Abstract
People give accurate evaluations of their own choices and decisions: they are often aware of their mistakes without needing feedback, and report levels of confidence in their choices that correlate with objective performance. These metacognitive judgements guide current and future behaviour, helping people to avoid making the same mistake twice and to evaluate whether they have enough information on which to base a reliable choice. Here we review progress in characterising the neural and mechanistic basis of these related aspects of metacognition—confidence judgements and error monitoring—and identify several points of convergence between methods and theories in the two fields. This convergence promises to resolve key debates in the separate literatures, to identify productive new lines of enquiry, but also to highlight shared limitations in the two research fields. In particular, future theories of choice and metacognitive evaluation may need to look beyond simple, discrete decisions to model the structure and fluidity of real-world decisions and actions that are embedded in the broader context of evolving behavioural goals.
This chapter is adapted from: Yeung N, Summerfield C (2012) Metacognition in human decision-making: confidence and error monitoring. Phil Trans R Soc B 367:1310–1321
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References
Albantakis L, Deco G (2011) Changes of mind in an attractor network of decision-making. PLoS Comput Biol 7(6):e1002086. doi:10.1371/journal.pcbi.1002086
Audley RJ (1960) A stochastic model for individual choice behavior. Psychol Rev 67:1–15
Baranski JV, Petrusic WM (1994) The calibration and resolution of confidence in perceptual judgments. Percept psychophysics 55(4):412–428
Baranski JV, Petrusic WM (1998) Probing the locus of confidence judgments: experiments on the time to determine confidence. J Exp Psychol Hum Percept Perform 24(3):929–945
Beck JM, Ma WJ, Kiani R, Hanks T, Churchland AK, Roitman J, Shadlen MN, Latham PE, Pouget A (2008) Probabilistic population codes for bayesian decision making. Neuron 60(6):1142–1152. doi:10.1016/j.neuron.2008.09.021 S0896 6273(08)00803-9[pii]
Behrens TE, Woolrich MW, Walton ME, Rushworth MF (2007) Learning the value of information in an uncertain world. Nat Neurosci 10(9):1214–1221
Bogacz R, Brown E, Moehlis J, Holmes P, Cohen JD (2006) The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. Psychol Rev 113(4):700–765. doi:10.1037/0033-295X.113.4.700
Bogacz R, Wagenmakers EJ, Forstmann BU, Nieuwenhuis S (2010) The neural basis of the speed-accuracy tradeoff. Trends Neurosci 33(1):10–16. doi:10.1016/j.tins.2009.09.002
Botvinick MM (2008) Hierarchical models of behavior and prefrontal function. Trends Cogn Sci 12(5):201–208. doi:10.1016/j.tics.2008.02.009 S1364-6613(08)00088-0 [pii]
Botvinick MM, Braver TS, Carter CS, Barch DM, Cohen JD (2001) Conflict monitoring and cognitive control. Psychol Rev 108:624–652
Busemeyer JR, Johnson JG (2004) Computational models of decision making. In: Koehler D, Harvey N (eds) Handbook of judgment and decision making. Blackwell, Oxford, pp 133–154
Charles L, Van Opstal F, Marti S, Dehaene S (2013) Distinct brain mechanisms for conscious versus subliminal error detection. Neuroimage 73:80–94. doi:10.1016/j.neuroimage.2013.01.054
de Gardelle V, Summerfield C (2011) Robust averaging during perceptual judgment. Proc Natl Acad Sci USA 108(32):13341–13346. doi:10.1073/pnas.1104517108
De Martino B, Fleming SM, Garrett N, Dolan RJ (2013) Confidence in value-based choice. Nat Neurosci 16(1):105–110. doi:10.1038/nn.3279
Debener S, Ullsperger M, Siegel M, Fiehler K, von Cramon DY, Engel AK (2005) Trial-by-trial coupling of concurrent electroencephalogram and functional magnetic resonance imaging identifies the dynamics of performance monitoring. J Neurosci 25(50):11730–11737
Falkenstein M, Hohnsbein J, Hoorman J, Blanke L (1991) Effects of crossmodal divided attention on late ERP components: II. Error processing in choice reaction tasks. Electroencephalogr Clin Neurophysiol 78:447–455
Festinger L (1943) Studies in decision: I. Decision-time, relative frequency of judgment and subjective confidence as related to physical stimulus difference. J Exp Psychol 32(4):291–306. doi:10.1037/h0056685
Galvin SJ, Podd JV, Drga V, Whitmore J (2003) Type 2 tasks in the theory of signal detectability: discrimination between correct and incorrect decisions. Psychon Bull Rev 10(4):843–876
Gehring WJ, Fencsik D (1999) Slamming on the brakes: an electrophysiological study of error response inhibition. In: Annual meeting of the Cognitive Neuroscience Society, Washington, DC, April 1999
Gehring WJ, Goss B, Coles MGH, Meyer DE, Donchin E (1993) A neural system for error detection and compensation. Psychol Sci 4(6):385–390
Gold JI, Shadlen MN (2007) The neural basis of decision making. Annu Rev Neurosci 30:535–574. doi:10.1146/annurev.neuro.29.051605.113038
Gratton G, Coles MGH, Sirevaag EJ, Eriksen CW, Donchin E (1988) Pre- and poststimulus activation of response channels: A psychophysiological analysis. J Exp Psychol Hum Percep Perform 14(3):331–344
Graziano M, Polosecki P, Shalom DE, Sigman M (2011) Parsing a perceptual decision into a sequence of moments of thought. Frontiers integr neurosci 5:45. doi:10.3389/fnint.2011.00045
Henmon VAC (1911) The relation of the time of a judgment to its accuracy. Psychol Rev 18(3):186–201. doi:10.1037/h0074579
Hester R, Barre N, Murphy K, Silk TJ, Mattingley JB (2008) Human medial frontal cortex activity predicts learning from errors. Cereb Cortex 18(8):1933–1940. doi:10.1093/cercor/bhm219
Holroyd CB, Coles MGH (2002) The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychol Rev 109(4):679–709
Hughes G, Yeung N (2011) Dissociable correlates of response conflict and error awareness in error-related brain activity. Neuropsychologia 49(3):405–415. doi:10.1016/j.neuropsychologia.2010.11.036
Jang Y, Wallsten TS, Huber DE (2012) A stochastic detection and retrieval model for the study of metacognition. Psychol Rev 119(1):186–200. doi:10.1037/a0025960
Jentzsch I, Dudschig C (2009) Why do we slow down after an error? Mechanisms underlying the effects of posterror slowing. Q J Exp Psychol 62(2):209–218
Joordens S, Piercey CD, Azarbehi R (2009) Modeling performance at the trial level within a diffusion framework: a simple yet powerful method for increasing efficiency via error detection and correction. Can J Exp Psychol 63(2):81–93. doi:10.1037/a0015385
Kepecs A, Uchida N, Zariwala HA, Mainen ZF (2008) Neural correlates, computation and behavioural impact of decision confidence. Nature 455(7210):227–231. doi:10.1038/nature07200
Kiani R, Shadlen MN (2009) Representation of confidence associated with a decision by neurons in the parietal cortex. Science 324(5928):759–764. doi:10.1126/science.1169405
Koechlin E, Summerfield C (2007) An information theoretical approach to prefrontal executive function. Trends Cogn Sci 11(6):229–235. doi:10.1016/j.tics.2007.04.005
Komura Y, Nikkuni A, Hirashima N, Uetake T, Miyamoto A (2013) Responses of pulvinar neurons reflect a subject’s confidence in visual categorization. Nat Neurosci 16(6):749–755. doi:10.1038/nn.3393
Krajbich I, Armel C, Rangel A (2010) Visual fixations and the computation and comparison of value in simple choice. Nat Neurosci 13(10):1292–1298. doi:10.1038/nn.2635
Krigolson OE, Holroyd CB (2006) Evidence for hierarchical error processing in the human brain. Neuroscience 137(1):13–17. doi:10.1016/j.neuroscience.2005.10.064
Lashley KS (1951) The problem of serial order in behavior. In: Jeffress LA (ed) Cerebral mechanisms in behavior: the Hixon Symposium. Wiley, London, pp 112–136
Logan GD, Crump MJ (2010) Cognitive illusions of authorship reveal hierarchical error detection in skilled typists. Science 330(6004):683–686. doi:10.1126/science.1190483
Ma WJ, Beck JM, Latham PE, Pouget A (2006) Bayesian inference with probabilistic population codes. Nat Neurosci 9(11):1432–1438. doi:10.1038/nn1790
Maniscalco B, Lau H (2011) A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings. Conscious Cogn. doi:10.1016/j.concog.2011.09.021
Middlebrooks PG, Sommer MA (2012) Neuronal correlates of metacognition in primate frontal cortex. Neuron 75(3):517–530. doi:10.1016/j.neuron.2012.05.028
Miller GA, Galanter E, Pribram KH (1960) Plans and the structure of behavior. Holt, Rinehart & Winston, New York
Moreno-Bote R (2010) Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators. Neural Comput 22(7):1786–1811. doi:10.1162/neco.2010.12-08-930
Nieuwenhuis S, Aston-Jones G, Cohen JD (2005) Decision making, the P3, and the locus coeruleus-norepinephrine system. Psychol Bull 131(4):510–532. doi:10.1037/0033-2909.131.4.510
Nieuwenhuis S, Ridderinkhof KR, Blom J, Band GPH, Kok A (2001) Error-related brain potentials are differentially related to awareness of response errors: evidence from an antisaccade task. Psychophysiol 38:752–760
Pleskac TJ, Busemeyer JR (2010) Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. Psychol Rev 117(3):864–901. doi:10.1037/a0019737
Rabbitt PMA (1966) Errors and error correction in choice-response tasks. J Exp Psychol 71(2):264–272
Rabbitt PMA (2002) Consciousness is slower than you think. Q J Exp Psychol 55A(4):1081–1092
Rabbitt PMA, Cumming G, Vyas SM (1978) Some errors of perceptual analysis in visual search can be detected and corrected. Q J Exp Psychol 30:319–332
Rabbitt PMA, Rodgers B (1977) What does a man do after he makes an error? An analysis of response programming. Q J Exp Psychol 29:727–743
Rabbitt PMA, Vyas SM (1981) Processing a display even after you make a response to it. How perceptual errors can be corrected. Q J Exp Psychol 33A:223–239
Ratcliff R (1978) A theory of memory retrieval. Psychol Rev 85(2):59–108. doi:10.1037/0033-295x.85.2.59
Ratcliff R, Frank MJ (2012) Reinforcement-based decision making in corticostriatal circuits: mutual constraints by neurocomputational and diffusion models. Neural Comput (in press)
Ratcliff R, McKoon G (2008) The diffusion decision model: theory and data for two-choice decision tasks. Neural Comput 20(4):873–922. doi:10.1162/neco.2008.12-06-420
Resulaj A, Kiani R, Wolpert DM, Shadlen MN (2009) Changes of mind in decision-making. Nature 461 (7261):263–266. doi:10.1038/nature08275
Ridderinkhof KR, Ramautar JR, Wijnen JG (2009) To P(E) or not to P(E): a P3-like ERP component reflecting the processing of response errors. Psychophysiol 46(3):531–538. doi:10.1111/j.1469-8986.2009.00790.x
Rodriguez-Fornells A, Kurzbuch AR, Muente TF (2002) Time course of error detection and correction in humans: neurophysiological evidence. J Neurosci 22:9990–9996
Rushworth MFS, Behrens TE, Rudebeck PH, Walton ME (2007) Contrasting roles for cingulate and orbitofrontal cortex in decisions and social behaviour. Trends Cogn Sci 11(4):168–176
Scheffers MK, Coles MGH (2000) Performance monitoring in a confusing world: error-related brain activity, judgements of response accuracy, and types of errors. J Exp Psychol Hum Percep Perform 26(1):141–151
Schultz W, Dayan P, Montague PR (1997) A neural substrate of prediction and reward. Science 275:1593–1599
Shadlen MN, Newsome WT (2001) Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J Neurophysiol 86(4):1916–1936
Smith PL, Ratcliff R (2004) Psychology and neurobiology of simple decisions. Trends Neurosci 27(3):161–168. doi:10.1016/j.tins.2004.01.006 (S0166223604000220 [pii])
Steinhauser M, Maier M, Hubner R (2008) Modeling behavioral measures of error detection in choice tasks: response monitoring versus conflict monitoring. J Exp Psychol Hum Percep Perform 34(1):158–176. doi:10.1037/0096-1523.34.1.158 2008-00937 010 [pii]
Steinhauser M, Yeung N (2010) Decision processes in human performance monitoring. J Neurosci 30(46):15643–15653
Usher M, McClelland JL (2001) The time course of perceptual choice: the leaky, competing accumulator model. Psychol Rev 108(3):550–592
Vickers D, Burt J, Smith P, Brown M (1985) Experimental paradigms emphasizing state or process limitations: 1. Effects on speed accuracy tradeoffs. Acta Psychol 59:129–161
Vickers D, Packer J (1982) Effects of alternating set for speed or accuracy on response time, accuracy and confidence in a unidimensional discrimination task. Acta Psychol (Amst) 50(2):179–197
Volkmann J (1934) The relation of the time of judgment to the certainty of judgment. Psychol Bull 31(672):673
Wald A, Wolfowitz J (1949) Bayes solutions of sequential decision problems. Proc Natl Acad Sci USA 35(2):99–102
Yeung N, Botvinick MM, Cohen JD (2004) The neural basis of error detection: conflict monitoring and the error-related negativity. Psychol Rev 111(4):931–959
Yu AJ, Dayan P (2005) Uncertainty, neuromodulation, and attention. Neuron 46(4):681–692
Zylberberg A, Barttfeld P, Sigman M (2012) The construction of confidence in a perceptual decision. Frontiers integr neurosci 6:79. doi:10.3389/fnint.2012.00079
Acknowledgments
CS was supported by a grant from the Wellcome Trust (WT092646AIA). We thank Vincent de Gardelle and Annika Boldt for valuable discussion that guided our thinking on this topic.
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Yeung, N., Summerfield, C. (2014). Shared Mechanisms for Confidence Judgements and Error Detection in Human Decision Making. In: Fleming, S., Frith, C. (eds) The Cognitive Neuroscience of Metacognition. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45190-4_7
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