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Annual Review of Vision Science

Volume 2, 2016

Visual Confidence

Abstract

Visual confidence refers to an observer's ability to judge the accuracy of her perceptual decisions. Even though confidence judgments have been recorded since the early days of psychophysics, only recently have they been recognized as essential for a deeper understanding of visual perception. The reluctance to study visual confidence may have come in part from obtaining convincing experimental evidence in favor of metacognitive abilities rather than just perceptual sensitivity. Some effort has thus been dedicated to offer different experimental paradigms to study visual confidence in humans and nonhuman animals. To understand the origins of confidence judgments, investigators have developed two competing frameworks. The approach based on signal decision theory is popular but fails to account for response times. In contrast, the approach based on accumulation of evidence models naturally includes the dynamics of perceptual decisions. These models can explain a range of results, including the apparently paradoxical dissociation between performance and confidence that is sometimes observed.

Keyword(s): accumulation of evidence models, decision making, metaperception, overconfidence, signal detection theory, Type 2 ROC, visual confidence
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2016-10-14
2024-04-24
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Literature Cited

  1. Aitchison L, Bang D, Bahrami B, Latham PE. 2015. Doubly Bayesian analysis of confidence in perceptual decision-making. PLOS Comput. Biol. 11:e1004519 [Google Scholar]
  2. Bahrami B, Olsen K, Latham PE, Roepstorff A, Rees G, Frith CD. 2010. Optimally interacting minds. Science 329:1081–85 [Google Scholar]
  3. Baker DH, Cass JR. 2013. A dissociation of performance and awareness during binocular rivalry. Psychol. Sci. 24:2563–68 [Google Scholar]
  4. Baldassi S, Megna N, Burr DC. 2006. Visual clutter causes high-magnitude errors. PLOS Biol 4:e56 [Google Scholar]
  5. Bang D, Fusaroli R, Tylén K, Olsen K, Latham PE. et al. 2014. Does interaction matter? Testing whether a confidence heuristic can replace interaction in collective decision-making. Conscious. Cogn. 26:13–23 [Google Scholar]
  6. Baranski JV, Petrusic WM. 1994. The calibration and resolution of confidence in perceptual judgments. Percept. Psychophys. 55:412–28 [Google Scholar]
  7. Barrett AB, Dienes Z, Seth AK. 2013. Measures of metacognition on signal-detection theoretic models. Psychol. Methods 18:535–52 [Google Scholar]
  8. Barthelmé S, Mamassian P. 2009. Evaluation of objective uncertainty in the visual system. PLOS Comput. Biol. 5:e1000504 [Google Scholar]
  9. Barthelmé S, Mamassian P. 2010. Flexible mechanisms underlie the evaluation of visual confidence. PNAS 107:20834–39 [Google Scholar]
  10. Beran MJ, Smith JD, Coutinho MVC, Couchman JJ, Boomer J. 2009. The psychological organization of “uncertainty” responses and “middle” responses: a dissociation in capuchin monkeys (Cebus apella). J. Exp. Psychol. 35:371–81 [Google Scholar]
  11. 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. 113:700–65 [Google Scholar]
  12. Churchland AK, Kiani R, Shadlen MN. 2008. Decision-making with multiple alternatives. Nat. Neurosci. 11:693–702 [Google Scholar]
  13. Clarke FR, Birdsall TG, Tanner WP Jr. 1959. Two types of ROC curves and definitions of parameters. J. Acoust. Soc. Am. 31:629–30 [Google Scholar]
  14. Clifford CWG, Arabzadeh E, Harris JA. 2008. Getting technical about awareness. Trends Cogn. Sci. 12:54–58 [Google Scholar]
  15. Cowey A. 2010. The blindsight saga. Exp. Brain Res. 200:3–24 [Google Scholar]
  16. de Gardelle V, Le Corre F, Mamassian P. 2016. Confidence as a common currency between vision and audition. PLOS ONE 11:e0147901 [Google Scholar]
  17. de Gardelle V, Mamassian P. 2014. Does confidence use a common currency across two visual tasks. Psychol. Sci. 25:1286–88 [Google Scholar]
  18. de Gardelle V, Mamassian P. 2015. Weighting mean and variability during confidence judgments. PLOS ONE 10:e0120870 [Google Scholar]
  19. De Martino B, Fleming SM, Garrett N, Dolan RJ. 2013. Confidence in value-based choice. Nat. Neurosci. 16:105–10 [Google Scholar]
  20. Descartes R. 1637. Discours de la Méthode: Pour bien conduire sa raison, et chercher la vérité dans les sciences The Hague: Ian Maire
  21. Drugowitsch J, Moreno-Bote R, Pouget A. 2014. Relation between belief and performance in perceptual decision making. PLOS ONE 9:e96511 [Google Scholar]
  22. Evans S, Azzopardi P. 2007. Evaluation of a “bias-free” measure of awareness. Spat. Vis. 20:61–77 [Google Scholar]
  23. Fetsch CR, Kiani R, Newsome WT, Shadlen MN. 2014. Effects of cortical microstimulation on confidence in a perceptual decision. Neuron 83:797–804 [Google Scholar]
  24. Fleming SM, Lau H. 2014. How to measure metacognition. Front. Hum. Neurosci. 8:443 [Google Scholar]
  25. Fleming SM, Maniscalco B, Ko Y, Amendi N, Ro T, Lau H. 2015. Action-specific disruption of perceptual confidence. Psychol. Sci. 26:89–98 [Google Scholar]
  26. Fleming SM, Weil RS, Nagy Z, Dolan RJ, Rees G. 2010. Relating introspective accuracy to individual differences in brain structure. Science 329:1541–43 [Google Scholar]
  27. Foote AL, Crystal JD. 2007. Metacognition in the rat. Curr. Biol. 17:551–55 [Google Scholar]
  28. Foote AL, Crystal JD. 2012. “Play it again”: a new method for testing metacognition in animals. Anim. Cogn. 15:2187–99 [Google Scholar]
  29. 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. 10:843–76 [Google Scholar]
  30. Gherman S, Philiastides MG. 2015. Neural representations of confidence emerge from the process of decision formation during perceptual choices. NeuroImage 106:134–43 [Google Scholar]
  31. Gigerenzer G, Hoffrage U, Kleinbolting H. 1991. Probabilistic mental models: a Brunswikian theory of confidence. Psychol. Rev. 98:506–28 [Google Scholar]
  32. Graf E, Warren PA, Maloney LT. 2005. Explicit estimation of visual uncertainty in human motion processing. Vis. Res. 45:3050–59 [Google Scholar]
  33. Green DM, Swets JA. 1966. Signal Detection Theory and Psychophysics New York: Wiley
  34. Harvey N. 1997. Confidence in judgment. Trends Cogn. Sci. 1:78–82 [Google Scholar]
  35. Insabato A, Pannunzi M, Rolls ET, Deco G. 2010. Confidence-related decision making. J. Neurophysiol. 104:539–47 [Google Scholar]
  36. Juslin P, Olsson H. 1997. Thurstonian and Brunswikian origins of uncertainty in judgment: a sampling model of confidence in sensory discrimination. Psychol. Rev. 104:344–66 [Google Scholar]
  37. Kepecs A, Mainen ZF. 2012. A computational framework for the study of confidence in humans and animals. Philos. Trans. R. Soc. Lond. B 367:1322–37 [Google Scholar]
  38. Kepecs A, Uchida N, Zariwala HA, Mainen ZF. 2008. Neural correlates, computation and behavioural impact of decision confidence. Nature 455:227–31 [Google Scholar]
  39. Kiani R, Corthell L, Shadlen MN. 2014. Choice certainty is informed by both evidence and decision time. Neuron 84:1329–42 [Google Scholar]
  40. Kiani R, Shadlen MN. 2009. Representation of confidence associated with a decision by neurons in the parietal cortex. Science 324:759–64 [Google Scholar]
  41. Kolb FC, Braun J. 1995. Blindsight in normal observers. Nature 377:336–38 [Google Scholar]
  42. 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. 16:749–55 [Google Scholar]
  43. Koriat A. 2011. Subjective confidence in perceptual judgments: a test of the self-consistency model. J. Exp. Psychol. Gen. 140:117–39 [Google Scholar]
  44. Kunimoto C, Miller J, Pashler H. 2001. Confidence and accuracy of near-threshold discrimination responses. Conscious. Cogn. 10:294–340 [Google Scholar]
  45. Lak A, Costa GM, Romberg E, Koulakov AA, Mainen ZF, Kepecs A. 2014. Orbitofrontal cortex is required for optimal waiting based on decision confidence. Neuron 84:190–201 [Google Scholar]
  46. Laming DRJ. 1968. Information Theory of Choice Reaction Time New York: Wiley
  47. Landy MS, Goutcher R, Trommershauser J, Mamassian P. 2007. Visual estimation under risk. J. Vis. 7:64 [Google Scholar]
  48. Lau HC, Passingham RE. 2006. Relative blindsight in normal observers and the neural correlate of visual consciousness. PNAS 103:18763–68 [Google Scholar]
  49. Lebreton M, Abitbol R, Daunizeau J, Pessiglione M. 2015. Automatic integration of confidence in the brain valuation signal. Nat. Neurosci. 18:1159–67 [Google Scholar]
  50. Liston DB, Stone LS. 2013. Saccadic brightness decisions do not use a difference model. J. Vis. 13:81 [Google Scholar]
  51. Macmillan NA, Creelman CD. 2005. Detection Theory: A User's Guide Mahwah, NJ: Lawrence Erlbaum Assoc. , 2nd. ed.
  52. Maniscalco B, Lau H. 2012. A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings. Conscious. Cogn. 21:422–30 [Google Scholar]
  53. Masson MEJ, Rotello CM. 2009. Sources of bias in the Goodman-Kruskal gamma coefficient measure of association: implications for studies of metacognitive processes. J. Exp. Psychol. Learn. Mem. Cogn. 35:509–27 [Google Scholar]
  54. Metcalfe J, Shimamura AP. 1994. Metacognition: Knowing about Knowing Cambridge, MA: MIT Press
  55. Meyniel F, Sigman M, Mainen ZF. 2015. Confidence as Bayesian probability: from neural origins to behavior. Neuron 88:78–92 [Google Scholar]
  56. Moreno-Bote R. 2010. Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators. Neural Comput 22:1786–11 [Google Scholar]
  57. Morgan MJ, Mason AJ, Solomon JA. 1997. Blindsight in normal subjects. Nature 385:401–2 [Google Scholar]
  58. Nelson TO. 1984. A comparison of current measures of the accuracy of feeling-of-knowing predictions. Psychol. Bull. 95:109–33 [Google Scholar]
  59. Paulk AC, Kirszenblat L, Zhou Y, van Swinderen B. 2015. Closed-loop behavioral control increases coherence in the fly brain. J. Neurosci. 35:10304–15 [Google Scholar]
  60. Peirce CS, Jastrow J. 1885. On small differences of sensation. Mem. Natl. Acad. Sci. 3:73–83 [Google Scholar]
  61. Persaud N, Mcleod P, Cowey A. 2007. Post-decision wagering objectively measures awareness. Nat. Neurosci. 10:257–61 [Google Scholar]
  62. Pleskac TJ, Busemeyer JR. 2010. Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. Psychol. Rev. 117:864–901 [Google Scholar]
  63. Pouget A, Drugowitsch J, Kepecs A. 2016. Confidence and certainty: distinct probabilistic quantities for different goals. Nat. Neurosci. 19:366–74 [Google Scholar]
  64. Raab DH. 1962. Statistical facilitation of simple reaction times. Trans. N.Y. Acad. Sci. 24:574–90 [Google Scholar]
  65. Rabbitt PMA. 1966. Error correction time without external error signals. Nature 212:438 [Google Scholar]
  66. Rahnev DA, Maniscalco B, Graves T, Huang E, de Lange FP, Lau H. 2011. Attention induces conservative subjective biases in visual perception. Nat. Neurosci. 14:1513–15 [Google Scholar]
  67. Rahnev DA, Maniscalco B, Luber B, Lau HC, Lisanby SH. 2012. Direct injection of noise to the visual cortex decreases accuracy but increases decision confidence. J. Neurophysiol. 107:1556–63 [Google Scholar]
  68. Ratcliff R, McKoon G. 2008. The diffusion decision model: theory and data for two-choice decision tasks. Neural Comput 20:873–922 [Google Scholar]
  69. Ratcliff R, Starns JJ. 2013. Modeling confidence judgments, response times, and multiple choices in decision making: recognition memory and motion discrimination. Psychol. Rev. 120:697–719 [Google Scholar]
  70. Resulaj A, Kiani R, Wolpert DM, Shadlen MN. 2009. Changes of mind in decision-making. Nature 461:263–66 [Google Scholar]
  71. Roitman JD, Shadlen MN. 2002. Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J. Neurosci. 22:9475–89 [Google Scholar]
  72. Rolls ET, Grabenhorst F, Deco G. 2010. Decision-making, errors, and confidence in the brain. J. Neurophysiol. 104:2359–74 [Google Scholar]
  73. Rounis E, Maniscalco B, Rothwell JC, Passingham RE, Lau H. 2010. Theta-burst transcranial magnetic stimulation to the prefrontal cortex impairs metacognitive visual awareness. Cogn. Neurosci 1:165–75 [Google Scholar]
  74. Sahraie A, Weiskrantz L, Barbur JL. 1998. Awareness and confidence ratings in motion perception without geniculo-striate projection. Behav. Brain Res. 96:71–77 [Google Scholar]
  75. Shields WE, Smith JD, Guttmannova K, Washburn DA. 2005. Confidence judgments by humans and rhesus monkeys. J. Gen. Psychol. 132:165–86 [Google Scholar]
  76. Smith JD. 2009. The study of animal metacognition. Trends Cogn. Sci. 13:389–96 [Google Scholar]
  77. Smith JD, Beran MJ, Couchman JJ, Coutinho MVC. 2008. The comparative study of metacognition: sharper paradigms, safer inferences. Psychon. Bull. Rev. 15:679–91 [Google Scholar]
  78. Smith JD, Shields WE, Schull J, Washburn DA. 1997. The uncertain response in humans and animals. Cognition 62:75–97 [Google Scholar]
  79. Smith PL, Vickers D. 1988. The accumulator model of two-choice discrimination. J. Math. Psychol. 32:135–68 [Google Scholar]
  80. Spence ML, Dux PE, Arnold DH. 2016. Computations underlying confidence in visual perception. J. Exp. Psychol. Hum. Percept. Perform. 42:671–82 [Google Scholar]
  81. Tiwari G, Bangdiwala S, Saraswat A, Gaurav S. 2007. Survival analysis: pedestrian risk exposure at signalized intersections. Transport. Res. F 10:77–89 [Google Scholar]
  82. van den Berg R, Anandalingam K, Zylberberg A, Kiani R, Shadlen MN, Wolpert DM. 2016. A common mechanism underlies changes of mind about decisions and confidence. eLife 5:e12192 [Google Scholar]
  83. Vickers D. 1979. Decision Processes in Visual Perception New York: Academic
  84. 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 50:179–97 [Google Scholar]
  85. Wallis JD. 2012. Cross-species studies of orbitofrontal cortex and value-based decision-making. Nat. Neurosci. 15:13–19 [Google Scholar]
  86. Wilimzig C, Tsuchiya N, Fahle M, Einhäuser W, Koch C. 2008. Spatial attention increases performance but not subjective confidence in a discrimination task. J. Vis. 8:57 [Google Scholar]
  87. Yeung N, Summerfield C. 2012. Metacognition in human decision-making: confidence and error monitoring. Philos. Trans. R. Soc. Lond. B 367:1310–21 [Google Scholar]
  88. Zizlsperger L, Sauvigny T, Händel B, Haarmeier T. 2014. Cortical representations of confidence in a visual perceptual decision. Nat. Commun. 5:3940 [Google Scholar]
  89. Zylberberg A, Barttfeld P, Sigman M. 2012. The construction of confidence in a perceptual decision. Front. Integr. Neurosci. 6:79 [Google Scholar]
  90. Zylberberg A, Roelfsema PR, Sigman M. 2014. Variance misperception explains illusions of confidence in simple perceptual decisions. Conscious. Cogn. 27:246–53 [Google Scholar]
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Visual Confidence
Annual Review of Vision Science 2, 459 (2016); https://doi.org/10.1146/annurev-vision-111815-114630
/content/journals/10.1146/annurev-vision-111815-114630
/content/journals/10.1146/annurev-vision-111815-114630
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