Self-determination and attitudes toward artificial intelligence: cross-national and longitudinal perspectives
Open accessAbstract
Artificial intelligence (AI) is becoming increasingly important in all domains of life. Therefore, it is crucial to understand individuals’ attitudes towards AI. This article investigated attitudes toward AI through two studies that are based on the self-determination theory and basic psychological needs (autonomy, competence, and relatedness). Study 1 used cross-sectional samples of adult populations aged 18–75 in Finland (N = 1,541), France (N = 1,561), Germany (N = 1,529), Ireland (N = 1,112), Italy (N = 1,530), and Poland (N = 1,533). Study 2 was based on a longitudinal two-wave sample of adults aged 18–80 from Finland (N = 828). Based on the robust regression analyses, Study 1 found that basic psychological needs were associated with higher AI positivity and lower AI negativity across Europe. According to the Study 2 results, based on hybrid multilevel regression models, autonomy and relatedness increased AI positivity and decreased AI negativity over time. The results provide robust evidence on the role of self-determination in attitudes towards AI. Self-determination is an important factor in AI acceptance and is becoming increasingly important considering the rapid development and adoption of AI solutions.
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Bergdahl et al. (2023) find that individuals' social motives significantly influence their acceptance of AI technologies and their willingness to collaborate.
“Consistent with this view, Bergdahl et al. (2023) also find that individuals’ social motives significantly influence their acceptance of AI technologies and their willingness to collaborate.”
From From humans to AI: understanding why AI is perceived as the preferred co-creation partner (2025) · cites this paper as Bergdahl et al., 2023
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
The "what" and "why" of goal pursuits: Human needs and the self-determination of behavior
Deci, E. L., & Ryan, R. M. (2000) · Psychological Inquiry · doi:10.1207/s15327965pli1104_01 · Cited by 34,210 · cited 17× · see citing works
“Attitudes toward AI have not previously been studied through the dimensions of the social psychological self-determination theory (SDT; Ryan and Deci, 2017).”
InfluentialSocial Foundations of Postindustrial Economies
Esping-Andersen, G. (1999) · doi:10.1093/0198742002.001.0001 · Cited by 6,253 · see citing works
(2005) · Cited by 3,670 · see citing works
Self-Determination Theory in Work Organizations: The State of a Science
Deci, E. L., Olafsen, A. H., & Ryan, R. M. (2017) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-032516-113108 · Cited by 3,199 · see citing works
Basic psychological need satisfaction, need frustration, and need strength across four cultures
Chen, B., Vansteenkiste, M., Beyers, W., Boone, L., Deci, E. L., Van der Kaap-Deeder, J., Duriez, B., Lens, W., Matos, L., Mouratidis, A., et al. (2015) · Motivation and Emotion · doi:10.1007/s11031-014-9450-1 · Cited by 2,507 · see citing works
Technology acceptance model: a literature review from 1986 to 2013
Marangunić, N., & Granić, A. (2015) · Universal Access in the Information Society · doi:10.1007/s10209-014-0348-1 · Cited by 2,458 · see citing works
The forthcoming artificial intelligence (AI) revolution: Its impact on society and firms
Makridakis, S. (2017) · Futures · doi:10.1016/j.futures.2017.03.006 · Cited by 1,866 · cited 1× · see citing works
“Most of the devices, systems, and technologies we use every day utilize AI (Makridakis, 2017; Olhede and Wolfe, 2018; Reinhart, 2018; Schepman and Rodway, 2020).”
A Review of Self-Determination Theory’s Basic Psychological Needs at Work
Van den Broeck, A., Ferris, D. L., Chang, C.-H., & Rosen, C. C. (2016) · Journal of Management · doi:10.1177/0149206316632058 · Cited by 1,465 · cited 1× · see citing works
“In recent years, SDT has been applied to many areas, including education, healthcare, work life (e.g., Buck et al., 2022; Van den Broeck et al., 2016; Ryan, 2023; Xia et al., 2022), and technology use (Peters et al. 2018).”
How Technology Is Changing Work and Organizations
Cascio, W. F., & Montealegre, R. (2016) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-041015-062352 · Cited by 1,277 · see citing works
What factors contribute to the acceptance of artificial intelligence? A systematic review
Kelly, S., Kaye, S.-A., & Oviedo-Trespalacios, Ó. (2022) · Telematics and Informatics · doi:10.1016/j.tele.2022.101925 · Cited by 1,027 · see citing works
Trust in AI and Its Role in the Acceptance of AI Technologies
Choung, H., David, P., & Ross, A. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2050543 · Cited by 963 · cited 2× · see citing works
“Previous studies have also stated that people ’ s general attitudes toward AI are linked to their acceptance and the use of AI in their daily lives (Choung et al., 2023; Gillespie et al., 2021; Kelly et al., 2023; Lancelot Miltgen et al., 2013; Schepman and Rodway, 2020; Schepman and Rodway, 2022).”
Artificial intelligence, bias and clinical safety
Challen, R., Denny, J., Pitt, M., Gompels, L., Edwards, T., & Tsaneva-Atanasova, K. (2019) · BMJ Quality & Safety · doi:10.1136/bmjqs-2018-008370 · Cited by 956 · see citing works
Designing for Motivation, Engagement and Wellbeing in Digital Experience
Peters, D., Calvo, R. A., & Ryan, R. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00797 · Cited by 797 · see citing works
Initial validation of the general attitudes towards Artificial Intelligence Scale
Schepman, A., & Rodway, P. (2020) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2020.100014 · Cited by 785 · see citing works
Replicability, Robustness, and Reproducibility in Psychological Science
Nosek, B. A., Hardwicke, T. E., Moshontz, H., Allard, A., Corker, K. S., Dreber, A., Fidler, F., Hilgard, J., Kline Struhl, M., Nuijten, M. B., et al. (2022) · Annual Review of Psychology · doi:10.1146/annurev-psych-020821-114157 · Cited by 770 · see citing works
Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir Kaya, M. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2151730 · Cited by 688 · see citing works
Schunck, R., & Perales, F. (2013) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x1701700106 · Cited by 588 · see citing works
Cao, G., Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2021) · Technovation · doi:10.1016/j.technovation.2021.102312 · Cited by 571 · cited 1× · see citing works
“By studying people ’ s attitudes, we can better explain the decision-making and behavior of both individuals and communities (Cao et al., 2021; Edison and Geissler, 2003).”
Schunck, R. (2013) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x1301300105 · Cited by 529 · see citing works
Sheldon, K. M., Abad, N., & Hinsch, C. (2011) · Journal of Personality and Social Psychology · doi:10.1037/a0022407 · Cited by 514 · see citing works
Schepman, A., & Rodway, P. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2085400 · Cited by 503 · see citing works
Sørebø, Ø., Halvari, H., Gulli, V. F., & Kristiansen, R. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.06.001 · Cited by 490 · see citing works
Xia, Q., Chiu, T. K. F., Lee, M., Sanusi, I. T., Dai, Y., & Chai, C. S. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104582 · Cited by 469 · see citing works
Artificial Intelligence: American Attitudes and Trends
Zhang, B., & Dafoe, A. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3312874 · Cited by 464 · see citing works
Miltgen, C. L., Popovič, A., & Oliveira, T. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.05.010 · Cited by 460 · see citing works
Milfont, T. L., & Sibley, C. G. (2012) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2011.12.006 · Cited by 445 · see citing works
Yang, C.-C. (2016) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2016.0201 · Cited by 424 · cited 1× · see citing works
“For instance, using social media can provide a sense of relatedness by enabling individuals to connect with others, but it can also be influenced by social comparison and lead to negative effects (Lin, 2016; Sheldon et al., 2011; Yang, 2016).”
Verardi, V., & Croux, C. (2009) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900306 · Cited by 402 · see citing works
Johnson, D. G., & Verdicchio, M. (2017) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23867 · Cited by 402 · see citing works
Short measurements of personality – Validity and reliability of the GSOEP Big Five Inventory (BFI-S)
Hahn, E., Gottschling, J., & Spinath, F. M. (2012) · Journal of Research in Personality · doi:10.1016/j.jrp.2012.03.008 · Cited by 365 · see citing works
The Oxford Handbook of Self-Determination Theory
(2023) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197600047.001.0001 · Cited by 290 · see citing works
Park, J., & Woo, S. E. (2022) · The Journal of Psychology · doi:10.1080/00223980.2021.2012109 · Cited by 243 · see citing works
Measuring attitudes towards general technology: Antecedents, hypotheses and scale development
Edison, S. W., & Geissler, G. L. (2003) · Journal of Targeting Measurement and Analysis for Marketing · doi:10.1057/palgrave.jt.5740104 · Cited by 218 · see citing works
Lee, Y., Lee, J., & Hwang, Y. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.05.021 · Cited by 215 · see citing works
Liang, Y., & Lee, S. A. (2017) · International Journal of Social Robotics · doi:10.1007/s12369-017-0401-3 · Cited by 197 · see citing works
Sindermann, C., Yang, H., Elhai, J. D., Yang, S., Quan, L., Li, M., & Montag, C. (2022) · Discover Psychology · doi:10.1007/s44202-022-00020-y · Cited by 175 · see citing works
Extremes of acceptance: Employee attitudes toward artificial intelligence
Lichtenthaler, U. (2019) · Journal of Business Strategy · doi:10.1108/jbs-12-2018-0204 · Cited by 164 · see citing works
Exploring the emotional antecedents and outcomes of technology acceptance
Lu, Y., Papagiannidis, S., & Alamanos, E. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.08.056 · Cited by 156 · see citing works
General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study
Buck, C., Doctor, E., Hennrich, J., Jöhnk, J., & Eymann, T. (2022) · Journal of Medical Internet Research · doi:10.2196/28916 · Cited by 147 · see citing works
Ferrara, B., Pansini, M., Vincenzi, C. D., Buonomo, I., & Benevene, P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912373 · Cited by 134 · see citing works
The growing ubiquity of algorithms in society: implications, impacts and innovations
Olhede, S. C., & Wolfe, P. J. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2017.0364 · Cited by 120 · see citing works
Robot Acceptance at Work: A Multilevel Analysis Based on 27 EU Countries
Turja, T., & Oksanen, A. (2019) · International Journal of Social Robotics · doi:10.1007/s12369-019-00526-x · Cited by 107 · see citing works
Self-citationTrust in artificial Intelligence: a five country study
Gillespie, N., Lockey, S., & Curtis, C. (2021) · doi:10.14264/e34bfa3 · Cited by 104 · see citing works
Lin, J.-H. (2016) · Asian Journal of Communication · doi:10.1080/01292986.2015.1126749 · Cited by 102 · see citing works
Impacts of Attitudes Toward Government and Corporations on Public Trust in Artificial Intelligence
Chen, Y.-N. K., & Wen, C.-H. R. (2020) · Communication Studies · doi:10.1080/10510974.2020.1807380 · Cited by 80 · see citing works
Şahin, F., & Şahin, Y. L. (2022) · Social Psychology of Education · doi:10.1007/s11218-022-09702-w · Cited by 68 · see citing works
Moradbakhti, L., Schreibelmayr, S., & Mara, M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.855091 · Cited by 67 · see citing works
AI and the Ethics of Automating Consent
Jones, M. L., Kaufman, E. M., & Edenberg, E. (2018) · IEEE Security & Privacy · doi:10.1109/msp.2018.2701155 · Cited by 50 · see citing works
Design Foundations for AI Assisted Decision Making: A Self Determination Theory Approach
De Vreede, T., Raghavan, M., & De Vreede, G.-J. (2021) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2021.019 · Cited by 42 · see citing works
Public Policy and Regulatory Challenges of Artificial Intelligence (AI)
Misra, S. K., Das, S., Gupta, S., & Sharma, S. K. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-64849-7_10 · Cited by 36 · see citing works
Law, liberty and technology: criminal justice in the context of smart machines
Brownsword, R., & Harel, A. (2019) · International Journal of Law in Context · doi:10.1017/s1744552319000065 · Cited by 27 · see citing works
Expectations and Anxieties Affecting Attitudes toward Artificial Intelligence Revolution
이창섭, & 이현정 (2019) · The Journal of the Korea Contents Association · doi:10.5392/jkca.2019.19.09.037 · Cited by 15 · see citing works
How the Use of iPad and Smartphones Creates Social Isolation
Muhammad, N. M., Schneider, M., Hill, A., et al. (2019) · Society for Information Technology & Teacher Education International Conference · Cited by 7 · see citing works
Lack of Replication or Generalization? Cultural Values Explain a Question Wording Effect
Silber, H., Tvinnereim, E. M., Stark, T., Blom, A. G., Krosnick, J. A., Bošnjak, M., Clement, S. L., Cornilleau, A., Cousteaux, A.-S., John, M., et al. (2021) · Journal of Survey Statistics and Methodology · doi:10.1093/jssam/smab007 · Cited by 4 · see citing works
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How Much Does AI Impact Development Speed? an Enterprise-Based Randomized Controlled Trial
Paradis, E., Grey, K., Madison, Q., Nam, D., Macvean, A., Meimand, V., Zhang, N., Ferrari-Church, B., & Chandra, S. (2025) · 2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) · doi:10.1109/icse-seip66354.2025.00060 · Cited by 20 · see citing works
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- Authors
- Bergdahl, J., Latikka, R., Celuch, M., Savolainen, I., Soares Mantere, E., Savela, N., & Oksanen, A.
- Affiliations
- Tampere University (FI)
- Lappeenranta-Lahti University of Technology (FI)
- Corresponding author
- Bergdahl, Jenna
- Venue
- Telematics and Informatics
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 82
- Pages
- 102013
- ISSN
- 0736-5853 (ISSN-L)
- OpenAlex
- W4382725812
- Cited by
- 204
- References
- 56
- Citations by year
- 2026: 83 · 2025: 88 · 2024: 26 · 2023: 7
- FWCI
- 52.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Telematics and Informatics (publishedVersion, cc-by-nc-nd)
- Työväentutkimus Vuosikirja (submittedVersion)
- Tampere University Institutional Repository (Tampere University) (submittedVersion, cc-by-nc-nd)
- Funders
- Koneen Säätiö (202011325)
- Tampereen Yliopisto
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- attitudes toward AI, self-determination theory, basic psychological needs, autonomy, competence, relatedness, AI acceptance, cross-national comparison, longitudinal change in attitudes, European adults
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