Acid[J]. Nature, 1953, 171(4356): 737-738.
[11] 陈建峰,林宙辰. 人工智能辅助心理诊断的伦理困境与技术展望[J]. 哲学研究, 2021(9): 56-64.
CHEN J F, LIN Y C.Ethical Dilemmas and Technological Prospects of Ai-Assisted Psychological Diagnosis[J]. Philosophical Research, 2021(9): 56-64.
[12] GAGGIOLI A, CIPRESSO P, SERINO S, et al.Wearable Technology for Stress Monitoring and Mental Health: Current Status and Future Challenges[J]. Journal of Biomedical Informatics, 2021, 117: 103766.
[13] 毛继东,韩东. QFD在医疗产品用户需求转化中的应用分析[J]. 医疗卫生装备, 2019, 40(6): 123-126.
MAO X D, HAN D.Application Analysis of QFD in the Transformation of User Requirements for Medical Products[J]. Chinese Medical Equipment Journal, 2019, 40(6): 123-126.
[14] 王诗瑶,王军. 面向心理康复的人机交互界面情感化设计研究[J]. 包装工程, 2022, 43(12): 235-240.
WANG S Y, WANG J.Research on Emotional Design of Human-computer Interaction Interface for Psychological Rehabilitation[J]. Packaging Engineering, 2022, 43(12): 235-240.
[15] 吴峥嵘, 李志强. 用户主观情绪对交互产品接受度影响的实证研究[J]. 工业设计, 2020(8): 95-98.
WU Z R, LI Z Q."An empirical study on the impact of users' subjective emotions on the acceptance of interactive products," Industrial Design, no. 8, pp. 95-98, 2020.
[16] 李秀红, 贾丽君. 智能手表在情绪识别与干预中的发展及挑战[J]. 医疗与健康装备, 2022, 43(5): 110-113.
LI X H, JIA L J.Development and Challenges of Smart Watches in Emotion Recognition and Intervention[J]. Medical and Health Equipment, 2022, 43(5): 110-113.
[17] 李红, 张志杰. 基于深度学习的情绪识别技术综述[J]. 软件学报, 2022, 33(4): 1425-1443.
LI H, ZHANG Z J.Review of Emotion Recognition Technology Based on Deep Learning[J]. Journal of Software, 2022, 33(4): 1425-1443.
[18] 陈曼曼, 胜利, 曲姗. 病人健康问卷在综合医院精神科门诊中筛查抑郁障碍的诊断试验[J]. 中国心理卫生杂志, 2015, 29(4): 241-245.
CHEN M M, SHENG L, QU S.Diagnostic Test of Screening Depressive Disorders in General Hospital with the Patient Health Questionnaire[J]. Chinese Mental Health Journal, 2015, 29(4): 241-245.
[19] 张蕾, 王峥嵘. 质量功能展开(QFD)在医疗器械设计中的应用探讨[J]. 医疗设备信息, 2020, 35(5): 16-18.
ZHANG L, WANG Z R.Discussion on the Application of Quality Function Deployment (QFD) in Medical Device Design[J]. Information of Medical Equipment, 2020, 35(5): 16-18.
[20] 刘嘉琳,李德明. 基于双螺旋模型的产品系统设计方法初探[J]. 机械设计, 2019, 36(11): 97-102.
LIU J L, LI D M.Preliminary Research on Product System Design Method Based on Double Helix Model[J]. Journal of Machine Design, 2019, 36(11): 97-102.
[21] WANG H B, LIU Y, ZHEN X X, et al.Depression Speech Recognition with a Three-Dimensional Convolutional Network[J]. Frontiers in Human Neuroscience, 2021, 15: 713823.
[22] HORNSTEIN S, ZANTVOORT K, LUEKEN U, et al.Personalization Strategies in Digital Mental Health Interventions: A Systematic Review and Conceptual Framework for Depressive Symptoms[J]. Frontiers in Digital Health, 2023, 5: 1170002.
[23] 刘梦洁,李冠男. 抑郁症干预中可穿戴技术的研究进展[J]. 中国医疗器械杂志, 2021, 45(4): 317-321.
LIU M J, LI G N.Research Progress of Wearable Technology in Depression Intervention[J]. Chinese Journal of Medical Devices, 2021, 45(4): 317-321.
[24] DEWA L H, et al.Technology and mental health: The role of wearables and connected devices in care[J]. Journal of Medical Internet Research, 2021, 23(3): e23917.
[25] MATTHEWS M, DOHERTY G.In the Mood: Engaging Teenagers in Psychotherapy Using Mobile Phones[C]//Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Vancouver: ACM, 2011: 2947-2956.
[26] 杨杰, 赵晓静. 多模态情绪识别技术在康复机器人中的应用探索[J]. 仪器仪表学报,2020, 41(7): 98-103.
YANG J, ZHAO X J.Application Exploration of Multimodal Emotion Recognition Technology in Rehabilitation Robots[J]. Chinese Journal of Scientific Instrument, 2020, 41(7): 98-103.