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顾振宇
教授
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        顾振宇 博士,设计系教授,博士生导师。交互设计研究所所长,中国工业设计协会信息和交互设计专委会执行主任。研究方向为交互设计、智能与计算设计、实验美学。在设计计算和人机交互领域国际学报和会议发表论文50多篇。在美学计算方面的研究工作被国际同行引用数百次。所提出的一系列数据驱动的体验优化方法被越来越多地应用于产品的优化迭代。主持和参与多项国家和知名企业委托研究课题。
        1994年8月本科毕业于无锡轻工业学院工业设计系工业设计专业,并留校任教。
        2000年8月-2002年7月,为香港理工大学工业中心助理研究员及企业发展院(IofE)产品设计课程讲师。
        2002年8月-2006年8月为香港理工大学设计学系博士生。
        2006年4月任江南大学设计系副教授。
        2009年1月,任上海交通大学设计系特别研究员。
        2016年8月,任上海交通大学设计系教授。

个人研究兴趣:

  • 交互设计(Interaction Design):互动产品与系统的设计创新;社会技术系统体验设计的理论与方法。
  • 计算设计(Computational Design):生成设计、美学计算、空间计算; AI 赋能设计,设计启发AI。
  • 实验美学(Exprimental Aesthetics):心理物理方法(眼动、脑电、fMRI等)+ 数据科学探究人类体验的规律和机制。

欢迎对设计、计算、美学感兴趣的同学报读本人硕博研究生,申请博士后、专职科研岗位。

2013,2016年度优秀毕业设计指导教师

HW 2012实验室合作研究杰出贡献奖

顾振宇著:《交互设计-原理与方法》;清华大学出版社,2016/11,ISBN:9787302450535

selected papers:
Interaction Design交互设计):
[1] Fangyuan Chang, Bingliang Chen, Xingguo Zhang, Lin Sheng, Dian Zhu, Jianan Zhao, Zhenyu GU*, Crossmodal Interactions in Human-Robot Communication:Exploring the Influences of Scent and Voice Congruence. in Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. 2025
[2] Fangyuan Chang, Gubing Wang, and Zhenyu GU*, Navigating Challenges and Opportunities in Community-Based Interventions for Promoting Active Aging: A Systematic Review of the Roles of Technology. Innovation in Aging, 2024. 8(10): p. igae077.
[3] Fangyuan Chang, Lin Sheng, and Zhenyu GU*, Investigating the Integration and the Long-Term Use of Smart Speakers in Older Adults’ Daily Practices: Qualitative Study. JMIR mHealth and uHealth, 2024. 12: p. e47472.
[4] Fangyuan Chang, Zhenyu GU, Zhonghao Shi, Wei Tang, Advancing Cattle Health Monitoring through ACI-Driven Wearable Sensor Technology: A Case Study of Leg-Worn System Development. in Proceedings of the Tenth International Conference on Animal-Computer Interaction. 2023.
[5] Zhepeng Rui, Zhenyu GU, Caitilin de Bérigny , Meditation Based Brain Painting Promoting Foreign Language Memory through Establishing a Brain-Computer Interface. Int. J. Cognit. Lang. Sci., 2022. 16(10): p. 402-410.
[6] Xinyu Zhu, Xingguo Zhang, Zina Chen, Zhanxun Dong, Zhenyu Gu, Danni Chang, The trusted listener: the influence of anthropomorphic eye design of social robots on user's perception of trustworthiness. in Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 2022.
[7] Jiaohui Li and Zhenyu GU, Orpheus: A Voice-Controlled Game to Train Pitch Matching. in International Conference on Human-Computer Interaction. 2021. Springer.

Computational Design设计计算):
[8] Lin Sheng, Cheng Deng, Fangyuan Chang, Qinghua Sun, Hongyu Liu, Zhenyu Gu, A Language Model as a Design Assistant for UI Design Recommendation and Evaluation, in ECAI 2024. 2024, IOS Press. p. 3821-3827.
[9] Qinhua Sun, Jia Cui, and Zhenyu Gu, Extending CLIP for Text-to-font Retrieval. in Proceedings of the 2024 International Conference on Multimedia Retrieval. 2024.
[10] Lin Sheng, Zhenyu Gu, Fangyuan Chang, A novel integration strategy for uncertain knowledge in group decision-making with artificial opinions: A DSFIT-SOA-DEMATEL approach. Expert Systems with Applications, 2024. 243: p. 122886.
[11] 孙清华, 邓程, 顾振宇, 结合词向量和自注意力机制的设计素材推荐系统. 计算机辅助设计与图形学学报.2024.36(1).p.63
[12] Jia Cui, Hao Jiang, Meng Qi, Zhenyu Gu, Hongju Lu, SMART: Supervised multi-class image retargeting generative model based on a long-range sampling strategy. Digital Signal Processing, 2024. 154: p. 104659.
[13] Jia Cui, Mengwei Zang, Zhen Liu, Meng Qi, Rong Luo, Zhenyu Gu and Hongju Lu, BIM product style classification and retrieval based on long-range style dependencies. Buildings, 2023. 13(9): p. 2280.
[14] J. Cui, Y.Q. Liu, , H.J. Lu , Q.Q. Cai, M.X. Tang, M. Qi, Z.Y. Gu, PortraitNET: photo-realistic portrait cartoon style transfer with self-supervised semantic supervision. Neurocomputing, 2021. 465: p. 114-127.
[15] Danni Chang, Zhenyu Gu, Fan Li, Rong Jiang, A user-centric smart product-service system development approach: A case study on medication management for the elderly. Advanced Engineering Informatics, 2019. 42: p. 100979.
[16] Zhenyu Gu and Jian Lou, Data driven webpage color design. Computer-Aided Design, 2016. 77: p. 46-59.
[17] Zhenyu Gu, Ming Xi Tang, and John Hamilton Frazer, Capturing aesthetic intention during interactive evolution. Computer-Aided Design, 2006. 38(3): p. 224-237.

Experimental Aesthetics实验美学):
[18] Zhepeng Rui, Yahong Li, Zhanxun Dong, Lingyu Hao, Bingliang Chen, Fangyuan Chang, Zhenyu Gu, EEG, EOG, Likert scale, and interview approaches for assessing stressful hazard perception scenarios. International Journal of Human–Computer Interaction, 2024: p. 1-26.
[19] Zhepeng Rui and Zhenyu Gu, Use of event-related potentials to assess visual–auditory multisensory information in the decision-making processes related to fast-consuming behavior. International Journal of Human–Computer Interaction, 2024. 40(22): p. 7019-7042.
[20] Abrar Afzal and Zhenyu Gu, Neuro-Fusion: A Unified Approach for Cognitive Workload Classification Using Electroencephalogram (EEG) Data. 2024.
[21] Abrar Afzal, Zhenyu Gu, Bilal Afzal, Syed Umer Bukhari, Cognitive Workload Classification in Industry 5.0 Applications: Electroencephalography-Based Bi-Directional Gated Network Approach. Electronics, 2023. 12(19): p. 4008.
[22] Zhepeng Rui, Danni Chang, and Zhenyu Gu, Event-related potential and oscillatory cortical activities of artistic methodology in information visualization design in human–computer interface. International Journal of Human-Computer Studies, 2023. 177: p. 103066.
[23] Zhepeng Rui and Zhenyu Gu, A review of EEG and fMRI measuring aesthetic processing in visual user experience research. Computational intelligence and neuroscience, 2021. 2021(1): p. 2070209.
[24] Zhenyu Gu, Chenhao Jin, Danny Chang, Liqun Zhang, Predicting webpage aesthetics with heatmap entropy. Behaviour & information technology, 2021. 40(7): p. 676-690.
[25] Zhenyu Gu, Zhanwei Wu, Jiamin Yu, Jian Lou, (2013). A Color Schemer for Webpage Design Using Interactive Mood Board, Human-Computer Interaction. Springer, Lecture Notes in Computer Science Volume 8004, pp 555-564


DES9201 交互设计原理与方法
DES8205 智能与交互

纵向:

  1. 教育部社科:基于信息技术的居家养老服务体验优化策略(11YJCZH044)
  2. GF基金专项:音视频通讯关键技术的可视化 (11GFZ-HT01-010)
  3. 上海市数字媒体处理与传输重点实验室课题:图像中物体跟踪及人机交互应用(11DZ2272600-2011KF01)
  4. 中国工程院重大咨询项目:创新设计发展战略研究(2013-ZD-5)子课题
  5. 中残联专项:视觉障碍人群日常服药管理信息产品设计研究(2022CDPFAT-09)

横向:

  1. 基于LLM的概念原型生成技术合作项目 
  2. 图像素材设计知识图谱构建技术合作项目
  3. 视听触多感官人因研究 
  4. 智能驾驶用户体验量化评估
  5. 手机触控用户体验测试方法与最优化模型技术合作项目
  6. 多感官全场景空间体验实验研究技术合作项目
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