Let me drive you! The effect of change seeking and behavioral control in the Artificial Intelligence-based self-driving cars
Tài liệu tham khảo
Spiller, 2013, Spotlights, floodlights, and the magic number zero: simple effects tests in moderated regression, J. Market. Res., 50, 277, 10.1509/jmr.12.0420
Miller, 2019, Explanation in artificial intelligence: insights from the social sciences, Artif. Intell., 267, 1, 10.1016/j.artint.2018.07.007
Allam, 2019, On big data, artificial intelligence and smart cities, Cities, 89, 80, 10.1016/j.cities.2019.01.032
Sestino, 2021, Leveraging artificial intelligence in business: implications, applications and methods, Technol. Anal. Strat. Manag., 34, 16, 10.1080/09537325.2021.1883583
Daily, 2017, Self-driving cars, Computer, 50, 18, 10.1109/MC.2017.4451204
Ndikumana, 2020, Deep learning based caching for self-driving cars, IEEE Trans. Intell. Transport. Syst., 22, 2862, 10.1109/TITS.2020.2976572
Kumar, 2020, Self driving car, vol. 999
Saquib, 2017, Self-driving car system using (AI) artificial intelligence, Asian J. Appl. Sci. Technol., 1, 85
Kashevnik, 2018, Dangerous situation prediction and driving statistics accumulation using smartphone, 521
McKinsey, 2016
Research, 2020
Forbes
König, 2017, Users' resistance towards radical innovations: the case of the self-driving car, Transport. Res. F Traffic Psychol. Behav., 44, 42, 10.1016/j.trf.2016.10.013
Silberg, 2012, Self-driving cars: the next revolution. White paper, KPMG LLP & Center Automot. Res., 9, 132
Hillenbrand, 2005, Situation assessment algorithm for a collision prevention assistant, 459
Hillenbrand, 2005, Situation assessment algorithm for a collision prevention assistant, 459
Chong, 2022, Human confidence in artificial intelligence and in themselves: the evolution and impact of confidence on adoption of AI advice, Comput. Hum. Behav., 127, 10.1016/j.chb.2021.107018
Rupp, 2010, Autonomous driving-a practical roadmap (No. 2010-01-2335)
Jiang, 2000, User resistance and strategies for promoting acceptance across system types, Inf. Manag., 37, 25, 10.1016/S0378-7206(99)00032-4
Goldenberg, 2001, The idea itself and the circumstances of its emergence as predictors of new product success, Manag. Sci., 47, 69, 10.1287/mnsc.47.1.69.10670
Hulse, 2018, Perceptions of autonomous vehicles: relationships with road users, risk, gender and age, Saf. Sci., 102, 1, 10.1016/j.ssci.2017.10.001
Rijsdijk, 2007, Product intelligence: its conceptualization, measurement and impact on consumer satisfaction, J. Acad. Market. Sci., 35, 340, 10.1007/s11747-007-0040-6
Collier, 2010, Examining the influence of control and convenience in a self-service setting, J. Acad. Market. Sci., 38, 490, 10.1007/s11747-009-0179-4
Baumgartner, 1994, An investigation into the construct validity of the arousal seeking tendency scale, version II, Educ. Psychol. Meas., 54, 993, 10.1177/0013164494054004016
Lucia-Palacios, 2021, Effects of home voice assistants' autonomy on instrusiveness and usefulness: direct, indirect, and moderating effects of interactivity, J. Interact. Market., 56, 41, 10.1016/j.intmar.2021.03.005
Van Esch, 2021, Does consumer promiscuity influence purchase intent? The role of artificial intelligence (AI), change seeking, and pride, J. Assoc. Consum. Res., 6, 394, 10.1086/714503
Cutright, 2014, Doing it the hard way: how low control drives preferences for high-effort products and services, J. Consum. Res., 41, 730, 10.1086/677314
Peluso, 2017, Compensatory word of mouth: advice as a device to restore control, Int. J. Res. Market., 24, 499, 10.1016/j.ijresmar.2016.10.003
Inesi, 2011, Power and choice: their dynamic interplay in quenching the thirst for personal control, Psychol. Sci., 22, 1042, 10.1177/0956797611413936
Faraji-Rad, 2017, Consumer desire for control as a barrier to new product adoption, J. Consum. Psychol., 27, 347, 10.1016/j.jcps.2016.08.002
Chen, 2017, Control deprivation motivates acquisition of utilitarian products, J. Consum. Res., 43, 1031
Cutright, 2013, Putting brands in their place: how a lack of control keeps brands contained, J. Market. Res., 50, 365, 10.1509/jmr.10.0202
Lee, 2017, Age differences in acceptance of self-driving cars: a survey of perceptions and attitudes, vol. 10297
Langer, 2021, The future of artificial intelligence at work: a review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers, Comput. Hum. Behav., 106878, 10.1016/j.chb.2021.106878
Hengstler, 2016, Applied artificial intelligence and trust—the case of autonomous vehicles and medical assistance devices, Technol. Forecast. Soc. Change, 105, 105, 10.1016/j.techfore.2015.12.014
Chowdhury, 2003, Natural language processing, Annu. Rev. Inf. Sci. Technol., 37, 51, 10.1002/aris.1440370103
Taylor, 2018, Internet of Things support for marketing activities, J. Strat. Market., 1
Sestino, 2020, 102173
Uden, 2017, How the Internet of Things can help knowledge management: a case study from the automotive domain, J. Knowl. Manag., 21, 57, 10.1108/JKM-07-2015-0291
Hsiao, 2011, Consumers automotive purchase decisions: the significance of vehicle-based infotainment systems, Afr. J. Bus. Manag., 5, 4152
Skeete, 2018, Level 5 autonomy: the new face of disruption in road transport, Technol. Forecast. Soc. Change, 134, 22, 10.1016/j.techfore.2018.05.003
Hong, 2021, AI, you can drive my car: how we evaluate human drivers vs. self-driving cars, Comput. Hum. Behav., 125, 10.1016/j.chb.2021.106944
Merfeld, 2019, Being driven autonomously–A qualitative study to elicit consumers' overarching motivational structures, Transport. Res. C Emerg. Technol., 107, 229, 10.1016/j.trc.2019.08.007
Gupta, 2019, Self-driving car using artificial intelligence
Blankesteijn, 2019, Closed-open innovation strategy for autonomous vehicle development, Int. J. Automot. Technol. Manag., 19, 74, 10.1504/IJATM.2019.098507
Gerhard, 2008, Product development in the automotive industry: crucial success drivers for technological innovations, Int. J. Technol. Market., 3, 203, 10.1504/IJTMKT.2008.019922
Van Geenhuizen, 2003, Coping with uncertainty: an expedition into the field of new transport technology, Transport. Plann. Technol., 26, 449, 10.1080/0308106032000167355
Stilgoe, 2018, Machine learning, social learning and the governance of self-driving cars, Soc. Stud. Sci., 48, 25, 10.1177/0306312717741687
Daziano, 2017, Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles, Transport. Res. C Emerg. Technol., 78, 150, 10.1016/j.trc.2017.03.003
Heitmann, 2006, Security risks and business opportunities in in-car entertainment
Song, 2010, Wireless location privacy protection in vehicular ad-hoc networks, Mobile Network. Appl., 15, 160, 10.1007/s11036-009-0167-4
Jung, 2018, An investigation of relationships among privacy concerns, affective responses, and coping behaviors in location-based services, Int. J. Inf. Manag., 43, 15, 10.1016/j.ijinfomgt.2018.05.007
Glancy, 2012, Privacy in autonomous vehicles, St. Clara Law Rev., 52, 1171
Davis, 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Q., 13, 319, 10.2307/249008
Goldsmith, 1991, Measuring consumer innovativeness, J. Acad. Market. Sci., 19, 209, 10.1007/BF02726497
Du, 2021, Why travelers trust and accept self-driving cars: an empirical study, Travel Behaviour and Society, 22, 1, 10.1016/j.tbs.2020.06.012
Qu, 2021, The effects of trait anxiety and the big five personality traits on self-driving car acceptance, Transportation, 48, 2663, 10.1007/s11116-020-10143-7
Hohenberger, 2016, How and why do men and women differ in their willingness to use automated cars? The influence of emotions across different age groups, Transport. Res. Pol. Pract., 94, 374, 10.1016/j.tra.2016.09.022
Payre, 2014, Intention to use a fully automated car: attitudes and a priori acceptability, Transport. Res. F Traffic Psychol. Behav., 27, 252, 10.1016/j.trf.2014.04.009
Hagman, 2010, Driving pleasure: a key concept in Swedish car culture, Mobilities, 5, 25, 10.1080/17450100903435037
Garlington, 1964, The change seeker index: a measure of the need for variable stimulus input, Psychol. Rep., 14, 919, 10.2466/pr0.1964.14.3.919
Baber, 1996, Humans, servants and agents: human factors of intelligent domestic products, 4-1
Bradshaw, 1997, An introduction to software agents, Software Age, 4, 3
Post, 2014, Car braking systems
Hill, 2015, Real conversations with artificial intelligence: a comparison between human–human online conversations and human–chatbot conversations, Comput. Hum. Behav., 49, 245, 10.1016/j.chb.2015.02.026
Gatersleben, 2007, Affective and symbolic aspects of car use, 219
Bjørner, 2017, Driving pleasure and perceptions of the transition from no automation to full self-driving automation, Appl. Mobilit., 4, 257, 10.1080/23800127.2017.1421289
Lin, 2007, Integrating technology readiness into technology acceptance: the TRAM model, Psychol. Market., 24, 641, 10.1002/mar.20177
Parasuraman, 2000, Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies, J. Serv. Res., 2, 307, 10.1177/109467050024001
Ellen, 1991, Resistance to technological innovations: an examination of the role of self-efficacy and performance satisfaction, J. Acad. Market. Sci., 19, 297, 10.1007/BF02726504
Sestino, 2021, Consumers' innovativeness and conspicuous consumption orientation as predictors of environmentalism: an investigation in the context of smart mobility, Technol. Anal. Strat. Manag., 1, 10.1080/09537325.2021.2020752
Wanberg, 2000, Predictors and outcomes of openness to changes in a reorganizing workplace, J. Appl. Psychol., 85, 132, 10.1037/0021-9010.85.1.132
Aguinis, 2021, MTurk research: review and recommendations, J. Manag., 47, 823
Hair, 2014, 1
Oppenheimer, 2009, Instructional manipulation checks: detecting satisficing to increase statistical power, J. Exp. Soc. Psychol., 45, 867, 10.1016/j.jesp.2009.03.009
Fishbein, 1975
Hayes, 2018
Zmud, 2016, Self-driving vehicles: determinants of adoption and conditions of usage, Transport. Res. Rec., 2565, 57, 10.3141/2565-07