A functional analysis of personal autonomy: How restricting ‘what’, ‘when’ and ‘how’ affects experienced agency and goal motivation

Chao Zhang (Corresponding author), Supraja Sankaran, Henk Aarts

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

4 Citaten (Scopus)

Samenvatting

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.

Originele taal-2Engels
Pagina's (van-tot)567-584
Aantal pagina's18
TijdschriftEuropean Journal of Social Psychology
Volume53
Nummer van het tijdschrift3
DOI's
StatusGepubliceerd - apr. 2023

Financiering

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.

FinanciersFinanciernummer
UMC Utrecht
Utrecht University

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