Abstract
Behaviours we repeat often tend to become habitual. The process of habit formation in humans is commonly studied in the context of learning an arbitrary association between stimuli and responses. Assessing whether or not this association becomes habitual usually involves testing either whether participants can withhold certain responses or whether participants can generate different responses to certain stimuli. However, studies using these two methods have yielded conflicting findings. Here we propose that this discrepancy arises because these approaches target distinct forms of habit associated with different components of action control: response initiation and response preparation, respectively. Through a series of experiments (total nā=ā215), along with computational models, we show that these two approaches indeed measure dissociable forms of habit. Our results illustrate that a given behaviour can become habitual in multiple, qualitatively different ways, with important implications for how habits can best be promoted or eliminated.
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Data availability
The data supporting the results of this study are available via GitHub at https://github.com/YueDu-Science/Preparation-versus-Initiation.
Code availability
The code for reproducing the experiment and the results is available via GitHub at https://github.com/YueDu-Science/Preparation-versus-Initiation.
References
Robbins, T. W. & Costa, R. M. Habits. Curr. Biol. 27, R1200āR1206 (2017).
Wood, W. & Neal, D. T. A new look at habits and the habitāgoal interface. Psychol. Rev. 114, 843ā863 (2007).
Du, Y., Krakauer, J. W. & Haith, A. M. The relationship between habits and motor skills in humans. Trends Cogn. Sci. 26, 371ā387 (2022).
Gardner, B. & Lally, P. Habit and habitual behaviour. Health Psychol. Rev. https://doi.org/10.1080/17437199.2022.2105249 (2022).
Graybiel, A. M. & Grafton, S. T. The striatum: where skills and habits meet. Cold Spring Harb. Perspect. Biol. 7, a021691 (2015).
James, W. The Principles of Psychology (Macmillan London, 1890).
Toner, J., Montero, B. G. & Moran, A. The perils of automaticity. Rev. Gen. Psychol. 19, 431ā442 (2015).
Wood, W., Quinn, J. M. & Kashy, D. A. Habits in everyday life: thought, emotion, and action. J. Pers. Soc. Psychol. 83, 1281ā1297 (2002).
Wood, W. & Rünger, D. Psychology of habit. Annu. Rev. Psychol. 67, 289ā314 (2016).
Ach, N. On Volition (trans. Herz, T.) (University of Konstanz, Cognitive Psychology, 2006).
Grol, M. J., de Lange, F. P., Verstraten, F. A., Passingham, R. E. & Toni, I. Cerebral changes during performance of overlearned arbitrary visuomotor associations. J. Neurosci. 26, 117ā125 (2006).
Hardwick, R. M., Forrence, A. D., Krakauer, J. W. & Haith, A. M. Time-dependent competition between goal-directed and habitual response preparation. Nat. Hum. Behav. https://doi.org/10.1038/s41562-019-0725-0 (2019).
HĆ©lie, S., Waldschmidt, J. G. & Ashby, F. G. Automaticity in rule-based and information-integration categorization. Atten. Percept. Psychophys. 72, 1013ā1031 (2010).
de Wit, S. et al. Shifting the balance between goals and habits: five failures in experimental habit induction. J. Exp. Psychol. Gen. 147, 1043ā1065 (2018).
Delorme, C. et al. Enhanced habit formation in Gilles de la Tourette syndrome. Brain 139, 605ā615 (2016).
Ersche, K. D. et al. Carrots and sticks fail to change behavior in cocaine addiction. Science 352, 1468ā1471 (2016).
Pool, E. R. et al. Determining the effects of training duration on the behavioral expression of habitual control in humans: a multilaboratory investigation. Learn. Mem. 29, 16ā28 (2022).
Watson, P., Gladwin, T. E., Verhoeven, A. A. C. & De Wit, S. Investigating habits in humans with a symmetrical outcome-revaluation task. Behav. Res. Methods https://doi.org/10.3758/s13428-022-01922-4 (2022).
Waldschmidt, J. G. & Ashby, F. G. Cortical and striatal contributions to automaticity in information-integration categorization. NeuroImage 56, 1791ā1802 (2011).
Ashby, F. G. & Crossley, M. J. Automaticity and multiple memory systems. WIREs Cogn. Sci. 3, 363ā376 (2012).
Luque, D., Molinero, S., Watson, P., López, F. J. & Le Pelley, M. E. Measuring habit formation through goal-directed response switching. J. Exp. Psychol. Gen. 149, 1449ā1459 (2020).
MacLeod, C. M. & Dunbar, K. Training and Stroop-like interference: evidence for a continuum of automaticity. J. Exp. Psychol. Learn. Mem. Cogn. 14, 126ā135 (1988).
Tricomi, E., Balleine, B. W. & OāDoherty, J. P. A specific role for posterior dorsolateral striatum in human habit learning. Eur. J. Neurosci. 29, 2225ā2232 (2009).
De Houwer, J., Tanaka, A., Moors, A. & Tibboel, H. Kicking the habit: why evidence for habits in humans might be overestimated. Motiv. Sci. 4, 50ā59 (2018).
Ceceli, A. O., Myers, C. E. & Tricomi, E. Demonstrating and disrupting well-learned habits. PLoS ONE 15, e0234424 (2020).
Watson, P. & de Wit, S. Current limits of experimental research into habits and future directions. Curr. Opin. Behav. Sci. 20, 33ā39 (2018).
Carlsen, A. N., Chua, R., Inglis, J. T., Sanderson, D. J. & Franks, I. M. Prepared movements are elicited early by startle. J. Mot. Behav. 36, 253ā264 (2004).
Haith, A. M. & Bestmann, S. in The Cognitive Neurosciences (eds Poeppel, D. et al.) 541ā548 (MIT Press, 2020).
Haith, A. M., Pakpoor, J. & Krakauer, J. W. Independence of movement preparation and movement initiation. J. Neurosci. 36, 3007ā3015 (2016).
Heckman, R. L., Ludvig, D. & Perreault, E. J. A motor plan is accessible for voluntary initiation and involuntary triggering at similar short latencies. Exp. Brain Res. 241, 2395ā2407 (2023).
Churchland, M. M. & Shenoy, K. V. Preparatory activity and the expansive null-space. Nat. Rev. Neurosci. 25, 213ā236 (2024).
Kaufman, M. T. et al. The largest response component in the motor cortex reflects movement timing but not movement type. eNeuro 3, 477ā490 (2016).
Kobler, R. J., Kolesnichenko, E., Sburlea, A. I. & Müller-Putz, G. R. Distinct cortical networks for hand movement initiation and directional processing: an EEG study. NeuroImage 220, 117076 (2020).
Lara, A. H., Elsayed, G. F., Zimnik, A. J., Cunningham, J. P. & Churchland, M. M. Conservation of preparatory neural events in monkey motor cortex regardless of how movement is initiated. eLife 7, e31826 (2018).
Wickelgren, W. A. Speedāaccuracy tradeoff and information processing dynamics. Acta Psychol. 41, 67ā85 (1977).
Du, Y., Forrence, A. D., Metcalf, D. M. & Haith, A. M. Action initiation and action inhibition follow the same time course when compared under matched experimental conditions. J. Neurophysiol. 131, 757ā767 (2024).
BƤchtold, D., Baumüller, M. & Brugger, P. Stimulusāresponse compatibility in representational space. Neuropsychologia 36, 731ā735 (1998).
Dehaene, S., Bossini, S. & Giraux, P. The mental representation of parity and number magnitude. J. Exp. Psychol. Gen. 122, 371ā396 (1993).
Fias, W. & Fischer, M. H. in The Handbook of Mathematical Cognition (ed. Campbell, J.) 43ā54 (Psychology Press, 2005).
Fischer, M. H., Castel, A. D., Dodd, M. D. & Pratt, J. Perceiving numbers causes spatial shifts of attention. Nat. Neurosci. 6, 555ā556 (2003).
Gevers, W., Reynvoet, B. & Fias, W. The mental representation of ordinal sequences is spatially organized. Cognition 87, B87āB95 (2003).
Mathieu, R., Gourjon, A., Couderc, A., Thevenot, C. & Prado, J. Running the number line: rapid shifts of attention in single-digit arithmetic. Cognition 146, 229ā239 (2016).
Zhang, M. et al. Spatial representation of ordinal information. Front. Psychol. 7, 505 (2016).
Heitz, R. P. The speedāaccuracy tradeoff: history, physiology, methodology, and behavior. Front. Neurosci. 8, 150 (2014).
Liesefeld, H. R. & Janczyk, M. Combining speed and accuracy to control for speed-accuracy trade-offs(?). Behav. Res. 51, 40ā60 (2019).
Hick, W. E. On the rate of gain of information. Q. J. Exp. Psychol. 4, 11ā26 (1952).
Proctor, R. W. & Schneider, D. W. Hickās law for choice reaction time: a review. Q. J. Exp. Psychol. 71, 1281ā1299 (2018).
Du, Y. & Haith, A. Habits are not automatic. Preprint at PsyArXiv https://doi.org/10.31234/osf.io/gncsf (2023).
Du, Y. & Haith, A. Seemingly āhabitualā responses can be caused by both habits and strategic action selection. OSF https://osf.io/7qs4r/download (2024).
Van Dessel, P. et al. Exploring the role of goal-dependent processes in action slips under time pressure. Motiv. Sci. 10, 128ā137 (2024).
Daw, N. D., Niv, Y. & Dayan, P. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control. Nat. Neurosci. 8, 1704ā1711 (2005).
Thorndike, E. L. Animal intelligence: an experimental study of the associative processes in animals. Psychol. Rev. Monogr. Suppl. 2, iā109 (1898).
Miller, K. J., Shenhav, A. & Ludvig, E. A. Habits without values. Psychol. Rev. 126, 292ā311 (2019).
Piray, P. & Daw, N. D. Linear reinforcement learning in planning, grid fields, and cognitive control. Nat. Commun. 12, 4942 (2021).
Nebe, S., Kretzschmar, A., Brandt, M. C. & Tobler, P. N. Characterizing human habits in the lab. Collabra Psychol. 10, 92949 (2024).
Adams, C. D. Variations in the sensitivity of instrumental responding to reinforcer devaluation. Q. J. Exp. Psychol. Sect. B 34, 77ā98 (1982).
Dickinson, A. Actions and habits: the development of behavioural autonomy. Phil. Trans. R. Soc. Lond. B 308, 67ā78 (1985).
Colwill, R. M. An associative analysis of instrumental learning. Curr. Dir. Psychol. Sci. 2, 111ā116 (1993).
Watson, P. in Habits (ed. Vandaele, Y.) 3ā22 (Springer International, 2024); https://doi.org/10.1007/978-3-031-55889-4_1
de Wit, S., Barker, R. A., Dickinson, A. D. & Cools, R. Habitual versus goal-directed action control in Parkinson disease. J. Cogn. Neurosci. 23, 1218ā1229 (2011).
Everitt, B. J. & Robbins, T. W. Drug addiction: updating actions to habits to compulsions ten years on. Annu. Rev. Psychol. 67, 23ā50 (2016).
Hommel, B. & Wiers, R. W. Towards a unitary approach to human action control. Trends Cogn. Sci. 21, 940ā949 (2017).
Colwill, R. M. & Rescorla, R. A. in Psychology of Learning and Motivation (ed. Bower, G. H.) Vol. 20, 55ā104 (Elsevier, 1986).
Holland, P. C. Cognitive versus stimulusāresponse theories of learning. Learn. Behav. 36, 227ā241 (2008).
Berner, L. A. et al. Impaired belief updating and devaluation in adult women with bulimia nervosa. Transl. Psychiatry 13, 2 (2023).
Buabang, E. K. et al. A goal-directed account of action slips: the reliance on old contingencies. J. Exp. Psychol. Gen. 152, 496ā508 (2023).
De Houwer, J., Buabang, E. K., Boddez, Y., Kƶster, M. & Moors, A. Reasons to remain critical about the literature on habits: a commentary on Wood et al. (2022). Perspect. Psychol. Sci. 18, 871ā875 (2023).
de Wit, S. et al. Corticostriatal connectivity underlies individual differences in the balance between habitual and goal-directed action control. J. Neurosci. 32, 12066ā12075 (2012).
Sjoerds, Z. et al. Slips of action and sequential decisions: a cross-validation study of tasks assessing habitual and goal-directed action control. Front. Behav. Neurosci. 10, 234 (2016).
Haggard, P. Human volition: towards a neuroscience of will. Nat. Rev. Neurosci. 9, 934ā946 (2008).
Elsayed, G. F., Lara, A. H., Kaufman, M. T., Churchland, M. M. & Cunningham, J. P. Reorganization between preparatory and movement population responses in motor cortex. Nat. Commun. 7, 13239 (2016).
De Rugy, A., Loeb, G. E. & Carroll, T. J. Muscle coordination is habitual rather than optimal. J. Neurosci. 32, 7384ā7391 (2012).
Jurado-Parras, M.-T. et al. The dorsal striatum energizes motor routines. Curr. Biol. 30, 4362ā4372.e6 (2020).
Mannell, R. C. & Duthie, J. H. Habit lag: when āautomatizationā is dysfunctional. J. Psychol. 89, 73ā80 (1975).
Verstynen, T. & Sabes, P. N. How each movement changes the next: an experimental and theoretical study of fast adaptive priors in reaching. J. Neurosci. 31, 10050ā10059 (2011).
Wong, A. L., Goldsmith, J., Forrence, A. D., Haith, A. M. & Krakauer, J. W. Reaction times can reflect habits rather than computations. eLife 6, e28075 (2017).
Haith, A. M., Huberdeau, D. M. & Krakauer, J. W. The influence of movement preparation time on the expression of visuomotor learning and savings. J. Neurosci. 35, 5109ā5117 (2015).
Mirabella, G., Pani, P. & Ferraina, S. Neural correlates of cognitive control of reaching movements in the dorsal premotor cortex of rhesus monkeys. J. Neurophysiol. 106, 1454ā1466 (2011).
Resulaj, A., Kiani, R., Wolpert, D. M. & Shadlen, M. N. Changes of mind in decision-making. Nature 461, 263ā266 (2009).
Gardner, B. et al. Developing habit-based health behaviour change interventions: twenty-one questions to guide future research. Psychol. Health 38, 518ā540 (2023).
Kok, G. et al. A taxonomy of behaviour change methods: an intervention mapping approach. Health Psychol. Rev. 10, 297ā312 (2016).
Lally, P. & Gardner, B. Promoting habit formation. Health Psychol. Rev. 7, S137āS158 (2013).
Michie, S. & Prestwich, A. Are interventions theory-based? Development of a theory coding scheme. Health Psychol. 29, 1ā8 (2010).
Quinn, J. M., Pascoe, A., Wood, W. & Neal, D. T. Canāt control yourself? Monitor those bad habits. Pers. Soc. Psychol. Bull. 36, 499ā511 (2010).
Ashby, F. G., Turner, B. O. & Horvitz, J. C. Cortical and basal ganglia contributions to habit learning and automaticity. Trends Cogn. Sci. 14, 208ā215 (2010).
Balsters, J. H. & Ramnani, N. Cerebellar plasticity and the automation of first-order rules. J. Neurosci. 31, 2305ā2312 (2011).
Desmurget, M. & Turner, R. S. Motor sequences and the basal ganglia: kinematics, not habits. J. Neurosci. 30, 7685ā7690 (2010).
HĆ©lie, S. & Cousineau, D. The cognitive neuroscience of automaticity: behavioral and brain signatures. Cogn. Sci. 6, 35ā53 (2011).
Wu, T., Kansaku, K. & Hallett, M. How self-initiated memorized movements become automatic: a functional MRI study. J. Neurophysiol. 91, 1690ā1698 (2004).
Yin, H. H. & Knowlton, B. J. The role of the basal ganglia in habit formation. Nat. Rev. Neurosci. 7, 464ā476 (2006).
Dolan, R. J. & Dayan, P. Goals and habits in the brain. Neuron 80, 312ā325 (2013).
Haith, A. M. & Krakauer, J. W. The multiple effects of practice: skill, habit and reduced cognitive load. Curr. Opin. Behav. Sci. 20, 196ā201 (2018).
Cisek, P. & Kalaska, J. F. Neural correlates of reaching decisions in dorsal premotor cortex: specification of multiple direction choices and final selection of action. Neuron 45, 801ā814 (2005).
Cisek, P. & Kalaska, J. F. Neural mechanisms for interacting with a world full of action choices. Annu. Rev. Neurosci. 33, 269ā298 (2010).
Crammond, D. J. & Kalaska, J. F. Modulation of preparatory neuronal activity in dorsal premotor cortex due to stimulusāresponse compatibility. J. Neurophysiol. 71, 1281ā1284 (1994).
Wise, S. P. & Murray, E. A. Arbitrary associations between antecedents and actions. Trends Neurosci. 23, 271ā276 (2000).
Dudman, J. T. & Krakauer, J. W. The basal ganglia: from motor commands to the control of vigor. Curr. Opin. Neurobiol. 37, 158ā166 (2016).
Park, J., Coddington, L. T. & Dudman, J. T. Basal ganglia circuits for action specification. Annu. Rev. Neurosci. 43, 485ā507 (2020).
Thura, D. & Cisek, P. The basal ganglia do not select reach targets but control the urgency of commitment. Neuron 95, 1160ā1170 (2017).
Turner, R. S. & Desmurget, M. Basal ganglia contributions to motor control: a vigorous tutor. Curr. Opin. Neurobiol. 20, 704ā716 (2010).
Vandaele, Y. & Ahmed, S. H. Habit, choice, and addiction. Neuropsychopharmacology 46, 689ā698 (2021).
Gillan, C. M. et al. Disruption in the balance between goal-directed behavior and habit learning in obsessive-compulsive disorder. Am. J. Psychiatry 168, 718ā726 (2011).
Fujisawa, S., Amarasingham, A., Harrison, M. T. & BuzsĆ”ki, G. Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex. Nat. Neurosci. 11, 823ā833 (2008).
Acknowledgements
This work was supported by National Science Foundation Grant No. 2218406 to A.M.H.
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Y.D. and A.M.H. conceptualized the experiments and wrote the manuscript. Y.D. programmed the task, collected and analysed the data, and prepared the figures.
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Du, Y., Haith, A.M. Dissociable habits of response preparation versus response initiation. Nat Hum Behav 9, 1941ā1958 (2025). https://doi.org/10.1038/s41562-025-02215-4
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DOI: https://doi.org/10.1038/s41562-025-02215-4


