How Artificial Intelligence Constrains the Human Experience
Abstract
Artificial intelligence (AI) and related technologies are transforming many consumption activities, powering breakthroughs that expand the human experience by enhancing human capabilities, performance, and creativity. While this explains the consumer enthusiasm and rapid adoption of these technologies, AI systems can also have the opposite effect: reducing and constraining the range of experiences that are available to consumers. This article examines the mechanisms through which AI can constrain the human experience, considering individual, interpersonal, and societal processes. Our analysis uncovers a complex interplay between the advantages of AI and its inadvertent negative repercussions, which potentially restrict human autonomy, self-identity, relational dynamics, and social behavior. In this article, we propose three different mechanisms at the core of these constraining forces: parametric reductionism, agency transference, and regulated expression. Our exploration of these mechanisms highlights the risks connected to system design and points to questions and implications for future researchers and policymakers.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI-powered systems exacerbate the tension between consumer influence and manipulation in novel and uniquely potent ways.
“AI-powered systems exacerbate this tension in novel and uniquely potent ways (Valenzuela et al. 2024).”
From Emotional Manipulation by AI Companions (2025) · cites this paper as Valenzuela et al. 2024
Cites
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290 · cited 1× · see citing works
“On top of that, LLMs can now largely pass the Turing test (Turing 1950), such that users cannot distinguish at better than chance levels whether they are dealing with a human or with an AI when the AI is not identi fi ed as such.”
BackgroundUnderstanding customer experience throughout the customer journey
Lemon, K. N., & Verhoef, P. C. (2016) · Journal of Marketing · doi:10.1509/jm.15.0420 · Cited by 5,765 · see citing works
Brand Experience: What is It? How is it Measured? Does it Affect Loyalty?
Brakus, J. J., Schmitt, B. H., & Zarantonello, L. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.3.052 · Cited by 4,415 · see citing works
Machines and Mindlessness: Social Responses to Computers
Nass, C., & Moon, Y. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00153 · Cited by 4,022 · see citing works
Toward a Psychology of Human Agency
Bandura, A. (2006) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2006.00011.x · Cited by 3,459 · see citing works
Exposure to ideologically diverse news and opinion on Facebook
Bakshy, E., Messing, S., & Adamic, L. A. (2015) · Science · doi:10.1126/science.aaa1160 · Cited by 3,245 · see citing works
Philosophical conceptions of the self: implications for cognitive science.
Gallagher, S. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01417-5 · Cited by 2,881 · cited 1× · see citing works
“Personal agency has been de fi ned as “ the sense that I am the one who is causing or generating an action ” (Gallagher 2000, 15) or as having the power to in fl uence one ’ s own actions and circumstances (Bandura 2006).”
BackgroundThe spiral of silence a theory of public opinion
Noelle-Neumann, E. (1974) · Journal of Communication · doi:10.1111/j.1460-2466.1974.tb00367.x · Cited by 2,352 · see citing works
Experimental evidence on the productivity effects of generative artificial intelligence
Noy, S., & Zhang, W. (2023) · Science · doi:10.1126/science.adh2586 · Cited by 2,150 · cited 2× · see citing works
“Relying on such models can increase the quantity and quality of knowledge workers ’ output (Noy and Zhang 2023; Dell ’ Acqua et al. 2024).”
BackgroundMethodNass, C., Steuer, J., & Tauber, E. R. (1994) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/191666.191703 · Cited by 2,148 · see citing works
Resistance to Medical Artificial Intelligence
Longoni, C., Bonezzi, A., & Morewedge, C. K. (2019) · Journal of Consumer Research · doi:10.1093/jcr/ucz013 · Cited by 2,015 · see citing works
Privacy and human behavior in the age of information
Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015) · Science · doi:10.1126/science.aaa1465 · Cited by 1,879 · see citing works
Maximizing versus satisficing: Happiness is a matter of choice.
Schwartz, B. N., Ward, A. C., Monterosso, J. R., Lyubomirsky, S., White, K., & Lehman, D. R. (2002) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.83.5.1178 · Cited by 1,829 · see citing works
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
Dong, X., & McIntyre, S. H. (2014) · Quantitative Finance · doi:10.1080/14697688.2014.946440 · Cited by 1,681 · see citing works
Academy of Management Proceedings
Epitropaki, O., Kark, R., Day, D., Lord, R. G., Murphy, S. E., & Stevens, N. (2016) · The Academy of Management · Cited by 1,609 · see citing works
Task-Dependent Algorithm Aversion
Castelo, N., Bos, M. W., & Lehmann, D. R. (2019) · Springer eBooks · doi:10.1007/978-3-031-88067-4_21 · Cited by 1,596 · see citing works
Self-citationThe Privacy Paradox: Personal Information Disclosure Intentions versus Behaviors
NORBERG, P. A., HORNE, D. R., & HORNE, D. A. (2007) · Journal of Consumer Affairs · doi:10.1111/j.1745-6606.2006.00070.x · Cited by 1,526 · see citing works
The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle
Waytz, A., Heafner, J., & Epley, N. (2014) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2014.01.005 · Cited by 1,439 · see citing works
Langer, E. J., & Rodin, J. (1976) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.34.2.191 · Cited by 1,264 · see citing works
Self-disclosure: A literature review.
Cozby, P. C. (1973) · Psychological Bulletin · doi:10.1037/h0033950 · Cited by 1,254 · see citing works
Consumers and artificial intelligence: An experiential perspective
Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021) · Journal of Marketing · doi:10.1177/0022242920953847 · Cited by 1,193 · cited 1× · see citing works
“…interact with other humans, thus putting them at risk of exhibiting not only the same cognitive and social biases as in human interactions but also of not accounting for AI ’ s superior abilities to extract and exploit information (Nass and Moon 2000; Novak and Hoffman 2019; Puntoni et al. 2021).”
BackgroundSelf-citationAmazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *
Dastin, J. (2022) · Ethics of Data and Analytics · doi:10.1201/9781003278290-44 · Cited by 1,165 · see citing works
Is That Car Smiling at Me? Schema Congruity as a Basis for Evaluating Anthropomorphized Products
Aggarwal, P., & McGill, A. L. (2007) · Journal of Consumer Research · doi:10.1086/518544 · Cited by 1,078 · see citing works
Identifying influential and susceptible members of social networks
Aral, S., & Walker, D. (2012) · Science · doi:10.1126/science.1215842 · Cited by 1,047 · see citing works
Barth, S., & de Jong, M. D. T. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.04.013 · Cited by 798 · cited 1× · see citing works
“As noted by Barth and de Jong (2017), among the numerous explanations offered for the privacy paradox, the most parsimonious is that it re fl ects a bias in the intuitive cost-bene fi t calculations people undertake when deciding whether to provide information online.”
BackgroundDell'Acqua, F., McFowland III, E., Mollick, E. R., Lifshitz-Assaf, H., Kellogg, K., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4573321 · Cited by 794 · see citing works
Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity
Fleder, D. M., & Hosanagar, K. (2009) · Management Science · doi:10.1287/mnsc.1080.0974 · Cited by 749 · see citing works
Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach
Hoffman, D. L., & Novak, T. P. (2018) · Journal of Consumer Research · doi:10.1093/jcr/ucx105 · Cited by 668 · cited 2× · see citing works
“In tandem with directly constraining human experience, AI can constrain human experience indirectly, as when people use AI in ways that limit their own engagement with the experience (Hoffman and Novak 2018).”
BackgroundSelf-citationThe Two Western Cultures of Privacy: Dignity versus Liberty
Whitman, J. Q. (2004) · The Yale Law Journal · doi:10.2307/4135723 · Cited by 610 · see citing works
Privacy in electronic commerce and the economics of immediate gratification
Acquisti, A. (2004) · Proceedings of the 5th ACM conference on Electronic commerce · doi:10.1145/988772.988777 · Cited by 561 · see citing works
Furman, J., & Seamans, R. (2018) · Innovation Policy and the Economy · doi:10.1086/699936 · Cited by 512 · see citing works
Privacy, Trust, and Self-Disclosure Online
Joinson, A. N., Reips, U.-D., Buchanan, T., & Schofield, C. B. P. (2010) · Human–Computer Interaction · doi:10.1080/07370020903586662 · Cited by 503 · see citing works
Beranuy, M., Oberst, U., Carbonell, X., & Chamarro, A. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.03.001 · Cited by 498 · see citing works
Why’s Everyone on TikTok Now? The Algorithmized Self and the Future of Self-Making on Social Media
Bhandari, A., & Bimo, S. (2022) · Social Media + Society · doi:10.1177/20563051221086241 · Cited by 491 · see citing works
Relational agents: a model and implementation of building user trust
Bickmore, T., & Cassell, J. (2001) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/365024.365304 · Cited by 479 · see citing works
Pitardi, V., & Marriott, H. R. (2021) · Psychology & Marketing · doi:10.1002/mar.21457 · Cited by 455 · see citing works
Vimalkumar, M., Sharma, S. K., Singh, J. B., & Dwivedi, Y. K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106763 · Cited by 402 · see citing works
Music, Search, and IoT: How People (Really) Use Voice Assistants
Ammari, T., Kaye, J., Tsai, J. Y., & Bentley, F. (2019) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3311956 · Cited by 356 · see citing works
Consumer Choice and Autonomy in the Age of Artificial Intelligence and Big Data
André, Q., Carmon, Z., Wertenbroch, K., Crum, A. J., Frank, D. H., Goldstein, W. M., Huber, J. C., Leaf Van Boven, A., Weber, B., & Yang, H. (2017) · Customer Needs and Solutions · doi:10.1007/s40547-017-0085-8 · Cited by 337 · see citing works
Self-citationA survey of serendipity in recommender systems
Kotkov, D., Wang, S., & Veijalainen, J. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.08.014 · Cited by 334 · see citing works
Novak, T. P., & Hoffman, D. L. (2019) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0608-3 · Cited by 332 · see citing works
Self-citationDatta, H., Knox, G., & Bronnenberg, B. J. (2017) · Marketing Science · doi:10.1287/mksc.2017.1051 · Cited by 320 · see citing works
Dietvorst, B. J., & Bharti, S. (2020) · Psychological Science · doi:10.1177/0956797620948841 · Cited by 275 · see citing works
Self-citationRecent research on dehumanization
Haslam, N., & Stratemeyer, M. (2016) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2016.03.009 · Cited by 267 · see citing works
Rehabilitating the Industrial Revolution
Berg, M., & Hudson, P. (1992) · The Economic History Review · doi:10.2307/2598327 · Cited by 264 · see citing works
Privacy Concerns for Use of Voice Activated Personal Assistant in the Public Space
Easwara Moorthy, A., & Vu, K.-P. L. (2015) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2014.986642 · Cited by 250 · see citing works
Best humans still outperform artificial intelligence in a creative divergent thinking task
Koivisto, M., & Grassini, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-40858-3 · Cited by 247 · see citing works
Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects
Adomavičius, G., Bockstedt, J. C., Curley, S. P., & Zhang, J. (2013) · Information Systems Research · doi:10.1287/isre.2013.0497 · Cited by 236 · see citing works
The Smartphone as a Pacifying Technology
Melumad, S., & Pham, M. T. (2020) · Journal of Consumer Research · doi:10.1093/jcr/ucaa005 · Cited by 232 · see citing works
Psychological factors underlying attitudes toward AI tools
Freitas, J. D., Agarwal, S., Schmitt, B. H., & Haslam, N. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01734-2 · Cited by 226 · see citing works
Authentic self-expression on social media is associated with greater subjective well-being
Bailey, E. R., Matz, S., Youyou, W., & Iyengar, S. S. (2020) · Nature Communications · doi:10.1038/s41467-020-18539-w · Cited by 209 · see citing works
Hildebrand, C., & Bergner, A. S. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00753-z · Cited by 208 · see citing works
Self-citationUnderstanding and Improving Consumer Reactions to Service Bots
Castelo, N., Boegershausen, J., Hildebrand, C., & Henkel, A. P. (2023) · Journal of Consumer Research · doi:10.1093/jcr/ucad023 · Cited by 205 · see citing works
Self-citationLee, D., & Hosanagar, K. (2017) · Information Systems Research · doi:10.1287/isre.2018.0800 · Cited by 203 · see citing works
Thumbs Up or Down: Consumer Reactions to Decisions by Algorithms Versus Humans
Williams, G. Y., Lim, S., Puntoni, S., & van Osselaer, S. M. J. (2021) · Journal of Marketing Research · doi:10.1177/00222437211070016 · Cited by 196 · see citing works
Self-citationWhat Is Artificial Intelligence?
Jeavons, A. (2017) · Research World · doi:10.1002/rwm3.20554 · Cited by 188 · see citing works
When Identity Marketing Backfires: Consumer Agency in Identity Expression
Bhattacharjee, A., Berger, J. A., & Menon, G. (2014) · Journal of Consumer Research · doi:10.1086/676125 · Cited by 183 · see citing works
Wertenbroch, K., Schrift, R. Y., Alba, J. W., Barasch, A., Bhattacharjee, A., Giesler, M., Knobe, J., Lehmann, D. R., Matz, S., Nave, G., et al. (2020) · Marketing Letters · doi:10.1007/s11002-020-09521-z · Cited by 172 · see citing works
Self-citationThe psychosocial effects of economic inequality depend on its perception
Willis, G. B., García‐Sánchez, E., Sánchez‐Rodríguez, Á., García‐Castro, J. D., & Rodríguez‐Bailón, R. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-022-00044-0 · Cited by 165 · see citing works
The originality of machines: AI takes the Torrance test
Guzik, E. E., Byrge, C., & Gilde, C. (2023) · Journal of Creativity · doi:10.1016/j.yjoc.2023.100065 · Cited by 165 · see citing works
Anonymity and Online Self-Disclosure: A Meta-Analysis
Clark-Gordon, C. V., Bowman, N. D., Goodboy, A. K., & Wright, A. (2019) · Communication Reports · doi:10.1080/08934215.2019.1607516 · Cited by 141 · see citing works
Full Disclosure: How Smartphones Enhance Consumer Self-Disclosure
Melumad, S., & Meyer, R. (2020) · Journal of Marketing · doi:10.1177/0022242920912732 · Cited by 127 · see citing works
Self-citationWhose AI? How different publics think about AI and its social impacts
Bao, L., Krause, N. M., Calice, M. N., Scheufele, D. A., Wirz, C. D., Brossard, D., Newman, T. P., & Xenos, M. A. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107182 · Cited by 123 · see citing works
The glass cage: automation and us
(2015) · Choice Reviews Online · doi:10.5860/choice.187282 · Cited by 122 · see citing works
Highbrow Films Gather Dust: Time-Inconsistent Preferences and Online DVD Rentals
Milkman, K. L., Rogers, T., & Bazerman, M. (2009) · Management Sciences · doi:10.1287/mnsc.1080.0994 · Cited by 116 · see citing works
Zierau, N., Hildebrand, C., Bergner, A., Busquet, F., Schmitt, A., & Leimeister, J. M. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00868-5 · Cited by 115 · see citing works
Self-citationHildebrand, C., Efthymiou, F., Busquet, F., Hampton, W. H., Hoffman, D. L., & Novak, T. P. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.020 · Cited by 97 · see citing works
Self-citationDietvorst, B. J., & Bartels, D. M. (2021) · Journal of Consumer Psychology · doi:10.1002/jcpy.1266 · Cited by 96 · see citing works
Self-citationRecursive patterns in online echo chambers
Brugnoli, E., Cinelli, M., Quattrociocchi, W., & Scala, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-56191-7 · Cited by 95 · see citing works
Identity development in the digital context
Soh, S., Talaifar, S., & Harari, G. M. (2024) · Social and Personality Psychology Compass · doi:10.1111/spc3.12940 · Cited by 95 · see citing works
Self-citationThe health risks of generative AI-based wellness apps
De Freitas, J., & Cohen, I. G. (2024) · Nature Medicine · doi:10.1038/s41591-024-02943-6 · Cited by 95 · see citing works
People mistake the internet’s knowledge for their own
Ward, A. F. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2105061118 · Cited by 82 · see citing works
From Dehumanization and Objectification to Rehumanization
Fiske, S. T. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04544.x · Cited by 73 · see citing works
Down a Rabbit Hole: How Prior Media Consumption Shapes Subsequent Media Consumption
Woolley, K., & Sharif, M. A. (2021) · Journal of Marketing Research · doi:10.1177/00222437211055403 · Cited by 72 · see citing works
The Deskilling Debate, New Technology and Work Organization
Wood, S. (1987) · Acta Sociologica · doi:10.1177/000169938703000101 · Cited by 69 · see citing works
Wu, T.-Y., & Atkin, D. J. (2018) · New Media & Society · doi:10.1177/1461444818776629 · Cited by 69 · see citing works
Deployment of algorithms in management tasks reduces prosocial motivation
Granulo, A., Caprioli, S., Fuchs, C., & Puntoni, S. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.108094 · Cited by 67 · see citing works
Self-citationExploring the Impact of Artificial Intelligence: Prediction versus Judgment
Agrawal, A. K., Gans, J. S., & Avi Goldfarb, B. (2018) · National Bureau of Economic Research · doi:10.3386/w24626 · Cited by 65 · see citing works
Sangers, T. E., Kittler, H., Blum, A., Braun, R. P., Barata, C., Cartocci, A., Combalia, M., Esdaile, B. A., Guitera, P., Haenssle, H. A., et al. (2023) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.19521 · Cited by 64 · see citing works
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations
Chakraborty, A., Messias, J., Benevenuto, F., Ghosh, S., Ganguly, N., & Gummadi, K. P. (2017) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v11i1.14894 · Cited by 63 · see citing works
Choi, S., & Zhou, J. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114127 · Cited by 58 · see citing works
Blumer, T., & Döring, N. M. (2012) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2012-3-5 · Cited by 53 · see citing works
Information without knowledge: the effects of Internet search on learning
Fisher, M., Smiley, A. H., & Grillo, T. L. H. (2021) · Memory · doi:10.1080/09658211.2021.1882501 · Cited by 52 · see citing works
Does Chatbot Language Formality Affect Users’ Self-Disclosure?
Cox, S. R., & Ooi, W. T. (2022) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3543829.3543831 · Cited by 48 · see citing works
Information Disclosure in the Era of Voice Technology
Melzner, J., Bonezzi, A., & Meyvis, T. (2022) · Journal of Marketing · doi:10.1177/00222429221138286 · Cited by 45 · see citing works
Human bias in algorithm design
Morewedge, C. K., Mullainathan, S., Naushan, H., Sunstein, C. R., Kleinberg, J. M., Raghavan, M., & Ludwig, J. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01724-4 · Cited by 44 · see citing works
The Socio-Legal Relevance of Artificial Intelligence
Larsson, S. (2019) · Droit et société · doi:10.3917/drs1.103.0573 · Cited by 43 · cited 1× · see citing works
“Similar patterns of discrimination have been uncovered in AI applications within judicial (Larsson 2019) and educational domains (Engler 2021).”
BackgroundWertenbroch, K., Vosgerau, J., & Bruyneel, S. D. (2007) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2007.10.006 · Cited by 35 · see citing works
Self-citationIntransitivity of Consumer Preferences for Privacy
Tomaino, G., Wertenbroch, K., & Walters, D. J. (2022) · Journal of Marketing Research · doi:10.1177/00222437221122994 · Cited by 30 · see citing works
Self-citationHildebrand, C. (2019) · NIM Marketing Intelligence Review · doi:10.2478/nimmir-2019-0010 · Cited by 29 · see citing works
Self-citationVoice analytics in the wild: Validity and predictive accuracy of common audio-recording devices
Busquet, F., Efthymiou, F., & Hildebrand, C. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02139-9 · Cited by 28 · see citing works
Self-citationBunker, C. J., & Kwan, V. S. Y. (2021) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2021-4-8 · Cited by 21 · see citing works
Sweeney, M. E. (2021) · The MIT Press eBooks · doi:10.7551/mitpress/12236.003.0016 · Cited by 20 · see citing works
Self-citationFreedom and Constraint in Digital Environments: Implications for the Self
Talaifar, S., & Lowery, B. S. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916221098036 · Cited by 19 · see citing works
Self-citationDo algorithms discriminate against African Americans in lending?
Bertrand, J., & Weill, L. (2021) · Economic Modelling · doi:10.1016/j.econmod.2021.105619 · Cited by 19 · see citing works
Deliberately prejudiced self-driving vehicles elicit the most outrage
Freitas, J. D., & Cikara, M. (2020) · Cognition · doi:10.1016/j.cognition.2020.104555 · Cited by 18 · see citing works
Serendipity in the city: User evaluations of urban recommender systems
Smets, A., Vannieuwenhuyze, J., & Ballon, P. (2021) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24552 · Cited by 18 · see citing works
Bunker, C. J., Balcerowska, J. M., Precht, L.-M., Margraf, J., & Brailovskaia, J. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.108056 · Cited by 18 · see citing works
Sweeney, M. E., & Davis, E. (2021) · Information Technology and Libraries · doi:10.6017/ital.v39i4.12363 · Cited by 17 · see citing works
Self-citationTailoring recommendation algorithms to ideal preferences makes users better off
Khambatta, P., Mariadassou, S., Morris, J., & Wheeler, S. C. (2023) · Scientific Reports · doi:10.1038/s41598-023-34192-x · Cited by 10 · see citing works
Fordham Intellectual Property, Media and Entertainment Law Journal
McClure, I. (2016) · Cited by 10 · see citing works
Qureshi, S. (2023) · Information Technology for Development · doi:10.1080/02681102.2023.2236424 · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity
Tully, S. M., Longoni, C., & Appel, G. (2025) · Journal of Marketing · doi:10.1177/00222429251314491 · Cited by 186 · see citing works
AI Companions Reduce Loneliness
De Freitas, J., Oğuz-Uğuralp, Z., Uğuralp, A. K., & Puntoni, S. (2026) · Journal of Consumer Research · doi:10.1093/jcr/ucaf040 · Cited by 165 · see citing works
Self-citationIdeation with Generative AI—in Consumer Research and Beyond
Freitas, J. D., Nave, G., & Puntoni, S. (2025) · Journal of Consumer Research · doi:10.1093/jcr/ucaf012 · Cited by 61 · see citing works
Self-citationChatbot dynamics: trust, social presence and customer satisfaction in AI-driven services
Oraini, B. A. (2025) · Journal of Innovative Digital Transformation · doi:10.1108/jidt-08-2024-0022 · Cited by 56 · see citing works
The GenAI Future of Consumer Research
Huang, M., & Rust, R. T. (2025) · Journal of Consumer Research · doi:10.1093/jcr/ucaf013 · Cited by 56 · see citing works
AI companions and adolescent social relationships: Benefits, risks, and bidirectional influences
Sun, X., Wang, Y., & McDaniel, B. T. (2026) · Child Development Perspectives · doi:10.1093/cdpers/aadaf009 · Cited by 36 · see citing works
Gonçalves, A. R., Pinto, D. C., González‐Jiménez, H., Dalmoro, M., & Mattila, A. S. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114974 · Cited by 22 · see citing works
Reducing prejudice with counter‐stereotypical AI
Hermann, E., De Freitas, J., & Puntoni, S. (2025) · Consumer Psychology Review · doi:10.1002/arcp.1102 · Cited by 21 · see citing works
Self-citationLi, T., Wang, M., & Wang, F. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70066 · Cited by 22 · see citing works
The impact of artificial intelligence on consumer behavior towards brands: a systematic review
Ribeiro, A., Rivero, A. J. L., & Abrantes, J. L. (2025) · Electronic Commerce Research · doi:10.1007/s10660-025-10063-7 · Cited by 21 · see citing works
Barger, V. A., Chennamaneni, P. R., Dahl, A. J., & Peltier, J. W. (2024) · Marketing Education Review · doi:10.1080/10528008.2024.2430259 · Cited by 19 · see citing works
Johnson, J. G., Peralta, M., Kaur, M., Huang, R., Zhao, S. G., Guan, R., Rajaram, S., & Nebeling, M. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757595 · Cited by 27 · see citing works
Rosa, W. D. L., & Bechler, C. J. (2024) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2024.101843 · Cited by 18 · see citing works
Averse to what: Consumer aversion to algorithmic labels, but not their outputs?
Mariadassou, S., Klesse, A.-K., & Boegershausen, J. (2024) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2024.101839 · Cited by 17 · see citing works
Hermann, E., & Puntoni, S. (2025) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-025-01098-1 · Cited by 16 · see citing works
Self-citationWinder, P. D., Hildebrand, C., & Hartmann, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0325459 · Cited by 19 · see citing works
Self-citationMukherjee, P., & Jain, V. (2025) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2025.104506 · Cited by 17 · see citing works
Generative Artificial Intelligence and the Future of Public Knowledge
Spennemann, D. H. R. (2025) · Knowledge · doi:10.3390/knowledge5030020 · Cited by 16 · see citing works
How Algorithms Constrain Consumer Experience
Kaliyamurthy, A. K., & Schau, H. J. (2025) · Journal of Consumer Research · doi:10.1093/jcr/ucaf016 · Cited by 13 · see citing works
Emotional Manipulation by AI Companions
De Freitas, J., Oguz-Uguralp, Z., & Kaan-Uguralp, A. (2025) · arXiv · doi:10.48550/arxiv.2508.19258 · Cited by 12 · see citing works
Self-citationRindfleisch, A., Kim, M., & Lee, E. J. H. (2024) · Journal of Macromarketing · doi:10.1177/02761467241285322 · Cited by 11 · see citing works
The feeling skills gap: the role of empathy in voice-driven AI for service recovery
Carrilho, M. G., Wagner, R., Pinto, D. C., González‐Jiménez, H., & Akdim, K. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115703 · Cited by 12 · see citing works
Autonomous technology in the marketplace: The impact of enjoyment on consumer responses
Rohden, S. F., Netto, C. F. S., & Espartel, L. B. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108647 · Cited by 10 · see citing works
Algorithm Delegation: How Embedded AI Facilitates Agency Transference in Medical Services
Wagner, R., Pinto, D. C., Hildebrand, D. F. N., Pacheco, N. A., Dhillon, G. S., & Herter, M. M. (2025) · Psychology and Marketing · doi:10.1002/mar.70016 · Cited by 10 · see citing works
AI lovers, friends and partners: consumer imagination work in AI humanization
Minina, A., Masè, S., & Smith, J. (2025) · Consumption Markets & Culture · doi:10.1080/10253866.2025.2505013 · Cited by 7 · see citing works
Nunes, J. R., Rita, P., Pinto, D. C., González‐Jiménez, H., Akdim, K., & Wagner, R. L. (2025) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2025.102940 · Cited by 6 · see citing works
Lee, Y.-J., & Kim, S.-H. (2025) · Comput. Hum. Behav. Artif. Humans · doi:10.1016/j.chbah.2025.100192 · Cited by 11 · see citing works
Mukherjee, P., Agarwal, M. K., & Chatterjee, S. (2026) · Journal of Consumer Behaviour · doi:10.1002/cb.70115 · Cited by 6 · see citing works
Becoming human in the age of AI: cognitive co-evolutionary processes
Högberg, A. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1734048 · Cited by 6 · see citing works
The design framework for pedagogical agents supporting constructivist learning with generative AI
Liu, C., Tsai, C., Yilmaz, R., Wu, J., Ranieri, M., Zou, D., Archambault, L., van Braak, J., & Biswas, G. (2026) · Computers & Education · doi:10.1016/j.compedu.2026.105744 · Cited by 4 · see citing works
Smart products 2.0: redefining user risks with multimodal generative AI
Raff, S., Brenk, S., & Henneke, D. (2025) · Journal of Risk Research · doi:10.1080/13669877.2025.2496234 · Cited by 4 · see citing works
Conversational AI: The Next Frontier of Digital Platform MonetizationPreprint
Hermann, E., Puntoni, S., & Schweidel, D. A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5634270 · Cited by 4 · see citing works
Self-citationSugitani, Y., Togawa, T., & Motoki, K. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100152 · Cited by 3 · see citing works
Reimann, M., & Kronrod, A. (2025) · Journal of the Association for Consumer Research · doi:10.1086/740067 · Cited by 2 · see citing works
AI ‐Enabled Consumer Services and Subjective Well‐Being
Pak, T. (2026) · International Journal of Consumer Studies · doi:10.1111/ijcs.70212 · Cited by 2 · see citing works
Health Data Privacy and Consumer Norm Concessions: Negotiating Privacy Through Tiered Transparency
Azzari, C. N., Bourassa, M. A., Walker, K., & LaBarge, M. (2025) · Journal of the Association for Consumer Research · doi:10.1086/735576 · Cited by 2 · see citing works
Jassim, A. L. H. A. (2025) · Journal of Arts, Literature, Humanities and Social Sciences · doi:10.33193/jalhss.121.2025.1455 · Cited by 1 · see citing works
Privacy Disclosure on Electronic Commerce
Gao, K., Yao, S., Wang, Y., & Lyu, S. (2025) · International Journal of Information Security and Privacy · doi:10.4018/ijisp.384917 · Cited by 1 · see citing works
Zepf, S., & Colley, M. (2025) · International Conference on Multimodal Interaction · doi:10.1145/3716553.3750736
Peterson, C., Anderson, C., Berdine, G. G., & NUGENT, K. M. (2026) · Journal of Electronic Resources in Medical Libraries · doi:10.1080/15424065.2026.2626575 · Cited by 2 · see citing works
Shadangi, S., Mahapatra, D., Jain, V., & Sindhwani, R. (2026) · Journal of Consumer Behaviour · doi:10.1002/cb.70129 · Cited by 1 · see citing works
Self-imposed Immaturity in the Age of Artificial Intelligence
Schwarting, D., & Reihlen, M. R. (2026) · Philosophy of Management · doi:10.1007/s40926-026-00386-2 · Cited by 1 · see citing works
The negative social roles of virtual conversational agents in consumer interactions
Monsurrò, L., Querci, I., Grappi, S., Romani, S., & Gistri, G. (2026) · Qualitative Market Research An International Journal · doi:10.1108/qmr-05-2025-0121 · Cited by 1 · see citing works
Preference Filtering: When Customers Share Narrow Preferences with Algorithms
Gai, P. J., Leung, E., & Klesse, A.-K. (2026) · Journal of Marketing · doi:10.1177/00222429261466254 · Cited by 1 · see citing works
Alphabetical Diaries and Autobiographical Memory in the Digital Age
Talaifar, S. (2024) · Psychological Inquiry · doi:10.1080/1047840x.2024.2384130 · Cited by 1 · see citing works
Self-citationDenial, Deception, and Ignorance: “Culturo-Behavior Unscience” Examined in Three Recent Books
Rakos, R. F., Alavosius, M. P., & Krispin, J. V. (2025) · Behavior and Social Issues · doi:10.1007/s42822-025-00198-5 · Cited by 1 · see citing works
Research on price competition of grain enterprises based on evolutionary game model
Yan, R. (2025) · International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC) · doi:10.1145/3745533.3745563
Von der selbstverschuldeten Unmündigkeit zur Aufklärung und zurück
Schwarting, D. (2025) · Springer eBooks · doi:10.1007/978-3-658-48626-6_5
Personalized By AI, Shared By Me: Promoting Brand Relationships In E-BusinessPreprint
Alarcón‐López, R., & Aramendia-Muneta, M. E. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5434956
AI as a Financial Coach—Promoting Sustainable Financial Management with Generative AI
Salo-Lahti, M., Ranta, M., Toivonen, N., & Haapio, H. (2025) · Perspectives in law, business and innovation · doi:10.1007/978-981-95-2058-9_4
Tsara, L., & Kgatle, M. S. (2025) · Pharos Journal of Theology · doi:10.46222/pharosjot.107.21
Tolnaiová, S. G. (2025) · Media & Marketing Identity · doi:10.34135/mmidentity-2025-13
Jenkins, M. R., & Hussain, F. (2026) · Marketing Education Review · doi:10.1080/10528008.2026.2618166
AI and Theology: The Battle of Metaphors and the Fate of Humanity
Haq, Z. U. (2025) · Pharos Journal of Theology · doi:10.46222/pharosjot.107.121
Can Artificial Intelligence Destroy Future Industry?
Terziyan, V. Y., Gryshko, S., Kaikova, O., & Golovianko, M. (2026) · Procedia Computer Science · doi:10.1016/j.procs.2026.02.338
Schaap, G., van de Sande, Y., & Schraffenberger, H. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3799056
Kaur, N., Nichele, E., & McQuade, L. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83708-464-720261014
AI and Cybersecurity Revisited
Burton, S. L. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-1016-7.ch007
Examining Age-Related Differences in Cognitive Biases in Acquiring Knowledge About AI
Barretto, A. B., Mallya, P. G., Pereira, E. D., Rodrigues, S. J., Pereira, V. B., Cardozo, S. A., & Cotta, J. M. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-5896-3.ch002
Zhang, X. (2026) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2026.101050 · Cited by 1 · see citing works
Otalor, J. I., & Oodally, I. (2026) · Frontiers in African business research · doi:10.1007/978-981-95-9500-6_4
Arani, S. M. N., & Qohroudi, M. Q. (2026) · Iranian and Persian Studies. · doi:10.1007/978-981-95-4593-3_3
Le, T. M. D., Nguyen, T. N. M., Trinh, N. Q., Nguyen, T. A., Nguyễn, T. N. L., & Tran, N. B. N. (2026) · International Journal of Information and Learning Technology · doi:10.1108/ijilt-11-2024-0276 · Cited by 2 · see citing works
Agentic Artificial Intelligence and Social-Emotional Development in Education
Romeo, G., Conti, D., & Nuovo, S. D. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6471-1.ch004
Leaning into the Digital World: Embracing Intelligent Opportunities in a Human-Centred Profession
Isaacson, S. (2026) · SpringerBriefs in psychology · doi:10.1007/978-3-032-23332-5_7
Do Not Think Ahead of Me: High‐Personalization Chatbots Can Backfire During the Goal Formation Stage
Chen, X., Huang, M., & Xie, X. (2026) · Psychology and Marketing · doi:10.1002/mar.70189
Almisad, B. (2026) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/18795
Hildebrand, C. (2026) · doi:10.1093/9780197859063.003.0009
Self-citationZheng, Y., Alba, J. W., Hutchinson, J. B., & Hutchinson, J. W. (2026) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-026-01174-0
Alexander, R., Carnegie, L., & Moon, N. (2026) · Journal of Statistics and Data Science Education · doi:10.1080/26939169.2026.2708860
SEEing Together: Synthetic Presence and Ethics in AI/XR
Bryson, K., Kadlubsky, A., Liu, Y., Richardson, K., & Sergeeva, A. (2026) · International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex69967.2026.11618316
Mindful machines: exploring the transformative nexus of mindfulness and AI itinerary adoption
Chakraborty, U. (2026) · Marketing Intelligence & Planning · doi:10.1108/mip-09-2024-0625
Impacts of AI systems on occupational health and well-being: a mixed methods systematic review
Teles, J. P., & Monteiro, S. (2026) · Behaviour & Information Technology · doi:10.1080/0144929x.2026.2716291
Uneven by Design: How Generative AI Interfaces Reinforce Digital Divides Across Modalities
Jung, S., Han, S., Yoo, G. Y., Pasch, S., Ji, Y. G., Kim, H. C., & Cha, M. C. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2719091
Fernández, R. C., & Solórzano, M. (2026) · Applied Artificial Intelligence · doi:10.1080/08839514.2026.2726917
Knott, J. D., Molesworth, M., Belk, R., Caliandro, A., Mardon, R., & Sörum, N. (2026) · Journal of Marketing Management · doi:10.1080/0267257x.2026.2729244
Constructing AI power: anthropomorphising imaginaries of generative AI by AI companies
Glawatzki, A. (2026) · AI & Society · doi:10.1007/s00146-026-03367-1
Košatka, D., Černý, M., & Košatková, M. (2026) · Learning Research and Practice · doi:10.1080/23735082.2026.2731922
Consumer vulnerability in artificial intelligence-driven marketing: A paradox theory lens
Burgess, A. J., & Joubert, A. M. (2026) · Journal of Business Research · doi:10.1016/j.jbusres.2026.116559
Interview with the AI: a quantitative analysis of AI companions’ relationship formation features
Dede, E., Sungur, H., Lemmens, J. S., & Peter, J. (2026) · AI & Society · doi:10.1007/s00146-026-03368-0 · Cited by 1 · see citing works
Manis, K. T., Cockrell, S., & Friske, W. (2026) · Journal of Macromarketing · doi:10.1177/02761467261490922
- Authors
- Valenzuela, A., Puntoni, S., Hoffman, D., Castelo, N., De Freitas, J., Dietvorst, B., Hildebrand, C., Huh, Y. E., Meyer, R., Sweeney, M. E., Talaifar, S., Tomaino, G., & Wertenbroch, K.
- ORCID
- Venue
- Journal of the Association for Consumer Research
- Publisher
- University of Chicago Press
- Published
- 2024-07-01
- Volume
- 9
- Issue
- 3
- Pages
- 241-256
- ISSN
- 2378-1815 (ISSN-L)
- 2378-1823
- OpenAlex
- W4393910664
- Cited by
- 81
- References
- 102
- Citations by year
- 2026: 38 · 2025: 36 · 2024: 7
- FWCI
- 33.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Association for Consumer Research (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- artificial intelligence, customer experience, human autonomy, self-identity, relational dynamics, social behavior, consumer technology adoption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
