Abstract
Personal autonomy is central to people's experiences of agency and abilities to actively take part in society. To address the challenges of supporting autonomy, we propose a functional model of autonomy, according to which the experience of agency is a function of the opportunity to determine what to do, when to act and how to act in goal-pursuit. We tested the model in three experiments where the three goal-pursuit components could be constrained by another person or an artificial intelligence (AI) agent. Results showed that removing any of the three components from one's own decisions reduced experienced agency (Study 1a and 1b) and lowered motivation to pursue goals in organisational contexts (Study 2). In comparison to the strong and robust main effects, interactions between the components and the effects of the source of restriction (human vs. AI) were negligible. Implications for personal autonomy, algorithmic decision-making and behaviour change interventions are discussed.
Original language | English |
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Pages (from-to) | 567-584 |
Number of pages | 18 |
Journal | European Journal of Social Psychology |
Volume | 53 |
Issue number | 3 |
DOIs | |
Publication status | Published - Apr 2023 |
Bibliographical note
Funding Information:The reported research is part of the Alliance project “HUMAN‐AI” funded by Utrecht University, Eindhoven University of Technology, Wageningen University and Research, and University Medical Center Utrecht. We thank Nil Akyüz for testing the experimental setup.
Publisher Copyright:
© 2022 The Authors. European Journal of Social Psychology published by John Wiley & Sons Ltd.
Funding
The reported research is part of the Alliance project “HUMAN‐AI” funded by Utrecht University, Eindhoven University of Technology, Wageningen University and Research, and University Medical Center Utrecht. We thank Nil Akyüz for testing the experimental setup.
Keywords
- agency experiences
- behaviour change
- functional analysis
- goal motivation
- goal-directed behaviour
- personal autonomy