高在峰
教授
个人简介
高在峰, Ph.D. 研究经历 04/2017 教育部长江学者青年学者 01/2015- 教授,浙江大学心理系 09/2011-12/2014 特聘副研究员, 浙江大学心理系 10/2010-10/2011 Lady Davis Fellow, Hebrew University of Jerusalem, Israel 10/2009-10/2011 博士后, Hebrew University of Jerusalem, Israel 11/2008-08/2009 访问学生, Hebrew University of Jerusalem, Israel 09/2004-09/2009 研究生, 浙江大学心理系工业心理学国家专业室 研究领域 人机融合背后的高阶心智 (工作记忆、人机组队、自然交互) 采用心理物理法、脑成像、模拟仿真等技术手段,研究个体工作记忆的加工机制,及其在新型交互技术(如自动驾驶、自然)中的应用。 纵向基金支持 国家自然科学基金面上项目(32271090) 浙江省自然基金重点项目(LZ20C090001) 中央高校基本科研业务费专项资金 教学 认知科学 (2019-至今;竺可桢学院) 人类工效学(2012-至今) 高级工程心理学(2013-至今) 工程心理学与实验(2016-至今) 工程心理学(2013-2015) 工程心理学实验(2012-2015)
研究领域
认知心理学 工程心理学
工作记忆,生物运动,绑定,自动驾驶
近期论文
2024 Zaifeng Gao & Mowei Shen. (2024). Unraveling the binding problem in working memory: insights from the hierarchical binding model. Cognitive Processing. 25:97–104 [PDF] Hu, L., Gao, Z., Gao, Q. Wang, R. No enhancement of vestibular stimulation on visual working memory for actions. Scientific Reports, 14, 29351 (2024). [PDF] Gao, Q., Shi, Y., Luo, Y., Shen, M.(*), & Gao, Z. (*)(2024). Trust Calibration through Perceptive and Predictive Information in Autonomous Vehicle. Transportation Research Part F: Traffic Psychology and Behavior. 107, 537-548 [PDF] 许为 (*), 高在峰(*),葛列众 (2024). 智能时代的人因科学:研究范式和重点. 心理学报.56 (3): 363-382 [PDF] Xu, W., & Gao, Z. (2024). Applying HCAI in Developing Effective Human-AI Teaming: A Perspective from Human-AI Joint Cognitive Systems. Interaction. 31(1):32–37 [PDF] Gu Quan , Zhang Qikai , Han Yueming , Li Pengfei , Gao Zaifeng (*) , Shen Mowei (*). (2024). Microsaccades reflect attention shifts: a mini review of 20 years of microsaccade research. Frontiers in Psychology, 15. [PDF] Wu, J., Guo, Y. (*), Chen, Z., Shen, M. (*), & Gao, Z. (*). (2024). Dual Routes of Chunking Social Interaction: Insights from Grouping Two Agent Actions in Working Memory. Journal of Experimental Psycholgy: General,153(4):982-993 [PDF] Hu, L., Gao, Q., Zhang, L., Wen, Y., Gao, Z. (*), & Wang, R. (*). (2024). Working Memory Capacity for Biological Motion: A Virtual Reality Examination. Current Psychology. 43,17291–17299 [PDF] 2023 Gong, L., Guo, D., Gao, Z., (*), & Wei, K(*). (2023). Atypical Development of Social and Nonsocial Working Memory Capacity among Preschoolers with Autism Spectrum Disorders. Autism Research,16(2), 327-339.[PDF] Pan, H., Chen, Z., Jospe, K., Gao, Q.(*), Sheng, J., Gao, Z. (*), & Perry, A. (2023). Mood congruency affects physiological synchrony but not empathic accuracy in a naturalistic empathy task. Biological Psychology, 184, 108720. [PDF] Zhou, H., Su, C.,Wu, J., Li, J., Lu, X., Gong, L., Geng, F., Gao, Z., (*) & Hu, Y. (*). A Domain-general Frontoparietal Network interacts with Domain-preferential Intermediate Pathways to Support Working Memory. (2023). Cerebral Cortex.33(6):2774-2787 [PDF] Xu, W., Dainoff, M.J., Ge, L., Gao, Z. (2023). Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI, International Journal of Human–Computer Interaction, 39(3), 494–518 [PDF] Liang, J., Gao, Q., Li, W., Shi, Y., Shen, M.*, Gao, Z*. (2023). Personality Affects Dispositional Trust and History-based Trust in Different Ways. International Journal of Human-Computer Interaction, 39(4), 949–960[PDF] Gao, Q., Ma, Z., Gu, Q., Li, J., & Gao, Z.(*) (2023). Working Memory Capacity for Gesture-command Associations in Gestural Interaction. International Journal of Human–Computer Interaction.39(15), 3045–3056 [PDF] 2022 Guo, D., Wang, Y., Liao, Y., Li, J., Gao, Z.(*), Shen, M.(*), & He, J(*). (2022) Development of Information Integration in the Visual Working Memory of Preschoolers. Child Development. 93(6):1793-1803 [PDF] Lu, X., Dai, A., Guo, Y., Shen, M. (*), & Gao, Z (*). (2022). Is the social chunking of agent actions in working memory resource-demanding? Cognition, (229), 105249. [PDF] Gao, Z. (#, *), Li, j. (#), Wu, J., Dai. A., Liao, H., & Shen, M (*). (2022). Diverting the Focus of Attention in Working Memory Through a Perceptual Task. Journal of Experimental Psychology: Learning, Memory, and Cognition. 48(6), 876–905 [PDF] Gu, Q., Dai, A., Ye, T., Huang, B., Lu, X. (*), Shen, M. (*), & Gao, Z. (2022). Object-based Encoding in Visual Working Memory: A Critical Revisit. Quarterly Journal of Experimental Psychology. 75(8), 1397–1410. [PDF] Zhang, D., Shen, Y., Chen, Z., Guo, Y., Gao, Z., Huang, J., & Lu, X. (2022). Emotion Recognition Dysfunction After Anesthesia and Cardiac Surgery. Frontiers in Psychology. doi: 10.3389/fpsyg.2022.1001493 潘晗希, 郭杨, 高齐,许楠,陈泽锋,吴静岚,陈芝韵,盛槿滺,任沁源,高在峰. (2022) 共情准确性研究30年:回顾与展望.应用心理学. 28 (3): 255-269 [PDF] 郭羽熙, 袁小慧, 高在峰, 付锐, 孙港. (2022). 超速行为多通道告警及差异化矫正研究. 中国公路学报. 35(9), 26-37. [PDF] 邓芳, 张馨予, 郭羽熙, 梁佳文, 李文敏, 赵苑秀, 高在峰. (2022). 驾驶风险规避行为的塑造: 来自强化理论的解决思路. 应用心理学, 28 (6): 566-578 [PDF] 2021 Guo, Y., Liang, J., Yao, N., Shen, M. (*), & Gao, Z (*). (2021). Visual Working Memory Impairs Visual Detection: A Function of Working Memory Load or Sensory Load? Journal of Experimental Psychology: Human Perception and Performance. 47(12), 1659–1672 [PDF] Li, W., Wan, X., Shi, Y., Yao, N., Wang, C., & Gao, Z(*). (2021). Depth and Breadth of Pie Menus for Mid-air Gesture Interaction. International Journal of Human-Computer Interaction.37(2) 131-140 [PDF] Zhou, Y., Wu, F.,Wan, X., Shen, M.(*), & Gao, Z. (*) (2021). Does the Presence of More Features in a Bound Representation in Working Memory Require Extra Object-based Attention? Memory & Cognition. 49:1583-1599 [PDF] Chen, F., Ren, Q., Gao, Z., Wen, Z., & Yang, H. (2021). Unsettled issues in vehicle autonomy, artificial intelligence, and human-machine interaction. SAE Technical Paper. 许为,葛列众,& 高在峰 (2021) 人-人工智能交互:实现“以人为中心AI”理念的新兴跨学科领域. 智能系统学报 ,16(4), 605-621[PDF] 高在峰,李文敏,梁佳文,潘晗希,许为,& 沈模卫 (2021)自动驾驶车中的人机信任.心理科学进展, 29(12),2172-2183 [PDF] 2020 Wan, X., Zhou, Y., Wu, F., He, K., Shen, M.(*), Gao, Z(*). (2020) The role of attention in retaining the binding of integral features in working memory. Journal of Vision, 20(7):16, 1–22. doi:https://doi.org/10.1167/jov.20.7.16 [PDF] Guo, Y., Li, W., Lu, X., Xu, X., Qiu, F., Shen, M. (*), & Gao, Z (*). (2020). Emotional states affect the retention of biological motion in working memory. Emotion, 20(8):1446-1461. https://doi.org/10.1037/emo0000668 [PDF] Yao, N.(#), Guo, Y.(#), Liu, Y.(#), Shen, M.(*), & Gao, Z.(*). (2020) Visual working memory capacity load does not modulate distractor processing. Attention, Perception & Psychophysics, 82, 3291–3313 Data can be available at: https://osf.io/fns8a; Codes can be available at: https://osf.io/6rdz8 [PDF] He, K.(#), Li, J. (#), Wu, F., Wan, X., Gao, Z. (*), Shen, M(*). (2020). Object-based attention in retaining binding in working memory: Influence of activation states of working memory. Memory & Cognition, 48(6), 957-971 [PDF] Magen, H., Peelen, M., Emmanouil, T. A., Gao, Z. (2020) Editorial: Understanding the operation of visual working memory in rich complex visual context. Frontiers in Psychology-Cognition. [PDF] Gu, Q., Wan, X., Ma, H., Lu, X., Guo, Y., Shen, M.(*), & Gao, Z. (*) Event-based encoding of biological motion and location in visual working memory. (2020) Quarterly Journal of Experimental Psychology, 73(8),1261–1277 [PDF] Zhai, S., Ma, Y., Gao, Z., & He, J. (2020) Development of interactive biological motion perception in preschoolers and its relation to social competence. Social Development, 29:564–577[PDF] Zhang, D., Ying, J., Ma, X., Gao, Z., Chen, H., Zhu, S., Shi, L., & Lu, X. Social Cognitive Dysfunction in Elderly Patients after Anesthesia and Surgery. (2020) Frontiers in Psychology-Clinical https://doi.org/10.3389/fpsyg.2020.541161 Li, W., Yao, N., Shi, Y., Nie, W., Zhang, Y., Li, X., Liang, J., Chen, F. (*), & Gao, Z. (*). (2020) Openness personality predicts drivers' trust level of automated driving. Automotive Innovation, 3:3–13 [PDF]