Cited by 204Technology Adoption and User BehaviourEthics and Social Impacts of AIAI in Service Interactions

Self-determination and attitudes toward artificial intelligence: cross-national and longitudinal perspectives

Open access
Bergdahl, Jenna, Latikka, Rita, Celuch, Magdalena, Savolainen, Iina, Soares Mantere, Eerik, Savela, Nina, Oksanen, Atte·2023·Telematics and Informatics

Abstract

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.

Integrity signals

Registry

Crossref · 10.1016/j.tele.2023.102013

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • 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.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

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
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

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