基于FTA-CREAM的老年人智能汽车多模态交互设计研究

蔡怡欣; 李永锋; 朱丽萍

doi:10.19554/j.cnki.1001-3563.2026.06.003

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包装工程（设计栏目） ›› 2026, Vol. 47 ›› Issue (6) : 18-30. DOI: 10.19554/j.cnki.1001-3563.2026.06.003

工业设计

基于FTA-CREAM的老年人智能汽车多模态交互设计研究

蔡怡欣, 李永锋^*, 朱丽萍

作者信息 +

Multimodal Interaction Design of Intelligent Cars for the Elderly Based on FTA-CREAM

CAI Yixin, LI Yongfeng^*, ZHU Liping

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文章历史 +

摘要

目的降低老年人驾驶智能汽车进行多模态交互时的风险,提升老年人的用户体验。方法提出基于FTA（故障树分析）和CREAM（认知可靠性与失误分析方法）的老年人智能汽车多模态交互设计方法。首先,对老年人多模态交互过程进行情境分析;其次,开展层次任务分析,探究CREAM的通用性能条件和情境影响指数确定各子任务的控制模式,获取子任务的认知失效概率;再次,建立老年人多模态交互故障树,通过定性分析得出最小割集,将子任务认知失效概率作为故障树的基本事件概率,计算故障树的顶事件概率,并对基本事件的重要度进行排序;最后,根据排序结果,从认知因素、生理条件和技术接受性三个维度出发,制定改良措施,进行设计改良,并对结果进行验证。结果有效降低了老年人的驾驶活动负荷,减少了多模态交互风险。结论所提出的方法可以有效地对老年人智能汽车多模态交互进行风险评估,合理地分析差错行为产生的原因,从而改良交互设计,使老年人获得更好的交互体验。

Abstract

The work aims to reduce risks and improve user experience for elderly drivers during multimodal interaction with intelligent cars. A multimodal interaction design method based on FTA (Fault Tree Analysis) and CREAM (Cognitive Reliability and Failure Analysis Method) was proposed for intelligent cars for the elderly. Firstly, a contextual analysis of the multimodal interaction process of the elderly was conducted. Then, a hierarchical task analysis was carried out to explore the generalized performance conditions and contextual influence indices of CREAM to determine the control modes of the subtasks, and obtain the cognitive failure probabilities of the subtasks. Next, a fault tree of multimodal interaction of the elderly was established to derive the minimum cut-off set through qualitative analysis, and the probability of the cognitive failure of the subtasks was taken as the basic event of the fault tree probability to calculate the top event probability of the fault tree, and rank the importance of the basic events. Finally, based on the ranking results, the improvement measures were formulated from three dimensions of cognitive factors, physiological conditions, and technology acceptance to carry out design improvement, and the results were verified. The driving activity load of the elderly was effectively reduced, and the multimodal interaction risk was reduced. The proposed method can effectively assess risks in multimodal interaction between elderly users and intelligent cars and reasonably analyze the causes of erroneous behaviors, thereby improving interaction design and enabling elderly users to achieve a better interaction experience.

导出引用1

蔡怡欣, 李永锋, 朱丽萍. 基于FTA-CREAM的老年人智能汽车多模态交互设计研究[J]. 包装工程. 2026, 47(6): 18-30 https://doi.org/10.19554/j.cnki.1001-3563.2026.06.003

CAI Yixin, LI Yongfeng, ZHU Liping. Multimodal Interaction Design of Intelligent Cars for the Elderly Based on FTA-CREAM[J]. Packaging Engineering. 2026, 47(6): 18-30 https://doi.org/10.19554/j.cnki.1001-3563.2026.06.003

中图分类号： TB472

参考文献

[1] 黄建中, 马煜箫, 胡刚钰. 基于健康视角的老年人出行行为研究进展[J]. 科技导报, 2020, 38(7):69-75.
HUANG J Z, MA Y X, HU G Y.A Review of Research on Travel Behaviors of the Elderly from a Health Perspective[J]. Science & Technology Review, 2020, 38(7):69-75.
[2] PADEN B, ČÁP M, YONG S Z, et al. A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles[J]. IEEE Transactions on Intelligent Vehicles, 2016, 1(1):33-55.
[3] 王敏, 孙玉灵. 人机交互领域中面向老年群体的对话智能体研究现状综述[J]. 计算机应用与软件, 2024, 41(3):1-8.
WANG M, SUN Y L.A Review of Current Research on Conversational Intelligences for the Elderly in the Field of human-Computer Interaction[J]. Computer Applications and Software, 2024, 41(3):1-8.
[4] 魏婷. 多模态交互情境下的智能车载产品用户体验设计方法研究[D]. 西安:陕西科技大学, 2023.
WEI T.Research on the Design Method of User Experience of Intelligent Vehicle Products under Multi-Modal Interaction Context[D]. Xi’an:Shaanxi University of Science & Technology, 2023.
[5] KIM M, SEONG E, JWA Y, et al.A Cascaded Multimodal Natural User Interface to Reduce Driver Distraction[J]. IEEE Access, 2020, 8:112969-112984.
[6] ROIDER F, RÜMELIN S, PFLEGING B, et al. Investigating the Effects of Modality Switches on Driver Distraction and Interaction Efficiency in the Car[J]. Journal on Multimodal User Interfaces, 2019, 13(2):89-97.
[7] 王畅, 张岩, 赵晨, 等. 新型全触屏人机交互模式对驾驶风险的影响特性[J]. 科学技术与工程, 2023, 23(22):9673-9679.
WANG C, ZHANG Y, ZHAO C, et al.Influence Characteristics of New Full Touch Screen Human-Machine Interaction Mode on Driving Risk[J]. Science Technology and Engineering, 2023, 23(22):9673-9679.
[8] 蔡萌亚, 王文丽. 汽车智能座舱交互设计研究综述[J]. 包装工程, 2023, 44(6):430-440.
CAI M Y, WANG W L.Review of Interaction Design in Automotive Intelligent Cockpit[J]. Packaging Engineering, 2023, 44(6):430-440.
[9] 耿秀丽, 潘亚虹. 考虑用户体验的产品服务系统模块重要度判定方法[J]. 计算机集成制造系统, 2020, 26(5):1295-1303.
GENG X L, PAN Y H.Importance Degree Determination Approach for Product Service System Modules Based on User Experience[J]. Computer Integrated Manufacturing Systems, 2020, 26(5):1295-1303.
[10] YAZDI M, MOHAMMADPOUR J, LI H, et al.Fault Tree Analysis Improvements:A Bibliometric Analysis and Literature Review[J]. Quality and Reliability Engineering International, 2023, 39(5):1639-1659.
[11] SOKUKCU M, SAKAR C.Risk Analysis of Collision Accidents during Underway STS Berthing Maneuver through Integrating Fault Tree Analysis (FTA) into Bayesian Network (BN)[J]. Applied Ocean Research, 2022, 126:103290.
[12] XIAO Q, LI Y P, LUO F, et al.Analysis and Assessment of Risks to Public Safety from Unmanned Aerial Vehicles Using Fault Tree Analysis and Bayesian Network[J]. Technology in Society, 2023, 73:102229.
[13] CHEN M Q, QU R, FANG W G.Case-Based Reasoning System for Fault Diagnosis of Aero-Engines[J]. Expert Systems with Applications, 2022, 202:117350.
[14] 赵传洋, 刘红兵, 蒋哲,等. 基于故障树的浮式风机系泊系统失效风险分析[J]. 哈尔滨工程大学学报, 2023, 44(08):1263-1269.
ZHAO C Y, LIU H B, JIANG Z, et al.Failure Risk Analysis of Floating Offshore Wind Turbine Mooring Systems Based on the Fault Tree Method[J]. Journal of Harbin Engineering University, 2023, 44(8):1263-1269.
[15] BORYCZKO K, SZPAK D, ŻYWIEC J, et al.The Use of a Fault Tree Analysis (FTA) in the Operator Reliability Assessment of the Critical Infrastructure on the Example of Water Supply System[J]. Energies, 2022, 15(12):4416.
[16] 陈嘉慧, 米洁, 张胜伦, 等. 基于故障树和贝叶斯网络的履带车辆行星变速机构可靠性分析[J]. 机械强度, 2024, 46(1):129-135.
CHEN J H, MI J, ZHANG S L, et al.Reliability Analysis of Tracked Vehicle Planetary Transmission Mechanism Based on Fault Tree and Bayesian Network[J]. Journal of Mechanical Strength, 2024, 46(1):129-135.
[17] LIU J F, LI Y L, MA X M, et al.FaultTreeAnalysisUsingBayesian Optimization:AReliableandEffective Fault Diagnosis Approaches[J]. Journal of Failure Analysis and Prevention, 2021, 21(2):619-630.
[18] YIN H L, LIU C H, WU W, et al.Safety Assessment of Natural Gas Storage Tank Using Similarity Aggregation Method Based Fuzzy Fault Tree Analysis (SAM-FFTA) Approach[J]. Journal of Loss Prevention in the Process Industries, 2020, 66:104159.
[19] 张力, 胡鸿. 大型复杂人-机-环境系统中的人因可靠性[M]. 北京:国防工业出版社, 2024.
ZHANG L, HU H.Human Reliability in Large Complex Man-Machine-Environment Systems[M]. Beijing:National Defense Industry Press, 2024.
[20] 施金斌, 刘晓佳, 马国旺, 等. 基于改进认知可靠性与失误分析方法的隧道驾驶人因可靠性分析模型[J]. 科学技术与工程, 2023, 23(25):10983-10989.
SHI J B, LIU X J, MA G W, et al.Human Reliability Analysis Model for Tunnel Driving Based on Improved CREAM Method[J]. Science Technology and Engineering, 2023, 23(25):10983-10989.
[21] UNG S T.Evaluation of Human Error Contribution to Oil Tanker Collision Using Fault Tree Analysis and Modified Fuzzy Bayesian Network Based CREAM[J]. Ocean Engineering, 2019, 179:159-172.
[22] PEI H N, GONG H, BAI Z H, et al.A Human Factor Reliability Analysis Method for Maritime Transport Based on an Improved CREAM Model and Group Decision-Making[J]. Ocean Engineering, 2024, 293:116664.
[23] SHI H, WANG J H, ZHANG L, et al.New Improved CREAM Model for Human Reliability Analysis Using a Linguistic D Number-Based Hybrid Decision Making Approach[J]. Engineering Applications of Artificial Intelligence, 2023, 120:105896.
[24] LIU X, LIU Z, LIN K C, et al.Evaluation of the Operation Process of Medical Equipment to Enhance Ergonomic Reliability Based on FRAM-Moran’s I and CREAM[J]. Applied Sciences, 2022, 12(1):200.
[25] UNG S T.Human Error Assessment of Oil Tanker Grounding[J]. Safety Science, 2018, 104:16-28.
[26] 许娜, 卢佳烨. 基于安全和情感化的汽车辅助驾驶系统多模态交互设计研究综述[J]. 汽车工程学报, 2024, 14(3):336-353.
XU N, LU J Y.A Review of Multi-Modal Interaction Design for Assisted Driving Systems Based on Safety and Affectivity[J]. Chinese Journal of Automotive Engineering, 2024, 14(3):336-353.
[27] AZOFEIFA J D, NOGUEZ J, RUIZ S, et al.Systematic Review of Multimodal Human-Computer Interaction[J]. Informatics, 2022, 9(1):13.
[28] 王伟伟, 顾炎辉, 余隋怀, 等. 智能座舱人机交互设计关键技术研究进展[J]. 机械设计, 2024, 41(8):30-36.
WANG W W, GU Y H, YU S H, et al.Research Progress on Key Technologies of Intelligent Cockpit Human-Computer Interaction Design[J]. Journal of Machine Design, 2024, 41(8):30-36.
[29] GHADHAB M, JUNGES S, KATOEN J P, et al.Safety Analysis for Vehicle Guidance Systems with Dynamic Fault Trees[J]. Reliability Engineering & System Safety, 2019, 186:37-50.
[30] 何欣宇, 代姗姗, 肖萌, 等. 煤矿预警信息发布影响因素重要度分析[J]. 安全与环境工程, 2024, 31(3):32-46.
HE X Y, DAI S S, XIAO M, et al.Importance Analysis of Factors of Coal Mine Early Warning Information Dissemination[J]. Safety and Environmental Engineering, 2024, 31(3):32-46.
[31] 董玉颜, 李永锋. 基于故障树分析与逼近理想解排序法的重卡车载信息系统界面设计[J]. 机械设计, 2023, 40(1):141-147.
DONG Y Y, LI Y F.Interface Design of Heavy Lorry Vehicle Information System Based on FTA and TOPSIS[J]. Journal of Machine Design, 2023, 40(1):141-147.
[32] 张爱琳, 刘晓佳. 改进CREAM模型的船舶引航员人因可靠性预测[J]. 中国航海, 2021, 44(1):32-37.
ZHANG A L, LIU X J.Improved CREAM Model for Prediction of Human Reliability Concerning Harbor Pilots[J]. Navigation of China, 2021, 44(1):32-37.
[33] 孙延浩, 张涛, 刘宁馨, 等. 基于证据推理的改进加权CREAM模型[J]. 安全与环境工程, 2022, 29(2):16-22.
SUN Y H, ZHANG T, LIU N X, et al.Improved Weighted CREAM Model Based on Evidential Reasoning[J]. Safety and Environmental Engineering, 2022, 29(2):16-22.
[34] KURT Y B, AKYUZ E, ARSLAN O.A Quantitative HAZOP Risk Analysis under Extended CREAM Approach for Maritime Autonomous Surface Ship (MASS) Operation[J]. Marine Technology Society Journal, 2022, 56(4):59-73.
[35] TAHERI M R, MORTAZAVI S B, ASILIAN H, et al.Investigating Human Error in Iran's Copper Mines Using the CREAM Based on Human Cognitive Reliability Analysis[J]. International Journal of Occupational Safety and Ergonomics, 2023, 29(4):1423-1428.
[36] WANG D D, YANG G L, HAN J X, et al.Quantitative Assessment of Human Error of Emergency Behavior for Hazardous Chemical Spills in Chemical Parks[J]. Process Safety and Environmental Protection, 2024, 189:930-949.
[37] HOLLNAGEL E.Cognitive Reliability and Error Analysis Method[M]. Oxford:Elsevier, 1998.
[38] HE X H, WANG Y, SHEN Z P, et al.A Simplified CREAM Prospective Quantification Process and Its Application[J]. Reliability Engineering & System Safety, 2008, 93(2):298-306.
[39] 于泳, 张帅, 吴通. 基于认知补偿的ROV操控系统人因失误预测方法[J]. 机械设计与研究, 2020, 36(6):154-158.
YU Y, ZHANG S, WU T.Human Error Prediction Method of ROV Control System Based on Cognitive Compensation[J]. Machine Design & Research, 2020, 36(6):154-158.
[40] 华明, 刘晓青. 基于FTA的苏州河河口水闸风险源识别[J]. 水利水电技术(中英文), 2022, 53(S1):366-371.
HUA M, LIU X Q.Risk Source Identification of Suzhou River Estuary Sluice Based on FTA[J]. Water Resources and Hydropower Engineering, 2022, 53(S1):366-371.
[41] ELIDOLU G, AKYUZ E, ARSLAN O, et al.Quantitative Failure Analysis for Static Electricity-Related Explosion and Fire Accidents on Tanker Vessels under Fuzzy Bow-Tie CREAM Approach[J]. Engineering Failure Analysis, 2022, 131:105917.
[42] MASALEGOOYAN Z, PIADEH F, BEHZADIAN K.A Comprehensive Framework for Risk Probability Assessment of Landfill Fire Incidents Using Fuzzy Fault Tree Analysis[J]. Process Safety and Environmental Protection, 2022, 163:679-693.
[43] SCHIAVO G, MICH O, FERRON M, et al.Trade-Offs in the Design of Multimodal Interaction for Older Adults[J]. Behaviour & Information Technology, 2022, 41(5):1035-1051.
[44] PAUZIEÉ A. A Method to Assess the Driver Mental Workload:The Driving Activity Load Index (DALI)[J]. IET Intelligent Transport Systems, 2008, 2(4):315-322.
[45] 詹蓓灵, 陆菁. 用户体验情感测量与情感识别研究综述[J]. 包装工程, 2024, 45(12):12-21.
ZHAN B L, LU J.Review of User Experience Emotion Measurement and Emotion Recognition[J]. Packaging Engineering, 2024, 45(12):12-21.
[46] KOSCH T, KAROLUS J, ZAGERMANN J, et al.A Survey on Measuring Cognitive Workload in Human-Computer Interaction[J]. ACM Computing Surveys, 2023, 55(13s):1-39.