设计思维的认知神经研究进展

葛仕钧; 孙远波; 崔因; 王晨曦

doi:10.19554/j.cnki.1001-3563.2025.14.001

PDF(831 KB)

包装工程（设计栏目） ›› 2025, Vol. 46 ›› Issue (14) : 1-8. DOI: 10.19554/j.cnki.1001-3563.2025.14.001

工业设计

设计思维的认知神经研究进展

葛仕钧¹, 孙远波^1,*, 崔因², 王晨曦³

作者信息 +

Neurocognitive Research on Design Thinking

GE Shijun¹, SUN Yuanbo^1,*, CUI Yin², WANG Chenxi³

Author information +

文章历史 +

摘要

目的综合评述设计思维的认知神经研究现状,为设计研究者开展相关实验提供方法论指导。方法采用主题分析法,对国内外近5年设计思维的认知神经相关文献进行梳理、归纳和分析。结果研究发现影响设计思维的关键因素包括设计师个体特征、设计问题类型、信息刺激和概念生成方法,从实验方法论角度探讨了实验构建要素、研究问题与脑成像技术的匹配、数据处理与分析以及研究局限性。结论认知神经科学为设计思维研究提供了重要的方法论,未来应整合社会科学、生理学和认知神经科学研究范式,探索新技术背景下的设计思维模型,并在实践层面上推进该方法在设计工具开发、流程优化和教育改革等领域的应用。

Abstract

The work aims to comprehensively review the neurocognitive research on design thinking, offering methodological guidance for design researchers in conducting cognitive experiments. Through thematic analysis, the relevant literature on design neurocognition from both Chinese and international sources in the past five years was reviewed, synthesized and analyzed. The key factors influencing design thinking were identified, including individual characteristics of designers, design question types, information stimuli, and generation method of concept. From an experimental methodology perspective, the experimental construction elements, the alignment of research questions with brain imaging techniques, and the data processing and research limitations were discussed. The neurocognition offers a valuable methodological approach for investigating design thinking. Future efforts should integrate social science, physiology, and neurocognitive paradigms to explore design thinking models in the context of emerging technologies. In practice, these methods should be applied to the development of design tools, process optimization, and educational reform, among other areas.

导出引用

葛仕钧, 孙远波, 崔因, 王晨曦. 设计思维的认知神经研究进展[J]. 包装工程（设计栏目）. 2025, 46(14): 1-8 https://doi.org/10.19554/j.cnki.1001-3563.2025.14.001

GE Shijun, SUN Yuanbo, CUI Yin, WANG Chenxi. Neurocognitive Research on Design Thinking[J]. Packaging Engineering. 2025, 46(14): 1-8 https://doi.org/10.19554/j.cnki.1001-3563.2025.14.001

中图分类号： TB482

参考文献

[1] LAWSON L.How Designers Think: The Design Process Demystified[M]. 2nd, ed. Oxford: Architectural Press, 1990.
[2] GERO J S, MILOVANOVIC J.A Framework for Studying Design Thinking through Measuring Designers' Minds, Bodies and Brains[J]. Design Science, 2020(6): 19.
[3] 李彦, 刘红围, 李梦蝶, 等. 设计思维研究综述[J]. 机械工程学报, 2017, 53(15): 1-20.
LI Y, LIU H W, LI M D, et al.Review on Research of Design Thinking[J]. Journal of Mechanical Engineering, 2017, 53(15): 1-20.
[4] HAY L, DUFFY A H B, MCTEAGUE C, et al. A Systematic Review of Protocol Studies on Conceptual Design Cognition: Design as Search and Exploration[J]. Design Science, 2017(3): 10.
[5] BALTERS S, WEINSTEIN T, MAYSELESS N, et al.Design Science and Neuroscience: A Systematic Review of the Emergent Field of Design Neurocognition[J]. Design Studies, 2023(84): 101148.
[6] HAY L, CASH P, MCKILLIGAN S.The Future of Design Cognition Analysis[J]. Design Science, 2020(6): 20.
[7] BORGIANNI Y, MACCIONI L.Review of the Use of Neurophysiological and Biometric Measures in Experimental Design Research[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2020, 34(2): 248-285.
[8] HU M, SHEALY T.Application of Functional Near-infrared Spectroscopy to Measure Engineering Decision-making and Design Cognition: Literature Review and Synthesis of Methods[J]. Journal of Computing in Civil Engineering, 2019, 33(6): 04019034.
[9] HAY L, DUFFY A H B, GILBERT S J, et al. Functional Magnetic Resonance Imaging (fMRI) in Design Studies: Methodological Considerations, Challenges, and Recommendations[J]. Design Studies, 2022(78): 101078.
[10] PAGE M J, MCKENZIE J E, BOSSUYT P M, et al.The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews[J]. The BMJ, 2021, 372(71): 1-8.
[11] FU L, ZHAO J, SUN J, et al.Everyday Creativity Is Associated With Increased Frontal Electroencephalography Alpha Activity During Creative Ideation[J]. Neuroscience, 2022(503): 107-117.
[12] LIU Y C, LIANG C.Design Exploration Predicts Designer Creativity: A Deep Learning Approach[J]. Cognitive Neurodynamics, 2020, 14(3): 291-300.
[13] ABRAHAM A, RUTTER B, BANTIN T, et al.Creative Conceptual Expansion: A Combined fMRI Replication and Extension Study to Examine Individual Differences in Creativity[J]. Neuropsychologia, 2018(118): 29-39.
[14] VIEIRA S L D S, BENEDEK M, GERO J S, et al. Brain Activity of Industrial Designers in Constrained and Open Design: The Effect of Gender on Frequency Bands[J] Journal of the Design Society, 2021(1): 571-580.
[15] NGUYEN T A, ZENG Y.A Physiological Study of Relationship Between Designer's Mental Effort and Mental Stress During Conceptual Design[J]. Computer-Aided Design, 2014(54): 3-18.
[16] GUO F, FANG C, LI M, et al.How Do Robot Touch Characteristics Impact Users' Emotional Responses: Evidence from ECG and fNIRS[J]. International Journal of Social Robotics, 2024, 16(3): 619-634.
[17] HERNANDEZ SIBO I P, GOMEZ CELIS D A, LIOU S. Exploring the Landscape of Cognitive Load in Creative Thinking: A Systematic Literature Review[J]. Educational Psychology Review, 2024, 36(1): 24.
[18] MANANDHAR U, HU M, MILOVANOVIC J, et al.Concept Maps Decrease Students' Neurocognitive Demand When Thinking About Engineering Problems[J]. Construction Research Congress, 2022(1): 244-253.
[19] MAYSELESS N, HAWTHORNE G, REISS A L.Real- life Creative Problem Solving in Teams: fNIRS Based Hyperscanning Study[J]. NeuroImage, 2019(203): 116161.
[20] KOWATARI Y, LEE S H, YAMAMURA H, et al.Neural Networks Involved in Artistic Creativity[J]. Human Brain Mapping, 2009, 30(5): 1678-1690.
[21] VIEIRA S, GERO J S, DELMORAL J, et al.The Neurophysiological Activations of Mechanical Engineers and Industrial Designers While Designing and Problem-Solving[J]. Design Science, 2020(6): e26.
[22] YIN Y, HAN J, CHILDS P R N. An EEG Study on Artistic and Engineering Mindsets in Students in Creative Processes[J]. Scientific Reports, 2024, 14(1): 13364.
[23] SAGGAR M, QUINTIN E M, BOTT N T, et al.Changes in Brain Activation Associated with Spontaneous Improvization and Figural Creativity After Design- Thinking-Based Training: A Longitudinal fMRI Study[J]. Cerebral Cortex, 2016, 27: 3542-3552
[24] HU M, SHEALY T, MILOVANOVIC J.Cognitive Differences Among First-Year and Senior Engineering Students When Generating Design Solutions with and without Additional Dimensions of Sustainability[J]. Design Science, 2021, 7(e1): 1-30.
[25] SHEALY T, GROHS J, HU M, et al.Investigating Design Cognition During Brainstorming Tasks with Freshmen and Senior Engineering Students Using Functional Near Infrared Spectroscopy[C]// Proceedings of the 2017 ASEE Annual Conference & Exposition Proceedings. Columbus: ASEE Conferences, 2017: 28584.
[26] YAO S N, LIN C T, KING J T, et al.Learning in the Visual Association of Novice and Expert Designers[J]. Cognitive Systems Research, 2017(43): 76-88.
[27] HAY L, DUFFY A H B, GILBERT S J, et al. The Neural Correlates of Ideation in Product Design Engineering Practitioners[J]. Design Science, 2019, 5(e29): 1-23.
[28] ALEXIOU K, ZAMENOPOULOS T, GILBERT S.Imaging the Designing Brain: A Neurocognitive Exploration of Design Thinking[M]. Design Computing and Cognition'10. Dordrecht: Springer Netherlands, 2011: 489-504.
[29] GILBERT S J, ZAMENOPOULOS T, ALEXIOU K, et al.Involvement of Right Dorsolateral Prefrontal Cortex in Ill-Structured Design Cognition: An fMRI Study[J]. Brain Research, 2010, 1312: 79-88.
[30] LIU L, LI Y, XIONG Y, et al.An EEG Study of the Relationship Between Design Problem Statements and Cognitive Behaviors During Conceptual Design[J]. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2018, 32(3): 351-362.
[31] DYBVIK H, ABELSON F G, AALTO P, et al.Inspirational Stimuli Improve Idea Fluency During Ideation: A Replication and Extension Study with Eye-Tracking[J]. Proceedings of the Design Society, 2022, 2: 861-870.
[32] GOUCHER-LAMBERT K, MOSS J, CAGAN J.A Neuroimaging Investigation of Design Ideation with and without Inspirational Stimuli—Understanding the Meaning of Near and Far Stimuli[J]. Design Studies, 2019(60): 1-38.
[33] SUN L, XIANG W, CHAI C, et al.Impact of Text on Idea Generation: An Electroencephalography Study[J]. International Journal of Technology and Design Education, 2013, 23(4): 1047-1062.
[34] CHEN Q, BEATY R E, CUI Z, et al.Brain Hemispheric Involvement in Visuospatial and Verbal Divergent Thinking[J]. NeuroImage, 2019(202): 116065.
[35] FU K K, SYLCOTT B, DAS K.Using fMRI to Deepen Our Understanding of Design Fixation[J]. Design Science, 2019(5): 22.
[36] FINK A, GRABNER R H, GEBAUER D, et al.Enhancing Creativity by Means of Cognitive Stimulation: Evidence from an fMRI Study[J]. Neuroimage, 2010, 52(4): 1687-1695.
[37] LIANG C, LIU Y C.Effect of Musical Stimuli on Design Thinking: Differences Between Expert and Student Designers[J]. Cogent Psychology, 2018, 5(1): 1510298.
[38] 袁萍, 熊艳, 李彦, 等. 基于EEGα波活动探究信息激励距离对产品设计思维的影响[J]. 机械工程学报, 2017, 53(15): 40-48.
YUAN P, XIONG Y, LI Y, et al.An Exploration into the Influence of Stimulation Distance of Stimulus Information on Design Thinking based on EEG Alpha Activity[J]. Journal of Mechanical Engineering, 2017, 53(15): 40-48.
[39] 李梦蝶, 熊艳, 李彦, 等. 基于EEG探索刺激条件下设计中的顿悟现象[J]. 机械, 2019, 46(1): 1-6.
LI M D, XIONG Y, LI Y, et al.EEG Study of Insight in Stimulated Design Problem Solving[J]. Machinery, 2019, 46(1): 1-6.
[40] SHEALY T, HU M, GERO J.Patterns of Cortical Activation When Using Concept Generation Techniques of Brainstorming, Morphological Analysis, and TRIZ[C]// Proceedings of the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Quebec City: American Society of Mechanical Engineers, 2018: 86272.
[41] MILOVANOVIC J, HU M, SHEALY T, et al.Temporal Dynamics of Brain Activation During Three Concept Generation Techniques[J]. Journal of the Design Society, 2021(1): 2961-2970.
[42] MILOVANOVIC J, HU M, SHEALY T, et al.Characterization of Concept Generation for Engineering Design Through Temporal Brain Network Analysis[J]. Design Studies, 2021(76): 101044.
[43] MILOVANOVIC J, HU M, SHEALY T, et al.Evolution of Brain Network Connectivity in the Prefrontal Cortex During Concept Generation Using Brainstorming for a Design Task[C]// ASME 2020 International Design Engineering Technical Conference and Computers and Information in Engineering Conference. Virtual: American Society of Mechanical Engineers, 2020: 22563.
[44] SHEALY T, GERO J, HU M, et al.Concept Generation Techniques Change Patterns of Brain Activation During Engineering Design[J]. Design Science, 2020, 6(e31): 1-27.
[45] SHEALY T, GERO J.The Neurocognition of Three Engineering Concept Generation Techniques[C]// Proceedings of the Design Society: International Conference on Engineering Design. London: Design Society, 2019: 1833-1842.
[46] MILOVANOVIC J, HU M, SHEALY T, et al.Exploration of the Dynamics of Neuro-Cognition During TRIZ[C]// Volume 6: 33rd International Conference on Design Theory and Methodology (DTM). Virtual: American Society of Mechanical Engineers, 2021: V006T06A012.
[47] 胡莹, 白一茗, 周子涵, 等. 设计思维的捕捉、认知与解读[J]. 装饰, 2022(5): 78-83.
HU Y, BAI Y M, ZHOU Z H, et al.Capturing, Cognition and Interpretation of Design Thinking[J]. Zhuangshi, 2022(5): 78-83.
[48] 林郁泓, 叶超群, 刘春雷. 创造性思维的认知神经机制: 基于EEG和fMRI研究证据[J]. 心理研究, 2021, 14(2): 107-117.
LIN Y H, YE C Q, LIU C L.The Cognitive and Neural Mechanism of Creative Thinking: From EEG and fMRI Evidences[J]. Psychological Research, 2021, 14(2): 107-117.
[49] HU L, SHEPLEY M M.Design Meets Neuroscience: A Preliminary Review of Design Research Using Neuroscience Tools[J]. Journal of Interior Design, 2022, 47(1): 31-50.
[50] STEVENS C E, ZABELINA D L.Classifying Creativity: Applying Machine Learning Techniques to Divergent Thinking EEG Data[J]. NeuroImage, 2020(219): 116990.
[51] 范亮艳, 范晓芳, 罗位超, 等. 艺术设计中创造性思维的fMRI研究:一项基于智能CAD的探索[J]. 心理学报, 2014, 46(4): 427-436.
FAN L Y, FAN X F, LUO W C, et al.An Explorative fMRI Study of Human Creative Thinking Using A Specially Designed iCAD System[J]. Acta Psychologica Sinica, 2014, 46(4): 427-436.
[52] 刘宝根, 周兢, 李菲菲. 脑功能成像的新方法——功能性近红外光谱技术(fNIRS)[J]. 心理科学, 2011, 34(4): 943-949.
LIU B G, ZHOU J, LI F F.Functional Near-Infrared Spectroscopy : An Emerging Functional Neuroimaging Technology[J]. Psychological Science, 2011, 34(4): 943-949.
[53] CHRYSIKOU E G.Creativity in and out of (Cognitive) Control[J]. Current Opinion in Behavioral Sciences, 2019(27): 94-99.
[54] 骆睿鹏, 冯铭科, 黄鑫, 等. 脑电信号预处理方法研究综述[J]. 电子科技, 2023, 36(4): 36-43.
LUO R P, FENG M K, HUANG X, et al.A Review of Research on EEG Signal Preprocessing Methods[J]. Electronic Science and Technology, 2023, 36(4): 36-43.
[55] ASADI A R.LLMs in Design Thinking: Autoethnographic Insights and Design Implications[C]// Proceedings of the 2023 The 5th World Symposium on Software Engineering (WSSE). Tokyo: ACM, 2023: 55-60.
[56] HUANG J, ZHANG X, TANG Y.Research on Ideation Process and Design Productivity of ChatGPT Based on LASSO and Linkography[C]// Proceedings of the 2023 16th International Symposium on Computational Intelligence and Design (ISCID). Hangzhou: IEEE, 2023: 184-187.
[57] BOUCSEIN W.Electrodermal Activity[M]. Boston: Springer, 2012.
[58] KUŠKA M, TRNKA R, MANA J, et al. Emotional Creativity: A Meta-Analysis and Integrative Review[J]. Creativity Research Journal, 2020, 32(2): 151-160.
[59] DORST K, CROSS N.Creativity in the Design Process: Co-Evolution of Problem-Solution[J]. Design Studies, 2001, 22(5): 425-437.
[60] MAHER M L.A Model of Co-Evolutionary Design[J]. Engineering with Computers, 2000, 16(3): 195-208.
[61] 周子洪, 周志斌, 张于扬, 等. 人工智能赋能数字创意设计:进展与趋势[J]. 计算机集成制造系统, 2020, 26(10): 2603-2614.
ZHOU Z H, ZHOU Z B, ZHANG Y Y, et al.Artificial Intelligence Empowering Digital Creative Design: Today and Its Future[J]. Computer Integrated Manufacturing Systems, 2020, 26(10): 2603-2614.
[62] ABENNA S, NAHID M, BAJIT A.Motor Imagery Based Brain-Computer Interface: Improving the EEG Classification Using Delta Rhythm and LightGBM Algorithm[J]. Biomedical Signal Processing and Control, 2022(71): 103102.
[63] VILLANUEVA I, CAMPBELL B D, RAIKES A C, et al.A Multimodal Exploration of Engineering Students' Emotions and Electrodermal Activity in Design Activities[J]. Journal of Engineering Education, 2018, 107(3): 414-441.