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Shared Mechanisms for Confidence Judgements and Error Detection in Human Decision Making

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The Cognitive Neuroscience of Metacognition

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

  1. 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

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  2. Audley RJ (1960) A stochastic model for individual choice behavior. Psychol Rev 67:1–15

    Article  CAS  PubMed  Google Scholar 

  3. Baranski JV, Petrusic WM (1994) The calibration and resolution of confidence in perceptual judgments. Percept psychophysics 55(4):412–428

    Article  CAS  Google Scholar 

  4. 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

    Article  CAS  PubMed  Google Scholar 

  5. 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]

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  6. Behrens TE, Woolrich MW, Walton ME, Rushworth MF (2007) Learning the value of information in an uncertain world. Nat Neurosci 10(9):1214–1221

    Article  CAS  PubMed  Google Scholar 

  7. 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

    Article  PubMed  Google Scholar 

  8. 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

    Article  CAS  PubMed  Google Scholar 

  9. 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]

    Article  PubMed Central  PubMed  Google Scholar 

  10. Botvinick MM, Braver TS, Carter CS, Barch DM, Cohen JD (2001) Conflict monitoring and cognitive control. Psychol Rev 108:624–652

    Article  CAS  PubMed  Google Scholar 

  11. 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

    Chapter  Google Scholar 

  12. 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

    Article  PubMed  Google Scholar 

  13. 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

    Article  PubMed  Google Scholar 

  14. 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

    Article  PubMed Central  PubMed  Google Scholar 

  15. 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

    Article  CAS  PubMed  Google Scholar 

  16. 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

    Article  CAS  PubMed  Google Scholar 

  17. 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

    Article  Google Scholar 

  18. 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

    Article  PubMed  Google Scholar 

  19. 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

    Google Scholar 

  20. 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

    Article  Google Scholar 

  21. 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

    Article  CAS  PubMed  Google Scholar 

  22. 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

    Article  CAS  Google Scholar 

  23. 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

    Article  Google Scholar 

  24. Henmon VAC (1911) The relation of the time of a judgment to its accuracy. Psychol Rev 18(3):186–201. doi:10.1037/h0074579

    Article  Google Scholar 

  25. 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

    Article  PubMed  Google Scholar 

  26. 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

    Article  PubMed  Google Scholar 

  27. 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

    Article  PubMed Central  PubMed  Google Scholar 

  28. 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

    Article  PubMed  Google Scholar 

  29. 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

    Article  Google Scholar 

  30. 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

    Article  PubMed  Google Scholar 

  31. 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

    Article  CAS  PubMed  Google Scholar 

  32. 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

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  33. 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

    Article  PubMed  Google Scholar 

  34. 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

    Article  CAS  PubMed  Google Scholar 

  35. 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

    Article  CAS  PubMed  Google Scholar 

  36. 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

    Article  CAS  PubMed  Google Scholar 

  37. 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

    Google Scholar 

  38. 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

    Article  CAS  PubMed  Google Scholar 

  39. 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

    Article  CAS  PubMed  Google Scholar 

  40. 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

    PubMed  Google Scholar 

  41. 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

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  42. Miller GA, Galanter E, Pribram KH (1960) Plans and the structure of behavior. Holt, Rinehart & Winston, New York

    Google Scholar 

  43. 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

    Article  PubMed  Google Scholar 

  44. 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

    Article  PubMed  Google Scholar 

  45. 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

    Article  CAS  Google Scholar 

  46. 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

    Article  PubMed  Google Scholar 

  47. Rabbitt PMA (1966) Errors and error correction in choice-response tasks. J Exp Psychol 71(2):264–272

    Article  CAS  PubMed  Google Scholar 

  48. Rabbitt PMA (2002) Consciousness is slower than you think. Q J Exp Psychol 55A(4):1081–1092

    Article  Google Scholar 

  49. 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

    Article  CAS  PubMed  Google Scholar 

  50. 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

    Article  Google Scholar 

  51. 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

    Article  Google Scholar 

  52. Ratcliff R (1978) A theory of memory retrieval. Psychol Rev 85(2):59–108. doi:10.1037/0033-295x.85.2.59

    Article  Google Scholar 

  53. Ratcliff R, Frank MJ (2012) Reinforcement-based decision making in corticostriatal circuits: mutual constraints by neurocomputational and diffusion models. Neural Comput (in press)

    Google Scholar 

  54. 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

    Article  PubMed Central  PubMed  Google Scholar 

  55. Resulaj A, Kiani R, Wolpert DM, Shadlen MN (2009) Changes of mind in decision-making. Nature 461 (7261):263–266. doi:10.1038/nature08275

    Google Scholar 

  56. 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

    Article  Google Scholar 

  57. Rodriguez-Fornells A, Kurzbuch AR, Muente TF (2002) Time course of error detection and correction in humans: neurophysiological evidence. J Neurosci 22:9990–9996

    CAS  PubMed  Google Scholar 

  58. 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

    Article  CAS  PubMed  Google Scholar 

  59. 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

    Article  CAS  Google Scholar 

  60. Schultz W, Dayan P, Montague PR (1997) A neural substrate of prediction and reward. Science 275:1593–1599

    Article  CAS  PubMed  Google Scholar 

  61. 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

    CAS  PubMed  Google Scholar 

  62. 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])

    Article  CAS  PubMed  Google Scholar 

  63. 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]

    Article  Google Scholar 

  64. Steinhauser M, Yeung N (2010) Decision processes in human performance monitoring. J Neurosci 30(46):15643–15653

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  65. Usher M, McClelland JL (2001) The time course of perceptual choice: the leaky, competing accumulator model. Psychol Rev 108(3):550–592

    Article  CAS  PubMed  Google Scholar 

  66. 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

    Article  Google Scholar 

  67. 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

    Article  CAS  Google Scholar 

  68. Volkmann J (1934) The relation of the time of judgment to the certainty of judgment. Psychol Bull 31(672):673

    Google Scholar 

  69. Wald A, Wolfowitz J (1949) Bayes solutions of sequential decision problems. Proc Natl Acad Sci USA 35(2):99–102

    Article  CAS  PubMed  Google Scholar 

  70. 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

    Article  PubMed  Google Scholar 

  71. Yu AJ, Dayan P (2005) Uncertainty, neuromodulation, and attention. Neuron 46(4):681–692

    Article  CAS  PubMed  Google Scholar 

  72. 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

    Article  Google Scholar 

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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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