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2025, 01, v.23 146-159
认知与情感涉入对无人驾驶汽车使用意愿的影响
基金项目(Foundation): 国家自然科学基金项目(72274178,71901196); 浙江省哲学社会科学规划课题(24NDJC177YB)
邮箱(Email): cqzhang@zstu.edu.cn;
DOI: 10.19961/j.cnki.1672-4747.2024.11.015
发布时间: 2025-01-06
出版时间: 2025-01-06
网络发布时间: 2025-01-06
移动端阅读
摘要:

【背景】多个国家和地区已经展开无人驾驶汽车的测试和试运营,部分城市已出现了无人驾驶出租车服务。无人驾驶汽车相关的法律、社会、交通等问题被广泛讨论,公众的使用意愿对无人驾驶汽车的普及和推广具有重要意义。文献分析发现,心理和行为因素对无人驾驶汽车的接受度和使用意愿的影响不可忽视。【目标】为响应国家发展战略并推动无人驾驶技术的商业化应用,研究旨在探讨无人驾驶试运营背景下潜在消费者使用意愿的影响因素,并揭示影响路径关系。【方法】以涉入度理论与SOR模型为基础理论,设计了心理行为实验,引入无人驾驶形象、认知涉入度、情感涉入度、使用意愿四个潜变量,通过Credamo见数的HBO心理行为实验平台进行实验数据收集,获得了320份有效问卷,并运用影响因素分析、差异性分析、中介作用检验、结构方程模型等方法对数据进行了分析。【结果】研究结果表明:(1)科普类和体验类宣传视频均显著提升了无人驾驶的形象和使用意愿;(2)科普类视频在提升认知涉入度方面的效果优于对情感涉入度的提升效果,而体验类视频在提升情感涉入度方面的效果优于对认知涉入度的提升效果;(3)无人驾驶形象对认知涉入度和情感涉入度具有显著的正向影响,认知涉入度和情感涉入度对使用意愿具有显著的正向影响;(4)认知涉入度和情感涉入度作为中介变量,间接影响无人驾驶形象对使用意愿的效应。【应用】研究结果为进一步提高无人驾驶汽车的使用意愿和制定无人驾驶汽车推广策略提供参考。

Abstract:

[Background] The testing and pilot deployment of autonomous vehicles have been initiated in various countries and regions, with autonomous taxi services already operational in some cities. Issues surrounding autonomous vehicles, including legal, social, and traffic-related concerns, are widely debated. Public willingness to adopt autonomous vehicles isvital to their broader acceptance and commercialization. Literature review highlights that psychological and behavioral factors significantly affect the acceptance and usage intention of autonomous vehicles.[Objective] In alignment with national development strategies and to facilitate the commercialization of autonomous driving technology, this study aims to identify factors that affect potential consumers 'willingness to use autonomous vehicles within the context of pilot operations, as well as to uncover the underlying pathways of these effects. [Methods]Based on involvement theory and the Stimulus-Organism-Responsemodel, a psychological behavior experiment was designed that incorporates four latent variables: autonomous driving image, cognitive involvement,emotional involvement, and usage intention. Data were obtained using the HBO psychological behavior experiment platform provided by Credamo, which yielded 320 valid responses. [Results]Various data analysis techniques were employed, including factor analysis, differential analysis,mediation effect testing, and structural equation modeling.The results indicate that(1) both informational and experiential promotional videos significantly improve the image of autonomous driving and the willingness to use it;(2) informational videos are more effective in enhancing cognitive involvement than in improving emotional involvement, whereas experiential videos are more effective in enhancing emotional involvement than in improving cognitive involvement;(3) the image of autonomous driving exerts a significant positive effect on both cognitive and emotional involvement; both cognitive and emotional involvement exert a significant positive impact on the willingness to use;(4) cognitive involvement and emotional involvement serve as mediating variables that indirectly determine the effect of the image of autonomous driving on the willingness to use. [Application]The findings of this study provide valuable insights for enhancing the willingness to adopt autonomous vehicles and for developing strategies to promote their widespread adoption.

参考文献

[1]中国政府网.全国机动车保有量达4.35亿辆,驾驶人达5.23亿人,新能源汽车保有量超过2000万辆[EB/OL].(2024-01-11)[2024-10-12]. https://www. gov. cn/lianbo/bumen/202401/content_6925362. htm.

[2] LIU X, LIANG J, FU J. A dynamic trajectory planning method for lane-changing maneuver of connected and automated vehicles[J]. Proceedings of the Institution of Mechanical Engineers, Part D:Journal of Automobile Engineering, 2021, 235(7):1808-1824.

[3] LIU X, LIANG J, ZHANG H. Dynamic motion planner with trajectory optimisation for automated highway lanechanging driving[J]. IET Intelligent Transport Systems,2020, 14(14):2133-2140.

[4] SU Y, LIU X, LI X. Research on traffic congestion based on system dynamics:the case of Chongqing, China[J].Complexity, 2020, 2020:6123896.

[5] CHEN L, MA N, WANG P, et al. Survey of pedestrian action recognition techniques for autonomous driving[J]. Tsinghua Science and Technology, 2020, 25(4):458-470.

[6] FUKATSU R, SAKAGUCHI K. Automated driving with cooperative perception using millimeter-wave V2V communications for safe overtaking[J]. Sensors, 2021, 21(8):2659.

[7] LU J, MA J, GONG Z. Design of human-machine interaction interface for autonomous vehicles based on multidimensional perceptual context[J]. Scientific Programming,2021, 2021:5859800.

[8] DILEK E, DENER M. Computer vision applications in intelligent transportation systems:a survey[J]. Sensors,2023, 23(6):2938.

[9] SUCIU D A, DULF E H, KOVáCS L. Low-cost autonomous trains and safety systems implementation, using computer vision[J]. Acta Polytechnica Hungarica, 2024,21(9):29-43.

[10] TALPES E, DAS SARMA D, VENKATARAMANAN G, et al. Compute solution for tesla’s full self-driving computer[J]. IEEE Micro, 2020, 40(2):25-35.

[11] HUO Y, ZHANG C. A review of key technologies for environment sensing in driverless vehicles[J]. World Electric Vehicle Journal, 2024, 15(7):290.

[12] HE X, LV C. Toward personalized decision making for autonomous vehicles:a constrained multi-objective reinforcement learning technique[J]. Transportation Research Part C:Emerging Technologies, 2023, 156:104352.

[13] BALA J A, ADESHINA S A, AIBINU A M. Advances in visual simultaneous localisation and mapping techniques for autonomous vehicles:a review[J]. Sensors, 2022, 22(22):8943.

[14] LU Y, MA H, SMART E, et al. Real-time performancefocused localization techniques for autonomous vehicle:a review[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(7):6082-6100.

[15]齐航,王光超,张运胜,等.自动驾驶出行服务的公众关切与研究展望——兼评“萝卜快跑”世界最大规模无人驾驶商业化运营[J].交通运输工程与信息学报,2024,22(4):1-12.QI Hang, WANG Guangchao, ZHANG Yunsheng, et al.Chinese public attitudes to and research prospects of autonomous mobility services——comment on the world’slargest“Apollo Go”experiment[J]. Journal of Transportation Engineering and Information,2024,22(4):1-12.

[16] DUARTE F, RATTI C. The impact of autonomous vehicles on cities:a review[J]. Journal of Urban Technology,2018, 25(4):3-18.

[17] KOTTASZ R, BENNETT R, VIJAYGOPAL R, et al.Driverless futures:current non-drivers’willingness to travel in driverless vehicles[J]. Journal of Marketing Management, 2021, 37(15/16):1656-1689.

[18] MESCH G S, DODEL M. The acceptance of driverless cars:the roles of perceived outcomes and technology usefulness[J]. American Behavioral Scientist, 2023, 67(14):1736-1754.

[19] HUANG D, CHEN Q, HUANG S S, et al. Consumer intention to use service robots:a cognitive-affective-conative framework[J]. International Journal of Contemporary Hospitality Management, 2024, 36(6):1893-1913.

[20] MORENO A T, MICHALSKI A, LLORCA C, et al.Shared autonomous vehicles effect on vehicle-km traveled and average trip duration[J]. Journal of Advanced Transportation, 2018:8969353.

[21] LIU H, YANG R, WANG L, et al. Evaluating initial public acceptance of highly and fully autonomous vehicles[J]. International Journal of Human-Computer Interaction, 2019, 35(11):919-931.

[22] ZOELLICK J C, KUHLMEY A, SCHENK L, et al.Amused, accepted, and used? Attitudes and emotions towards automated vehicles, their relationships, and predictive value for usage intention[J]. Transportation Research Part F:Traffic Psychology and Behaviour, 2019,65:68-78.

[23] GOLBABAEI F, YIGITCANLAR T, PAZ A, et al. Individual predictors of autonomous vehicle public acceptance and intention to use:a systematic review of the literature[J]. Journal of Open Innovation:Technology,Market, and Complexity, 2020, 6(4):106.

[24] MEIDUTE-KAVALIAUSKIENE I, Y?LD?Z B,?I?DEM?, et al. Do people prefer cars that people don’t drive? a survey study on autonomous vehicles[J]. Energies,2021, 14(16):4795.

[25] HUANG T. Psychological factors affecting potential users’intention to use autonomous vehicles[J]. PLoS One,2023, 18(3):e0282915.

[26] CHAN, W. M., LEE, J. W. C.5G connected autonomous vehicle acceptance:the mediating effect of trust in the technology acceptance model[J]. Asian Journal of Business Research, 2021,11(1):40-60.

[27] HUANG T. Research on the use intention of potential designers of unmanned cars based on technology acceptance model[J]. PLoS One, 2021, 16(8):e0256570.

[28] LEE J, LEE D, PARK Y, et al. Autonomous vehicles can be shared, but a feeling of ownership is important:Examination of the influential factors for intention to use autonomous vehicles[J]. Transportation Research Part C:Emerging Technologies, 2019, 107:411-422.

[29] GHAZI A, YADAV D, MUTHUSAMY S, et al. The scope and adaptation strategy for autonomous vehicles from the perspective of Indian smart city[J]. Energy Sources, Part A:Recovery, Utilization, and Environmental Effects, 2023, 45(3):8716-8736.

[30] CAI L, YUEN K F, WANG X. Explore public acceptance of autonomous buses:an integrated model of UTAUT, TTF and trust[J]. Travel Behaviour and Society, 2023, 31:120-130.

[31] DU H, ZHU G, ZHENG J. Why travelers trust and accept self-driving cars:an empirical study[J]. Travel Behaviour and Society, 2021, 22:1-9.

[32] LUO W, WEI S, WANG Y, et al. People’s intentions to use shared autonomous vehicles:an extended theory of planned behavior model[J]. Sustainability, 2023, 15(16):12455.

[33] AL MANSOORI S, AL-EMRAN M, SHAALAN K. Factors affecting autonomous vehicles adoption:a systematic review, proposed framework, and future roadmap[J].International Journal of Human-Computer Interaction,2024, 40(24):8397-8418.

[34] MUZAFER SHERIF and CARL I. HOVLAND. Social judgment:assimilation and contrast effects in communication and attitude change[M]. Conn.:Yale University Press, 1961.

[35]王晓玉.消费者行为学[M].上海:复旦大学出版社,2023.

[36]章莉南子.基于SOR理论的短时情绪诱发对个体购买行为影响的神经及预测机制研究[D].杭州:浙江大学,2019.ZHANG Linanzi. Research on neural and predictive mechanism of short-term emotional induction on individual buying behavior based on SOR framework[D].Hangzhou:Zhejiang University. 2019

[37] VIEIRA V A. Stimuli-organism-response framework:a meta-analytic review in the store environment[J]. Journal of Business Research, 2013, 66(9):1420-1426.

[38] MEHRABIAN A, RUSSELL J A. The basic emotional impact of environments[J]. Perceptual and Motor Skills,1974, 38(1):283-301.

[39]徐水太,陈美玲,袁北飞,等.社会资本、感知价值对农户参与农村人居环境整治意愿影响分析——基于SOR理论模型视角[J].长江流域资源与环境,2024,33(02):448-460.XU Shuitai, CHEN Meiling, YUAN Beifei, et al. Impact of social capital and perceived value on farmers’willingness to participate in rural living environment governance:based on the SOR model[J].Resources and Environment in the Yangtze Basin,2024,33(02):448-460.

[40]褚衍昌,艾艳博.基于SOR-SEM模型的机场旅客出行体验研究[J].价格理论与实践, 2024(5):203-207.CHU Yanchang, AI Yanbo. Research on airport passenger travel experience based on SOR-SEM model[J]. Price:Theory&Practice, 2024(5):203-207.

[41] LEE S, YOO S, KIM S, et al. Effect of robo-taxi user experience on user acceptance:field test data analysis[J].Transportation Research Record:Journal of the Transportation Research Board, 2022, 2676(2):350-366.

[42] YAO S H, XIE L F, CHEN Y J, et al. Influence of perceived safety in the technology acceptance model[J].Transportation Research Part F:Traffic Psychology and Behaviour, 2023, 99:36-51.

[43] SENER I N, ZMUD J, WILLIAMS T. Measures of baseline intent to use automated vehicles:a case study of Texas cities[J]. Transportation Research Part F:Traffic Psychology and Behaviour, 2019, 62:66-77.

[44] Biel A L. How brand image drives brand equity[J]. Journal of Advertising Research,1993(6):6-12.

[45]陈黎.社交媒体背景下旅游地形象对游客满意度的影响——游客涉入度与信任的作用[J].商业经济研究,2022,(1):185-188.

[46] KIM D J, FERRIN D L, RAO H R. A trust-based consumer decision-making model in electronic commerce:The role of trust, perceived risk, and their antecedents[J]. Decision Support Systems, 2008, 44(2):544-564.

[47] ZAICHKOWSKY J L. Measuring the involvement construct[J]. Journal of Consumer Research, 1985, 12(3):341-352.

[48]萧文龙,袁野,施普希,等.基于混合方法的“双十一”消费者购买意愿研究:情感和认知视角[J].管理评论,2024,36(1):161-174.XIAO Wenlong, YUAN Ye, SHI Puxi, et al. A Mixedmethod-based research on consumers’purchase intention at double 11 online shopping carnival:afjective and cognitive perspectives[J].Management Review. 2024, 36(1):161-174.

[49] LIU M Y, WU J P, ZHU C L, et al. Factors influencing the acceptance of robo-taxi services in China:an extended technology acceptance model analysis[J]. Journal of Advanced Transportation, 2022, 2022:8461212.

[50] LI D, HUANG Y, QIAN L. Potential adoption of robotaxi service:the roles of perceived benefits to multiple stakeholders and environmental awareness[J]. Transport Policy, 2022, 126:120-135.

[51] QIAN L, YIN J, HUANG Y, et al. The role of values and ethics in influencing consumers’intention to use autonomous vehicle hailing services[J]. Technological Forecasting and Social Change, 2023, 188:122267.

[52] KANG J Y M, MUN J M, JOHNSON K K P. In-store mobile usage:downloading and usage intention toward mobile location-based retail apps[J]. Computers in Human Behavior, 2015, 46:210-217.

[53]刘珈琪,柯湾,刘春.基于TAM-ECM模型的共享单车用户持续使用意愿影响因素研究[J].软科学, 2019, 33(7):116-121.LIU Jiaqi, KE Wan, LIU Chun. Study on the influence factors on the users’continuance intention of bike-sharing based on TAM-ECM model[J]. Soft Science, 2019,33(7):116-121.

基本信息:

DOI:10.19961/j.cnki.1672-4747.2024.11.015

中图分类号:U463.6

引用信息:

[1]邢祥玉,张春勤,姚文彬.认知与情感涉入对无人驾驶汽车使用意愿的影响[J].交通运输工程与信息学报,2025,23(01):146-159.DOI:10.19961/j.cnki.1672-4747.2024.11.015.

基金信息:

国家自然科学基金项目(72274178,71901196); 浙江省哲学社会科学规划课题(24NDJC177YB)

发布时间:

2025-01-06

出版时间:

2025-01-06

网络发布时间:

2025-01-06

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