(Un)Locking Self-Motivation: Action versus State Orientation Moderates the Effect of Demanding Conditions on Self-Regulatory Performance

DOI

Objective: The present research examined whether individual differences in self-motivation (i.e., action vs. state orientation) moderate the effect of demands on self-regulatory performance. Whereas state-oriented individuals consistently show a locking effect (i.e., impaired self-regulatory performance under demands), it is empirically less clear whether action-oriented individuals need at least some demands to unlock their self-motivation potential. Method: In three studies (N1=164, N2=120, N3=113), we examined the impact of demanding conditions (Study 1: subjective listlessness; Studies 2&3: uncompleted vs. completed intention) on action- and state-oriented individuals in established self-regulatory tasks (Studies 1&2: Stroop task; Study 3: Grid task). Tasks required self-regulation when congruent Stroop stimuli were frequent (vs. rare) and target shifts in the Grid task self-initiated (vs. externally cued). Results: Across all studies, action versus state orientation moderated the effect of demands on self-regulatory performance. Action-oriented participants showed fewer errors (pStudy1=.074, pStudy2=.036) and faster self-initiated target shifts (pStudy3=.046) under moderate compared to low demands. State-oriented participants showed trends in the opposite direction. Conclusions: The findings show that action-oriented individuals do not unlock their self-motivation potential unless there is some kind of demand. This dynamic suggests that action orientation is neither good nor bad but has opposing effects under different demand levels.

Identifier
DOI https://doi.org/10.23668/psycharchives.4985
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.4985
Provenance
Creator Waldenmeier, Karla; Friederichs, Katja; Kuhl, Julius; Baumann, Nicola
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID)
Publication Year 2021
Rights CC-BY 4.0; openAccess; Creative Commons Attribution 4.0 International
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences