Not logged in.
Quick Search - Contribution
Contribution Details
Type | Working Paper |
Scope | Discipline-based scholarship |
Title | Characterizing human habits in the lab |
Organization Unit | |
Authors |
|
Language |
|
Institution | Society for the Improvement of Psychological Science |
Series Name | PsyArXiv Preprints |
Number | tgf27 |
Number of Pages | 69 |
Date | 2022 |
Abstract Text | Habits pose a fundamental puzzle for those aiming to understand human behavior. They pervade our everyday lives and dominate some forms of psychopathology but are extremely hard to elicit in the lab. In this Registered Report, we develop novel experimental paradigms grounded in computational models, which suggest that habit strength should be proportional to the frequency of behavior and, in contrast to previous research, independent of value. Specifically, we manipulate how often participants perform responses in two tasks varying action repetition without, or separately from, variations in value. Moreover, we ask how this frequency-based habitization relates to value-based operationalizations of habit and self-reported propensities for habitual behavior in real life. |
Digital Object Identifier | 10.31234/osf.io/tgf27 |
Other Identification Number | merlin-id:23277 |
PDF File | Download from ZORA |
Export |
BibTeX
EP3 XML (ZORA) |
Keywords | Habit, value-based decision making, goal-directed control, computational modeling, training |