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Anticipating cognitive effort: roles of perceived error-likelihood and time demands

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Abstract

Why are some actions evaluated as effortful? In the present set of experiments we address this question by examining individuals’ perception of effort when faced with a trade-off between two putative cognitive costs: how much time a task takes vs. how error-prone it is. Specifically, we were interested in whether individuals anticipate engaging in a small amount of hard work (i.e., low time requirement, but high error-likelihood) vs. a large amount of easy work (i.e., high time requirement, but low error-likelihood) as being more effortful. In between-subject designs, Experiments 1 through 3 demonstrated that individuals anticipate options that are high in perceived error-likelihood (yet less time consuming) as more effortful than options that are perceived to be more time consuming (yet low in error-likelihood). Further, when asked to evaluate which of the two tasks was (a) more effortful, (b) more error-prone, and (c) more time consuming, effort-based and error-based choices closely tracked one another, but this was not the case for time-based choices. Utilizing a within-subject design, Experiment 4 demonstrated overall similar pattern of judgments as Experiments 1 through 3. However, both judgments of error-likelihood and time demand similarly predicted effort judgments. Results are discussed within the context of extant accounts of cognitive control, with considerations of how error-likelihood and time demands may independently and conjunctively factor into judgments of cognitive effort.

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References

  • Ackerman, R., & Thompson, V. A. (2017). Meta-reasoning: Monitoring and control of thinking and reasoning. Trends in Cognitive Sciences, 21(8), 607–617.

    Article  PubMed  Google Scholar 

  • Akçay, Ç., & Hazeltine, E. (2007). Conflict monitoring and feature overlap: Two sources of sequential modulations. Psychonomic Bulletin and Review, 14(4), 742–748.

    Article  PubMed  Google Scholar 

  • Alain, C., McNeely, H. E., He, Y., Christensen, B. K., & West, R. (2002). Neurophysiological evidence of error-monitoring deficits in patients with schizophrenia. Cerebral Cortex, 12(8), 840–846.

    Article  PubMed  Google Scholar 

  • Apps, M. A., Grima, L. L., Manohar, S., & Husain, M. (2015). The role of cognitive effort in subjective reward devaluation and risky decision-making. Scientific Reports, 5, 16880.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ashcraft, M. H., & Faust, M. W. (1994). Mathematics anxiety and mental arithmetic performance: An exploratory investigation. Cognition and Emotion, 8(2), 97–125.

    Article  Google Scholar 

  • Baddeley, A. D., & Hitch, G. (1974). Working memory. Psychology of Learning and Motivation, 8, 47–89.

    Article  Google Scholar 

  • Bates, A. T., Kiehl, K. A., Laurens, K. R., & Liddle, P. F. (2002). Error-related negativity and correct response negativity in schizophrenia. Clinical Neurophysiology, 113(9), 1454–1463.

    Article  PubMed  Google Scholar 

  • Behrens, T. E., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. (2007). Learning the value of information in an uncertain world. Nature Neuroscience, 10(9), 1214–1221.

    Article  PubMed  Google Scholar 

  • Bijleveld, E., Custers, R., & Aarts, H. (2009). The unconscious eye opener: Pupil dilation reveals strategic recruitment of resources upon presentation of subliminal reward cues. Psychological Science, 20(11), 1313–1315.

    Article  PubMed  Google Scholar 

  • Blain, B., Hollard, G., & Pessiglione, M. (2016). Neural mechanisms underlying the impact of daylong cognitive work on economic decisions. Proceedings of the National Academy of Sciences, 113(25), 6967–6972.

    Article  Google Scholar 

  • Boehler, C. N., Hopf, J. M., Krebs, R. M., Stoppel, C. M., Schoenfeld, M. A., Heinze, H. J., & Noesselt, T. (2011). Task-load-dependent activation of dopaminergic midbrain areas in the absence of reward. Journal of Neuroscience, 31(13), 4955–4961.

    Article  PubMed  Google Scholar 

  • Botvinick, M. M. (2007). Conflict monitoring and decision making: reconciling two perspectives on anterior cingulate function. Cognitive, Affective, & Behavioral Neuroscience, 7(4), 356–366.

    Article  Google Scholar 

  • Botvinick, M. M., & Braver, T. S. (2015). Motivation and cognitive control: From behavior to neural mechanism. Annual Review of Psychology, 66, 83–113.

    Article  PubMed  Google Scholar 

  • Botvinick, M. M., & Cohen, J. D. (2014). The computational and neural basis of cognitive control: charted territory and new frontiers. Cognitive Science, 38(6), 1249–1285.

    Article  PubMed  Google Scholar 

  • Botvinick, M. M., Huffstetler, S., & McGuire, J. T. (2009). Effort discounting in human nucleus accumbens. Cognitive, Affective, and Behavioral Neuroscience, 9(1), 16–27.

    Article  Google Scholar 

  • Botvinick, M. M., & Rosen, Z. B. (2009). Anticipation of cognitive demand during decision-making. Psychological Research PRPF, 73(6), 835–842.

    Article  Google Scholar 

  • Boureau, Y. L., Sokol-Hessner, P., & Daw, N. D. (2015). Deciding how to decide: Self control and meta-decision making. Trends in Cognitive Sciences, 19(11), 700–710.

    Article  PubMed  Google Scholar 

  • Brown, J. W., & Braver, T. S. (2005). Learned predictions of error likelihood in the anterior cingulate cortex. Science, 307(5712), 1118–1121.

    Article  PubMed  Google Scholar 

  • Brown, J. W., & Braver, T. S. (2007). Risk prediction and aversion by anterior cingulate cortex. Cognitive, Affective, & Behavioral Neuroscience, 7(4), 266–277.

    Article  Google Scholar 

  • Bryce, D., & Bratzke, D. (2014). Introspective reports on reaction times in dual-tasks reflect experienced difficulty rather than the timing of cognitive processes. Consciousness and Cognition, 27, 254–267.

    Article  PubMed  Google Scholar 

  • Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s Mechanical Turk a new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3–5.

    Article  PubMed  Google Scholar 

  • Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116–131.

    Article  Google Scholar 

  • Cameron, D., Hutcherson, C., Ferguson, A. M., Scheffer, J. A., & Inzlicht, M. (2017). Empathy is hard work: People choose to avoid empathy because of its cognitive costs. http://psyarxiv.com/jkc4n. Accessed 25 Sept 2017.

  • Chong, T. T. J., Apps, M., Giehl, K., Sillence, A., Grima, L. L., & Husain, M. (2017). Neurocomputational mechanisms underlying subjective valuation of effort costs. PLoS Biology, 15(2), e1002598.

    Article  PubMed  PubMed Central  Google Scholar 

  • Danckert, J. A., & Allman, A. A. A. (2005). Time flies when you’re having fun: Temporal estimation and the experience of boredom. Brain and Cognition, 59(3), 236–245.

    Article  PubMed  Google Scholar 

  • Davenport, H. J. (1911). Cost and its significance. The American Economic Review, 1(4), 724–752.

    Google Scholar 

  • Dehaene, S., Posner, M. I., & Tucker, D. M. (1994). Localization of a neural system for error detection and compensation. Psychological Science, 5(5), 303–305.

    Article  Google Scholar 

  • Desender, K., Buc Calderon, C., Van Opstal, F., & Van den Bussche, E. (2017a). Avoiding the conflict: Metacognitive awareness drives the selection of low-demand contexts. Journal of Experimental Psychology: Human Perception and Performance, 43(7), 1397–1410.

    PubMed  Google Scholar 

  • Desender, K., Van Opstal, F., & Van den Bussche, E. (2017b). Subjective experience of difficulty depends on multiple cues. Scientific Reports, 7, 44222. https://doi.org/10.1038/srep44222.

    Article  PubMed  PubMed Central  Google Scholar 

  • Diede, N. T., & Bugg, J. M. (2017). Cognitive effort is modulated outside of the explicit awareness of conflict frequency: Evidence from pupillometry. Journal of Experimental Psychology. Learning, Memory, and Cognition, 43(5), 824–835.

    Article  PubMed  PubMed Central  Google Scholar 

  • Dixon, M. L., & Christoff, K. (2012). The decision to engage cognitive control is driven by expected reward-value: Neural and behavioral evidence. PLoS One, 7(12), e51637.

    Article  PubMed  PubMed Central  Google Scholar 

  • Dreisbach, G., & Fischer, R. (2012). Conflicts as aversive signals. Brain and Cognition, 78(2), 94–98.

    Article  PubMed  Google Scholar 

  • Dunn, T. L., Koehler, D. J., & Risko, E. F. (2017). Evaluating effort: Influences of evaluation mode on judgments of task-specific efforts. Journal of Behavioral Decision Making, 30(4), 869–888.

    Article  Google Scholar 

  • Dunn, T. L., Lutes, D. J. C., & Risko, E. F. (2016). Metacognitive evaluation in the avoidance of demand. Journal of Experimental Psychology: Human Perception and Performance, 42(9), 1372–1387.

    PubMed  Google Scholar 

  • Dunn, T. L., & Risko, E. F. (2016a). Toward a metacognitive account of cognitive offloading. Cognitive Science, 40(5), 1080–1127.

    Article  PubMed  Google Scholar 

  • Dunn, T. L., & Risko, E. F. (2016b). Understanding the Cognitive Miser: Cue-utilization in Effort Avoidance. https://www.researchgate.net/publication/303543690_Understanding_the_Cognitive_Miser_Cue-utilization_in_Effort_Avoidance. Accessed 01 May 2016.

  • Eriksen, C. W. (1995). The flankers task and response competition: A useful tool for investigating a variety of cognitive problems. Visual Cognition, 2–3, 101–118.

    Article  Google Scholar 

  • Evans, J. S. B., & Stanovich, K. E. (2013). Dual-process theories of higher cognition: Advancing the debate. Perspective on Psychological Science, 8(3), 223–241.

    Article  Google Scholar 

  • Falkenstein, M., Hoormann, J., Christ, S., & Hohnsbein, J. (2000). ERP components on reaction errors and their functional significance: A tutorial. Biological Psychology, 51(2), 87–107.

    Article  PubMed  Google Scholar 

  • Feng, S. F., Schwemmer, M., Gershman, S. J., & Cohen, J. D. (2014). Multitasking versus multiplexing: Toward a normative account of limitation in the simultaneous execution of control-demanding behaviors. Cognitive, Affective, and Behavioral Neuroscience, 14(1), 129–146.

    Article  Google Scholar 

  • Forster, K. I., & Forster, J. C. (2003). DMDX: A windows display program with millisecond accuracy. Behavior Research Methods, Instruments, and Computers, 35, 116–124.

    Article  PubMed  Google Scholar 

  • Frank, M. J., Woroch, B. S., & Curran, T. (2005). Error-related negativity predicts reinforcement learning and conflict biases. Neuron, 47(4), 495–501.

    Article  PubMed  Google Scholar 

  • Gehring, W. J., & Fencsik, D. E. (2001). Functions of the medial frontal cortex in the processing of conflict and errors. Journal of Neuroscience, 21(23), 9430–9437.

    Article  PubMed  Google Scholar 

  • Gehring, W. J., Goss, B., Coles, M. G., Meyer, D. E., & Donchin, E. (1993). A neural system for error detection and compensation. Psychological Science, 4(6), 385–390.

    Article  Google Scholar 

  • Gehring, W. J., Himle, J., & Nisenson, L. G. (2000). Action-monitoring dysfunction in obsessive-compulsive disorder. Psychological Science, 11(1), 1–6.

    Article  PubMed  Google Scholar 

  • Gershman, S. J., Horvitz, E. J., & Tenenbaum, J. B. (2015). Computational rationality: A converging paradigm for intelligence in brains, minds, and machines. Science, 349(6245), 273–278.

    Article  PubMed  Google Scholar 

  • Gigerenzer, G. (2008). Why heuristics work. Perspectives on Psychological Science, 3(1), 20–29.

    Article  PubMed  Google Scholar 

  • Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103(4), 650–669.

    Article  PubMed  Google Scholar 

  • Gigerenzer, G., Todd, P. M., & ABC Research Group. (1999). Simple heuristics that makes us smart. New York, NY: Oxford University Press.

    Google Scholar 

  • Gläscher, J., Hampton, A. N., & O’Doherty, J. P. (2009). Determining a role for ventromedial prefrontal cortex in encoding action-based value signals during reward-related decision making. Cerebral Cortex, 19(2), 483–495.

    Article  PubMed  Google Scholar 

  • Gold, J. M., Kool, W., Botvinick, M. M., Hubzin, L., August, S., & Waltz, J. A. (2015). Cognitive effort avoidance and detection in people with schizophrenia. Cognitive, Affective, & Behavioral Neuroscience, 15(1), 145–154.

    Article  Google Scholar 

  • Gray, W. D., Sims, C. R., Fu, W.-T., & Schoelles, M. J. (2006). The soft constraints hypothesis: A rational analysis approach to resource allocation for interactive behavior. Psychological Review, 113(3), 461–482.

    Article  PubMed  Google Scholar 

  • Griffiths, T. L., Lieder, F., & Goodman, N. D. (2015). Rational use of cognitive resources: Levels of analysis between the computational and the algorithmic. Topics in Cognitive Science, 7(2), 217–229.

    Article  PubMed  Google Scholar 

  • Hajcak, G., & Foti, D. (2008). Errors are aversive: Defensive motivation and the error related negativity. Psychological Science, 19(2), 103–108.

    Article  PubMed  Google Scholar 

  • Hajcak, G., McDonald, N., & Simons, R. F. (2003). To err is autonomic: Error-related brain potentials, ANS activity, and post-error compensatory behavior. Psychophysiology, 40(6), 895–903.

    Article  PubMed  Google Scholar 

  • Hajcak, G., McDonald, N., & Simons, R. F. (2004). Error-related psychophysiology and negative affect. Brain and Cognition, 56(2), 189–197.

    Article  PubMed  Google Scholar 

  • Hajcak, G., Moser, J. S., Yeung, N., & Simons, R. F. (2005). On the ERN and the significance of errors. Psychophysiology, 42(2), 151–160.

    Article  PubMed  Google Scholar 

  • Hernandez-Lallement, J., van Wingerden, M., Marx, C., Srejic, M., & Kalenscher, T. (2014). Rats prefer mutual rewards in a prosocial choice task. Frontiers in Neuroscience, 8, 443.

    PubMed  Google Scholar 

  • Hockey, G. R. J. (2011). A motivational control theory of cognitive fatigue. In P. L. Ackerman (Ed.), Cognitive fatigue: Multidisciplinary perspectives on current research and future applications (pp. 167–188). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  • Holroyd, C. B., & Coles, M. G. (2002). The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109(4), 679–709.

    Article  PubMed  Google Scholar 

  • Inzlicht, M., Bartholow, B. D., & Hirsh, J. B. (2015). Emotional foundations of cognitive control. Trends in Cognitive Sciences, 19(3), 126–132.

    Article  PubMed  PubMed Central  Google Scholar 

  • Inzlicht, M., Schmeichel, B. J., & Macrae, C. N. (2014). Why self-control seems (but may not be) limited. Trends in Cognitive Sciences, 18(3), 127–133.

    Article  PubMed  Google Scholar 

  • Jeffreys, H. (1961). Theory of probability (3rd ed.). Oxford, England: Oxford University Press.

    Google Scholar 

  • John, O. P., & Srivastava, S. (1999). The Big-Five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (Vol. 2, pp. 102–138). New York: Guilford Press.

    Google Scholar 

  • Jordan, K., & Huntsman, L. A. (1990). Image rotation of misoriented letter strings: Effects of orientation cuing and repetition. Perception and Psychophysics, 48(4), 363–374.

    Article  PubMed  Google Scholar 

  • Kahneman, D. (1973). Attention and effort. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Kahneman, D., & Beatty, J. (1966). Pupil diameter and load on memory. Science, 154(3756), 1583–1585.

    Article  PubMed  Google Scholar 

  • Kahneman, D., Tursky, B., Shapiro, D., & Crider, A. (1969). Pupillary, heart rate, and skin resistance changes during a mental task. Journal of Experimental Psychology, 79(1, Pt 1), 164–167.

    Article  PubMed  Google Scholar 

  • Kahneman, D., & Tversky, A. (1996). On the reality of cognitive illusions. Psychological Review, 103(3), 582–591.

    Article  PubMed  Google Scholar 

  • Kerns, J. G., Cohen, J. D., MacDonald, A. W., Cho, R. Y., Stenger, V. A., & Carter, C. S. (2004). Anterior cingulate conflict monitoring and adjustments in control. Science, 303(5660), 1023–1026.

    Article  PubMed  Google Scholar 

  • Klein-Flügge, M. C., Kennerley, S. W., Friston, K., & Bestmann, S. (2016). Neural signatures of value comparison in human cingulate cortex during decisions requiring an effort-reward trade-off. Journal of Neuroscience, 36(39), 10002–10015.

    Article  PubMed  Google Scholar 

  • Kolling, N., Behrens, T. E. J., Wittmann, M. K., & Rushworth, M. F. S. (2016). Multiple signals in anterior cingulate cortex. Current Opinion in Neurobiology, 37, 36–43.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kool, W., & Botvinick, M. M. (2014). A labor/leisure tradeoff in cognitive control. Journal of Experimental Psychology: General, 143(1), 131–141.

    Article  Google Scholar 

  • Kool, W., McGuire, J. T., Rosen, Z. B., & Botvinick, M. M. (2010). Decision making and the avoidance of cognitive demand. Journal of Experimental Psychology: General, 139(4), 665–682.

    Article  Google Scholar 

  • Koriat, A., & Norman, J. (1984). What is rotated in mental rotation? Journal of Experimental Psychology. Learning, Memory, and Cognition, 10(3), 421–434.

    Article  PubMed  Google Scholar 

  • Kruschke, J. K. (2013). Bayesian estimation supersedes the t test. Journal of Experimental Psychology: General, 142(2), 573–603.

    Article  Google Scholar 

  • Kurzban, R. (2016). The sense of effort. Current Opinion in Psychology, 7, 67–70.

    Article  Google Scholar 

  • Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013). An opportunity cost model of subjective effort and task performance. Behavioral and Brain Sciences, 36(6), 661–679.

    Article  PubMed  Google Scholar 

  • Lawrence, M. A. (2015). ez: Easy analysis and visualization of factorial experiments. R package version 4.3. http://CRAN.Rproject.org/package=ez. Accessed 01 Mar 2016.

  • Lee, M. D., & Wagenmakers, E. J. (2013). Bayesian data analysis for cognitive science: A practical course. New York, NY: Cambridge University Press.

    Book  Google Scholar 

  • Lu, C. H., & Proctor, R. W. (1995). The influence of irrelevant location information on performance: A review of the Simon and spatial Stroop effects. Psychonomic Bulletin and Review, 2(2), 174–207.

    Article  PubMed  Google Scholar 

  • Luu, P., Collins, P., & Tucker, D. M. (2000). Mood, personality, and self-monitoring: Negative affect and emotionality in relation to frontal lobe mechanisms of error monitoring. Journal of Experimental Psychology: General, 129(1), 43–60.

    Article  Google Scholar 

  • Luu, P., Tucker, D. M., Derryberry, D., Reed, M., & Poulsen, C. (2003). Electrophysiological responses to errors and feedback in the process of action regulation. Psychological Science, 14(1), 47–53.

    Article  PubMed  Google Scholar 

  • Ma, Q., Meng, L., Wang, L., & Shen, Q. (2014). I endeavor to make it: Effort increases valuation of subsequent monetary reward. Behavioural Brain Research, 261, 1–7.

    Article  PubMed  Google Scholar 

  • MacLeod, C. M. (1991). Half a century of research on the Stroop effect: An integrative review. Psychological Bulletin, 109(2), 163–203.

    Article  PubMed  Google Scholar 

  • Maier, M. E., Scarpazza, C., Starita, F., Filogamo, R., & Làdavas, E. (2016). Error monitoring is related to processing internal affective states. Cognitive, Affective, and Behavioral Neuroscience, 16(6), 1050–1062.

    Article  Google Scholar 

  • Marti, S., Sackur, J., Sigman, M., & Dehaene, S. (2010). Mapping introspection’s blind spot: Reconstruction of dual-task phenomenology using quantified introspection. Cognition, 115(2), 303–313.

    Article  PubMed  Google Scholar 

  • McGuire, J. T., & Botvinick, M. M. (2010). Prefrontal cortex, cognitive control, and the registration of decision costs. Proceedings of the National Academy of Sciences, 107(17), 7922–7926.

    Article  Google Scholar 

  • Miller, J., Vieweg, P., Kruize, N., & McLea, B. (2010). Subjective reports of stimulus, response, and decision times in speeded tasks: How accurate are decision time reports? Consciousness and Cognition, 19(4), 1013–1036.

    Article  PubMed  Google Scholar 

  • Milyavskaya, M., Inzlicht, M., Johnson, T., & Larson, M. J. (2017). Reward sensitivity following boredom and cognitive effort: A high-powered neurophysiological investigation. Retrieved from http://psyarxiv.com/2czjv. Accessed 16 Aug 2017.

  • Monsell, S. (2003). Task switching. Trends in Cognitive Sciences, 7(3), 134–140.

    Article  PubMed  Google Scholar 

  • Montague, P. R., Dayan, P., & Sejnowski, T. J. (1996). A framework for mesencephalic dopamine systems based on predictive Hebbian learning. The Journal of Neuroscience, 16(5), 1936–1947.

    Article  PubMed  PubMed Central  Google Scholar 

  • Morey, R. D., & Rouder, J. N. (2015). BayesFactor: Computation of Bayes factors for common designs. R package version 0.9.11-1. http://CRAN.Rproject.org/package=BayesFactor. Accessed 01 Mar 2016

  • Naccache, L., Dehaene, S., Cohen, L., Habert, M. O., Guichart-Gomez, E., Galanaud, D., & Willer, J. C. (2005). Effortless control: Executive attention and conscious feeling of mental effort are dissociable. Neuropsychologia, 43(9), 1318–1328.

    Article  PubMed  Google Scholar 

  • Navon, D. (1984). Resources—A theoretical soup stone? Psychological review, 91(2), 216.

    Article  Google Scholar 

  • Navon, D., & Gopher, D. (1979). On the economy of the human-processing system. Psychological Review, 86(3), 214–255.

    Article  Google Scholar 

  • Nieuwenhuis, S., Ridderinkhof, K. R., Blom, J., Band, G. P., & Kok, A. (2001). Error related brain potentials are differentially related to awareness of response errors: Evidence from an antisaccade task. Psychophysiology, 38(5), 752–760.

    Article  PubMed  Google Scholar 

  • Nishiyama, R. (2014). Response effort discounts the subjective value of rewards. Behavioural Processes, 107, 175–177.

    Article  PubMed  Google Scholar 

  • Nishiyama, R. (2016). Physical, emotional, and cognitive effort discounting in gain and loss situations. Behavioural Processes, 125, 72–75.

    Article  PubMed  Google Scholar 

  • Niv, Y., Daw, N. D., Joel, D., & Dayan, P. (2007). Tonic dopamine: Opportunity costs and the control of response vigor. Psychopharmacology (Berl), 191(3), 507–520.

    Article  Google Scholar 

  • O’Reilly, J. X., Schüffelgen, U., Cuell, S. F., Behrens, T. E., Mars, R. B., & Rushworth, M. F. (2013). Dissociable effects of surprise and model update in parietal and anterior cingulate cortex. Proceedings of the National Academy of Sciences, 110(38), E3660–E3669.

    Article  Google Scholar 

  • Pailing, P. E., & Segalowitz, S. J. (2004). The error-related negativity as a state and trait measure: Motivation, personality, and ERPs in response to errors. Psychophysiology, 41(1), 84–95.

    Article  PubMed  Google Scholar 

  • Payne, J. W., Bettman, J. R., & Johnson, E. J. (1993). The adaptive decision maker. New York City, NY: Cambridge University Press.

    Book  Google Scholar 

  • Phillips, P. E., Walton, M. E., & Jhou, T. C. (2007). Calculating utility: Preclinical evidence for cost–benefit analysis by mesolimbic dopamine. Psychopharmacology (Berl), 191(3), 483–495.

    Article  Google Scholar 

  • Protopapas, A. (2007). CheckVocal: A program to facilitate checking the accuracy and response time of vocal responses from DMDX. Behavior Research Methods, 39, 859–862.

    Article  PubMed  Google Scholar 

  • R Core Team (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org. Accessed 01 Mar 2016.

  • Rabbitt, P. M. (1966). Errors and error correction in choice-response tasks. Journal of Experimental Psychology, 71(2), 264–272.

    Article  PubMed  Google Scholar 

  • Reber, R., Winkielman, P., & Schwarz, N. (1998). Effects of perceptual fluency on affective judgments. Psychological Science, 9(1), 45–48.

    Article  Google Scholar 

  • Rouder, J. N. (2014). Optional stopping: No problem for Bayesians. Psychonomics Bulletin and Review, 21(2), 301–308.

    Article  Google Scholar 

  • Schönbrodt, F. D., Wagenmakers, E. J., Zehetleitner, M., & Perugini, M. (2017). Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences. Psychological Methods, 22(2), 322.

    Article  PubMed  Google Scholar 

  • Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460–475.

    Article  Google Scholar 

  • Schultz, W., Dayan, P., & Montague, P. R. (1997). A neural substrate of prediction and reward. Science, 275(5306), 1593–1599.

    Article  PubMed  Google Scholar 

  • Shah, A. K., & Oppenheimer, D. M. (2008). Heuristics made easy: An effort-reduction framework. Psychological Bulletin, 134(2), 207–222.

    Article  PubMed  Google Scholar 

  • Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013). The expected value of control: An integrative theory of anterior cingulate cortex function. Neuron, 79(2), 217–240.

    Article  PubMed  PubMed Central  Google Scholar 

  • Shenhav, A., Cohen, J. D., & Botvinick, M. M. (2016). Dorsal anterior cingulate cortex and the value of control. Nature Neuroscience, 19(10), 1286–1291.

    Article  PubMed  Google Scholar 

  • Shenhav, A., Musslick, S., Lieder, F., Kool, W., Griffiths, T. L., Cohen, J. D., & Botvinick, M. M. (2017). Toward a rational and mechanistic account of cognitive effort. Annual Review of Neuroscience, 40, 99–124.

    Article  PubMed  Google Scholar 

  • Shiffrin, R. M., & Schneider, W. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. Psychological Review, 84(2), 127–190.

    Article  Google Scholar 

  • Siegler, R. S., & Lemaire, P. (1997). Older and younger adults’ strategy choices in multiplication: Testing predictions of ASCM using the choice/no-choice method. Journal of Experimental Psychology: General, 126(1), 71–92.

    Article  Google Scholar 

  • Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2012). A 21 Word Solution. Dialogue, The Official Newsletter of the Society for Personality and Social Psychology, 26(2), 4–7.

    Google Scholar 

  • Simon, H. A. (1982). Models of bounded rationality (Vol. 3): Empirically grounded economic reason. Cambridge, MA: MIT Press.

  • Simon, H. A. (1990). Invariants of human behavior. Annual Review of Psychology, 41(1), 1–20.

    Article  PubMed  Google Scholar 

  • Taylor, S. F., Stern, E. R., & Gehring, W. J. (2007). Neural systems for error monitoring: Recent finding and theoretical perspectives. The Neuroscientist, 13(2), 160–172.

    Article  PubMed  Google Scholar 

  • Van Steenbergen, H., & Band, G. P. H. (2013). Pupil dilation in the Simon task as a marker of conflict processing. Frontiers in Human Neuroscience, 7, 215. https://doi.org/10.3389/fnhum.2013.00215.

    Article  PubMed  PubMed Central  Google Scholar 

  • Vassena, E., Holroyd, C. B., & Alexander, W. H. (2017). Computational models of anterior cingulate cortex: At the crossroads between prediction and effort. Frontiers in Neuroscience, 11, 1–9.

    Article  Google Scholar 

  • Vassena, E., Silvetti, M., Boehler, C. N., Achten, E., Fias, W., & Verguts, T. (2014). Overlapping neural systems represent cognitive effort and reward anticipation. PLoS One, 9(3), e91008.

    Article  PubMed  PubMed Central  Google Scholar 

  • Verguts, T., Vassena, E., & Silvetti, M. (2015). Adaptive effort investment in cognitive and physical tasks: A neurocomputational model. Frontiers in Behavioral Neuroscience, 9, 57. https://doi.org/10.3389/fnbeh.2015.00057.

    Article  PubMed  PubMed Central  Google Scholar 

  • Walsh, M. M., & Anderson, J. R. (2009). The strategic nature of changing your mind. Cognitive Psychology, 58(3), 416–440.

    Article  PubMed  Google Scholar 

  • Wang, L., Zheng, J., & Meng, L. (2017). Effort provides its own reward: Endeavors reinforce subjective expectation and evaluation of task performance. Experimental Brain Research, 235(4), 1107–1118.

    Article  PubMed  Google Scholar 

  • Westbrook, A., & Braver, T. S. (2015). Cognitive effort: A neuroeconomic approach. Cognitive, Affective, & Behavioral Neuroscience, 15(2), 395–415.

    Article  Google Scholar 

  • Westbrook, A., & Braver, T. S. (2016). Dopamine does double duty in motivating cognitive effort. Neuron, 89(4), 695–710.

    Article  PubMed  PubMed Central  Google Scholar 

  • Westbrook, A., Kester, D., & Braver, T. S. (2013). What is the subjective cost of cognitive effort? Load, trait, and aging effects revealed by economic preference. PLoS One, 8(7), e68210.

    Article  PubMed  PubMed Central  Google Scholar 

  • Wickens, C. D. (2002). Multiple resources and performance prediction. Theoretical Issues in Ergonomics Science, 3(2), 159–177.

    Article  Google Scholar 

  • Winkielman, P., Schwarz, N., Fazendeiro, T., & Reber, R. (2003). The hedonic marking of processing fluency: Implications for evaluative judgment. In J. Musch & K. C. Klauer (Eds.), The psychology of evaluation: Affective processes in cognition and emotion (pp. 189–217). Mahwah, NJ: Erlbuam.

    Google Scholar 

  • Yeung, N., Botvinick, M. M., & Cohen, J. D. (2004). The neural basis of error detection: Conflict monitoring and the error-related negativity. Psychological Review, 111(4), 931–959.

    Article  PubMed  Google Scholar 

  • Zipf, G. K. (1949). Human behavior and the principle of least effort. Cambridge, MA: Addison-Wesley.

    Google Scholar 

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Correspondence to Timothy L. Dunn.

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Funding

This work was supported by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (NSERC) and funding from the Canada Research Chairs program to Evan F. Risko.

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All authors declare that they have no conflicts of interest pertaining to the development or submission of this manuscript.

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All procedures performed in these studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards, and were approved by the University of Waterloo Office of Research Ethics.

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Informed consent was obtained from all individual participants included in the study.

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All data and corresponding code are freely available via the Open Science Framework at http://osf.io/2szy3.

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Dunn, T.L., Inzlicht, M. & Risko, E.F. Anticipating cognitive effort: roles of perceived error-likelihood and time demands. Psychological Research 83, 1033–1056 (2019). https://doi.org/10.1007/s00426-017-0943-x

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  • DOI: https://doi.org/10.1007/s00426-017-0943-x

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