| 孙德强, 张俊仪, 时瑞浩. 车载信息娱乐系统发展及趋势研究[J]. 汽车电器, 2024(6): 39-41. |
| 魏兰柏, 李瑞. 基于fsQCA方法的车载多屏信息系统交互设计[J]. 工业设计, 2024(7): 24-27. |
| LI J Y, ZHANG W H, FENG Z X, et al. A Bibliometric Review of Driver Information Processing and Application Studies[J]. Journal of Traffic and Transportation Engineering (English Edition), 2023, 10(5): 787-807. doi: 10.1016/j.jtte.2023.05.004 |
| 周青, 姬佩君, 黄毅, 等. 未来交通事故场景中乘员智能保护的挑战与机遇[J]. 汽车安全与节能学报, 2017, 8(4): 333-350. |
| DIETZMANN C, DUAN Y. Artificial Intelligence for Managerial Information Processing and Decision-Making in the Era of Information Overload[C] // Proceedings of the 55th Hawaii International Conference on System Sciences. 2022: 5923-5932. |
| 李昊泽, 常若松, 隋雪. 交通标志中文字信息的识别及其神经机制[J]. 人类工效学, 2020, 26(5): 74-79. |
| 马钧, 柏玥. 基于情境引擎的车载导航交互设计研究[J]. 汽车工程, 2024, 46(1): 18-28. |
| WANG F, WANG K, HAN Y, et al. Influences of Design-Driven FMCG on Consumers' Purchase Intentions: A Test of S-O-R Model[J]. Humanities and Social Sciences Communications, 2024, 11: 852. doi: 10.1057/s41599-024-03362-1 |
| BROADBENT D P, D'INNOCENZO G, ELLMERS T J, et al. Cognitive Load, Working Memory Capacity and Driving Performance: A Preliminary fNIRS and Eye Tracking Study[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2023, 92: 121-132. doi: 10.1016/j.trf.2022.11.013 |
| JIN L S, GUO B C, JIANG Y Y, et al. Analysis on the Influencing Factors of Driving Behaviours Based on Theory of Planned Behaviour[J]. Advances in Civil Engineering, 2021, 2021: 6687674. doi: 10.1155/2021/6687674 |
| KAUFMAN R, COSTA J, KIMANI E. Effects of Multimodal Explanations for Autonomous Driving on Driving Performance, Cognitive Load, Expertise, Confidence, and Trust[J]. Scientific Reports, 2024, 14: 13061. doi: 10.1038/s41598-024-62052-9 |
| UNNI A, IHME K, JIPP M, et al. Assessing the Driver's Current Level of Working Memory Load with High Density Functional Near-Infrared Spectroscopy: A Realistic Driving Simulator Study[J]. Frontiers in Human Neuroscience, 2017, 11: 167. doi: 10.3389/fnhum.2017.00167 |
| TINGA A M, CLEIJ D, JANSEN R J, et al. Human Machine Interface Design for Continuous Support of Mode Awareness during Automated Driving: An Online Simulation[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2022, 87: 102-119. doi: 10.1016/j.trf.2022.03.020 |
| 姜立标, 倪毅强, 陈毅锋. 多芯片封装技术在汽车中的应用[J]. 汽车测试报告, 2025(4): 145-147. |
| MIKULA L, MEJÍA-ROMERO S, CHAUMILLON R, et al. Eye-Head Coordination and Dynamic Visual Scanning as Indicators of Visuo-Cognitive Demands in Driving Simulator[J]. PLoS One, 2020, 15(12): e0240201. doi: 10.1371/journal.pone.0240201 |
| WANG M J, LIAO Y, LYCKVI S L, et al. How Drivers Respond to Visual Vs. Auditory Information in Advisory Traffic Information Systems[J]. Behaviour & Information Technology, 2020, 39(12): 1308-1319. |
| JEONG H, LIU Y L. Modeling of Stimulus-Response Secondary Tasks with Different Modalities while Driving in a Computational Cognitive Architecture[C] //Driving Assessment Conference 2017. Iowa City: University of Iowa Libraries Publishing, 2017: 101-111. |
| 吴绍斌, 刘雪婷, 孙洪武. 使用车载信息装置对驾驶行为的影响研究[J]. 中国安全科学学报, 2018, 28(1): 14-19. |
| VELLENGA K, STEINHAUER H J, KARLSSON A, et al. Driver Intention Recognition: State-of-the-Art Review[J]. IEEE Open Journal of Intelligent Transportation Systems, 2022, 3: 602-616. doi: 10.1109/OJITS.2022.3197296 |
| ULAHANNAN A, CAIN R, THOMPSON S, et al. User Expectations of Partial Driving Automation Capabilities and Their Effect on Information Design Preferences in the Vehicle[J]. Applied Ergonomics, 2020, 82: 1029-1044. |
| 陈昊. 探究车联网信息对驾驶员视觉注意与驾驶行为的影响[D]. 北京: 清华大学, 2016. |
| LYU N C, XIE L, WU C Z, et al. Driver's Cognitive Workload and Driving Performance under Traffic Sign Information Exposure in Complex Environments: A Case Study of the Highways in China[J]. International Journal of Environmental Research and Public Health, 2017, 14(2): 203. doi: 10.3390/ijerph14020203 |
| LUO X H, GE Y, QU W N. The Association between the Big Five Personality Traits and Driving Behaviors: A Systematic Review and Meta-Analysis[J]. Accident Analysis & Prevention, 2023, 183: 106968. |
| TUFANO F, BAHADURE S W, TUFO M, et al. An Optimization Framework for Information Management in Adaptive Automotive Human-Machine Interfaces[J]. Applied Sciences, 2023, 13(19): 10687. doi: 10.3390/app131910687 |
| ZHU Y C, GENG Y K, HUANG R N, et al. Driving towards the Future: Exploring Human-Centered Design and Experiment of Glazing Projection Display Systems for Autonomous Vehicles[J]. International Journal of Human-Computer Interaction, 2024, 40(15): 4087-4102. doi: 10.1080/10447318.2023.2209836 |
| 沈瑜, 刘广辉, 马翾鹏, 等. 基于高斯混合-隐马尔可夫模型的驾驶意图识别[J]. 汽车技术, 2025(5): 22-28. |
| 孙丽璐, 张袁籽妍, 赵娟, 等. 有限理性决策理论下驾驶信息过载研究及应用[J]. 西南大学学报(自然科学版), 2024, 46(3): 168-177. doi: 10.13718/j.cnki.xdzk.2024.03.015 |
| SHARWOOD L N, MARTINIUK A, SARRAMI FOROUSHANI P, et al. Intentions and Willingness to Engage in Risky Driving Behaviour among High School Adolescents: Evaluating The Bstreetsmart Road Safety Programme[J]. Injury Prevention, 2023, 29(1): 1-7. doi: 10.1136/ip-2022-044571 |
| 周晓. AR-HUD辅助驾驶系统对驾驶行为影响的研究[D]. 武汉: 武汉理工大学, 2018. |
| YANG S Y, FERRIS T K. Supporting Multitracking Performance with Novel Visual, Auditory, and Tactile Displays[J]. IEEE Transactions on Human-Machine Systems, 2020, 50(1): 79-88. doi: 10.1109/THMS.2019.2947580 |
| HART S G. Nasa-Task Load Index (NASA-TLX); 20 Years Later[J]. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2006, 50(9): 904-908. doi: 10.1177/154193120605000909 |
| ARMITAGE S, RODWELL D, LEWIS I. Applying an Extended Theory of Planned Behaviour to Understand Influences on Safe Driving Intentions and Behaviours[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2022, 90: 347-364. doi: 10.1016/j.trf.2022.09.009 |
| MARTINUSSEN L M, HAKAMIES-BLOMQVIST L, MØLLER M, et al. Age, Gender, Mileage and the DBQ: The Validity of the Driver Behavior Questionnaire in Different Driver Groups[J]. Accident Analysis & Prevention, 2013, 52: 228-236. |
| DASH G, PAUL J. CB-SEM vs PLS-SEM Methods for Research in Social Sciences and Technology Forecasting[J]. Technological Forecasting and Social Change, 2021, 173: 121092. doi: 10.1016/j.techfore.2021.121092 |
| PODSAKOFF P M, MACKENZIE S B, LEE J Y, et al. Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies[J]. The Journal of Applied Psychology, 2003, 88(5): 879-903. doi: 10.1037/0021-9010.88.5.879 |
| BARON R M, KENNY D A. The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations[J]. Journal of Personality and Social Psychology, 1986, 51(6): 1173-1182. doi: 10.1037/0022-3514.51.6.1173 |
| ZIAKOPOULOS A, THEOFILATOS A, PAPADIMITRIOU E, et al. A Meta-Analysis of the Impacts of Operating In-Vehicle Information Systems on Road Safety[J]. IATSS Research, 2019, 43(3): 185-194. doi: 10.1016/j.iatssr.2019.01.003 |
| 李卓, 童先顺, 田慧溢, 等. 增强现实抬头显示器视觉解释类型对自动驾驶系统用户接受度的影响[J]. 图书情报知识, 2023, 40(2): 40-48. |
| 车敬上, 孙海龙, 肖晨洁, 等. 为什么信息过载损害决策? 基于有限认知资源的解释[J]. 心理科学进展, 2019, 27(10): 1758-1768. |
| SOLÍS-MARCOS I, KIRCHER K. Event-Related Potentials as Indices of Mental Workload While Using an In-Vehicle Information System[J]. Cognition, Technology & Work, 2019, 21: 55-67. |