Vestnik of Saint Petersburg University. Psychology
2023. Vol. 13, no. 3, 324–346
doi:10.21638/spbu16.2023.303
ISSN: 2658-3607 / 2658-6010 (online)
Metacognitive Monitoring and Control in Distributed Cognition
Abstract
Today we experience an ongoing expansion of the range of available information, advanced communication technologies, and an increase in multitasking. This has resulted in a distributed nature of cognitive activity, where external resources, devices and other people are involved. That’s why the development of metacognitive knowledge and strategies is crucial for effective usage of one’s own cognitive abilities, as well as cultural and technological advances. In this review we analyze and describe the specifics of metacognitive monitoring and control in the context of distributed cognition. First of all, we consider different approaches to explaining how metacognitive judgments are formed, we then analyze empirical studies of the involvement of metacognitive judgments in regulation of cognitive performance. The article emphasizes the importance of metacognitive experiences and judgments in prevention and correction of cognitive errors, searching for and integrating information from external sources, and making joint decisions. It has been shown that metacognitive experiences and judgments based on them play a crucial role in building representations of one’s own competence when solving the problem. Metacognitive experiences are also involved in regulating the search for information, initiating cognitive offloading and seeking help from others. They also play an important role in the formation of epistemic trust in other people and accepting their advices, improving effectiveness through social verification of knowledge, and are used as heuristic in joint decisions making
General Information
Keywords: metacognition, metacognitive experience, distributed cognition, cognitive offloading, explore-exploit trade-off, epistemic trust, confidence heuristic
Journal rubric: Theory and Methodology of Psychology
Article type: scientific article
DOI: https://doi.org/10.21638/spbu16.2023.303
Funding. The study was supported by the Russian Science Foundation grant no. 22-28-01456 “The role of metacognitive experiences in the process of intra- and intersubjective monitoring of errors in making intuitive judgments”.
Received: 20.04.2023
Accepted:
For citation: Metacognitive Monitoring and Control in Distributed Cognition. Vestnik of Saint Petersburg University. Psychology, 2023. Vol. 13, no. 3, pp. 324–346. DOI: 10.21638/spbu16.2023.303. (In Russ., аbstr. in Engl.)
References
Ackerman, R. (2014). The diminishing criterion model for metacognitive regulation of time investment. Journal of experimental psychology. General, 143 (3), 1349–1368. https://doi.org/10.1037/a0035098
Ackerman, R. (2019). Heuristic cues for meta-reasoning judgments: Review and methodology. Psychological Topics, 28 (1), 1–20. https://doi.org/10.31820/pt.28.1.1
Ackerman, R., Thompson, V. A. (2017). Meta-reasoning: Monitoring and control of thinking and reasoning. Trends in cognitive sciences, 21 (8), 607–617. https://doi.org/10.1016/j.tics.2017.05.004
Allakhverdov, V. M. (1993). The experience of theoretical psychology (in the genre of scientific revolution ). St. Petersburg, Pechatnyi dvor Publ. (In Russian)
Alter, A. L., Oppenheimer, D. M. (2009). Uniting the tribes of fluency to form a metacognitive nation. Personality and social psychology review, 13 (3), 219–235. https://doi.org/10.1177/1088868309341564
Bahrami, B., Olsen, K., Latham, P. E., Roepstorff, A., Rees, G., Frith, C. D. (2010). Optimally interacting minds. Science, 329 (5995), 1081–1085. https://doi.org/10.1126/science.1185718
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84 (2), 191. https://doi.org/10.1037/0033-295X. 84.2.191
Bandura, A. (2000). Social Learning Theory . St. Petersburg, Evraziia Publ. (In Russian).
Bang, D., Fusaroli, R., Tylén, K., Olsen, K., Latham, P. E., Lau, J. Y. F., Roepstorff, A., Rees, G., Frith, C. D., Bahrami, B. (2014). Does interaction matter? Testing whether a confidence heuristic can replace interaction in collective decision-making. Consciousness and cognition, 26, 13–23. https://doi.org/10.1016/j.concog.2014.02.002
Boldt, A., Blundell, C., De Martino, B. (2019). Confidence modulates exploration and exploitation in value-based learning. Neuroscience of consciousness, 2019 (1), 004. https://doi.org/10.1093/nc/niz004
Bröder, A., Newell, B. R. (2008). Challenging some common beliefs: Empirical work within the adaptive toolbox metaphor. Judgment and Decision Making, 3 (3), 205–214. https://doi.org/10.1017/S1930297500002412
Carlebach, N., Yeung, N. (2023). Flexible use of confidence to guide advice requests. Cognition, 230, 105264. https://doi.org/10.1016/j.cognition.2022.105264
Carruthers, P. (2009). Mindreading underlies metacognition. Behavioral and brain sciences, 32 (2), 164–182. https://doi.org/10.1017/S0140525X09000831
Carruthers, P., Williams, D. M. (2022). Model-free metacognition. Cognition, 225, 105117. https://doi.org/10.1016/j.cognition.2022.105117
Chetverikov, A. A., Odainik, A. S. (2013). Models of subjective evaluation of performance in cognitive tasks. Part 1. Theories of additional evaluation and partial access theories. Vestnik of Saint Petersburg University. Psychology, 3, 55–61. (In Russian)
Chetverikov, A. A., Odainik, A. S. (2014). Models of subjective evaluation of performance in cognitive tasks. Part 2. Inferential theories. Vestnik of Saint Petersburg University. Psychology, 1, 117–125. (In Russian)
Cleeremans, A. (2014). Connecting conscious and unconscious processing. Cognitive science, 38 (6), 1286–1315. https://doi.org/10.1111/cogs.12149
Cohen, J. D., McClure, S. M., Yu, A. J. (2007). Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration. Philosophical Transactions of the Royal Society B: Biological Sciences, 362 (1481), 933–942. https://doi.org/10.1098/rstb.2007.2098
Desender, K., Boldt, A., Yeung, N. (2018). Subjective confidence predicts information seeking in decision making. Psychological science, 29 (5), 761–778. https://doi.org/10.1177/0956797617744771
Echterhoff, G., Higgins, E. T., Kopietz, R., Groll, S. (2008). How communication goals determine when audience tuning biases memory. Journal of Experimental Psychology: General, 137 (1), 3. https://doi.org/10.1037/0096-3445.137.1.3
Echterhoff, G., Higgins, E. T., Levine, J. M. (2009). Shared reality: Experiencing commonality with others’ inner states about the world. Perspectives on Psychological Science, 4 (5), 496–521. https://doi.org/10.1111/j.1745-6924.2009.01161.x
Efklides, A. (2001). Metacognitive experiences in problem solving. In: A. Efklides, J. Kuhl, R. M. Sorrentino (eds.). Trends and prospects in motivation research (pp. 297–323). Dordrecht, Kluwer Academic Publ.
Efklides, A. (2006). Metacognition and affect: What can metacognitive experiences tell us about the learning process? Educational research review, 1 (1), 3–14. https://doi.org/10.1016/j.edurev.2005.11.001
Ferguson, A. M., McLean, D., Risko, E. F. (2015). Answers at your fingertips: Access to the Internet influences willingness to answer questions. Consciousness and cognition, 37, 91–102. https://doi.org/10.1016/j.concog.2015.08.008
Festinger, L. (1954). A theory of social comparison processes. Human relations, 7 (2), 117–140. https://doi.org/10.1177/001872675400700202
Fisher, M., Goddu, M. K., Keil, F. C. (2015). Searching for explanations: How the Internet inflates estimates of internal knowledge. Journal of experimental psychology: General, 144 (3), 674–687. https://doi.org/10.1037/xge0000070
Flavell, J. H. (1976). Metacognitive aspects of problem solving. In: L. B. Resnick (ed.). The nature of intelligence (pp. 231–236). Hillsdale, Erlbaum.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American psychologist, 34 (10), 906–911. https://doi.org/10.1037/0003-066X. 34.10.906
Flavell, J. H. (2000). Development of children’s knowledge about the mental world. International journal of behavioral development, 24 (1), 15–23. https://doi.org/10.1080/016502500383421
Fleming, S. M., Daw, N. D. (2017). Self-evaluation of decision-making: A general Bayesian framework for metacognitive computation. Psychological review, 124 (1), 91–114. https://doi.org/10.1037/rev0000045
Fleming, S. M., Lau, H. C. (2014). How to measure metacognition. Frontiers in Human Neuroscience, 8, 443. https://doi.org/10.3389/fnhum.2014.00443
Fomin, A. E. (2015) Metacognitive Monitoring of Learning Problem Solving: Mechanisms and Biases. Kaluga: KGU im. K. E. Tsiolkovskogo Press. (In Russian)
Fourneret, P., Jeannerod, M. (1998). Limited conscious monitoring of motor performance in normal subjects. Neuropsychologia, 36 (11), 1133–1140. https://doi.org/10.1016/S0028-3932(98)00006-2
Frith, C. D. (2012). The role of metacognition in human social interactions. Philosophical Transactions of the Royal Society B: Biological Sciences, 367 (1599), 2213–2223. https://doi.org/10.1098/rstb.2012.0123
Gershkovich, V. A., Moroshkina, N. V., Naumenko, O. V., Allakhverdov, V. M. (2010). Social verification of hypotheses in solving problems with a high degree of uncertainty. Eksperimental’naia psikhologiia v Rossii: traditsii i perspektivy (pp. 372–376). Мoscow, Institute of Psychology RAS Press. (In Russian)
Gigerenzer, G., Hoffrage, U., Kleinbölting, H. (1991). Probabilistic mental models: a Brunswikian theory of confidence. Psychological review, 98 (4), 506–528. https://doi.org/10.1037/0033-295X.98.4.506
Goldsmith, M. (2016). Metacognitive quality-control processes in memory retrieval and reporting. In: J. Dunlosky, S. K. Tauber (eds). The Oxford Handbook of Metamemory (pp. 357–385). Oxford, Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199336746.013.28
Grinschgl, S., Papenmeier, F., Meyerhoff, H. S. (2021). Consequences of cognitive offloading: Boosting performance but diminishing memory. Quarterly Journal of Experimental Psychology, 74 (9), 1477–1496. https://doi.org/10.1177/17470218211008060
Hart, J. T. (1965). Memory and the feeling-of-knowing experience. Journal of Educational Psychology, 56 (4), 208–216. https://doi.org/10.1037/h0022263
Hanks, T. D., Mazurek, M. E., Kiani, R., Hopp, E., Shadlen, M. N. (2011). Elapsed decision time affects the weighting of prior probability in a perceptual decision task. Journal of Neuroscience, 31 (17), 6339–6352. https://doi.org/10.1523/JNEUROSCI.5613-10.2011
Heyes, C. (2018). Cognitive gadgets: The cultural evolution of thinking. Cambridge, Harvard University Press. https://doi.org/10.4159/9780674985155
Heyes, C., Bang, D., Shea, N., Frith, C. D., Fleming, S. M. (2020). Knowing ourselves together: The cultural origins of metacognition. Trends in cognitive sciences, 24 (5), 349–362. https://doi.org/10.1016/j.tics.2020.02.007
Hu, X., Luo, L., Fleming, S. M. (2019). A role for metamemory in cognitive offloading. Cognition, 193, 104012. https://doi.org/10.1016/j.cognition.2019.104012
Hutchins, E. (1991). The social organization of distributed cognition. In: L. B. Resnick, J. M. Levine, S. D. Teasley (eds). Perspectives on Socially Shared Cognition (pp. 283–307). Washington, American Psychological Association. https://doi.org/10.1037/10096-012
Jost, J. T., Kruglanski, A. W., Nelson, T. O. (1998). Social metacognition: An expansionist review. Personality and Social Psychology Review, 2 (2), 137–154. https://doi.org/10.1207/s15327957pspr0202_6
Kinder, A., Shanks, D. R., Cock, J., Tunney, R. J. (2003). Recollection, fluency, and the explicit/implicit distinction in artificial grammar learning. Journal of Experimental Psychology: General, 132 (4), 551–565. https://doi.org/10.1037/0096-3445.132.4.551
Koriat, A. (1997). Monitoring one’s own knowledge during study: A cue-utilization approach to judgments of learning. Journal of experimental psychology: General, 126 (4), 349–370. https://doi.org/10.1037/0096-3445.126.4.349
Koriat, A. (1998). Metamemory: The feeling of knowing and its vagaries. In: M. Sabourin, F. Craik, M. Robert (eds.). Advances in Psychological Science. Vol. 2. Biological and cognitive aspects (pp. 461–479). Erlbaum, Taylor & Francis.
Koriat, A. (2007). Metacognition and consciousness. In: P. D. Zelazo, M. Moscovitch, E. Thompson (eds). The Cambridge handbook of consciousness (pp. 289–325). Cambridge, Cambridge University Press. https://doi.org/10.1017/CBO9780511816789.012
Koriat, A. (2012a). The self-consistency model of subjective confidence. Psychological Review, 119 (1), 80–113. https://doi.org/10.1037/a0025648
Koriat, A. (2012b). When are two heads better than one and why? Science, 336 (6079), 360–362. https://doi.org/10.1126/science.1216549
Koriat, A., Ma’ayan, H., Nussinson, R. (2006). The intricate relationships between monitoring and control in metacognition: lessons for the cause-and-effect relation between subjective experience and behavior. Journal of experimental psychology: General, 135 (1), 36–69. https://doi.org/10.1037/0096-3445.135.1.36
Krueger, K. (2017). The impact of another person’s responses to opinion communication: shared reality, epistemic trust, and belief certainty. Master’s thesis. Pittsburgh, University of Pittsburgh.
Kruger, J., Dunning, D. (1999). Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated self-assessments. Journal of personality and social psychology, 77 (6), 1121–1134. https://doi.org/10.1037/0022-3514.77.6.1121
Lebuda, I., Benedek, M. (2023). A systematic framework of creative metacognition. PsyArXiv. Available at: https://psyarxiv.com/s793q (accessed: 16.04.2023).
Moran, R., Teodorescu, A. R., Usher, M. (2015). Post choice information integration as a causal determinant of confidence: Novel data and a computational account. Cognitive psychology, 78, 99–147. https://doi.org/10.1016/j.cogpsych.2015.01.002
Moroshkina, N. V., Ivanchei, I. I., Karpov, A. D. (2017). Implicit Learning. In: V. F. Spiridonov (ed.). Izbrannye razdely psikhologii naucheniia (pp. 223–275). Moscow, Delo Publ. of RANEPA. (In Russian)
Nelson, T. O., Narens, L. (1990). Metamemory: A theoretical framework and new findings. Psychology of learning and motivation, 26, 125–173. https://doi.org/10.1016/S0079-7421(08)60053-5
Newell, B. R., Shanks, D. R. (2003). Take the best or look at the rest? Factors influencing “one-reason” decision making. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29 (1), 53. https://doi.org/10.1037/0278-7393.29.1.53
Nezdoimyshapko, L. A., Tikhonov, R. V. (2023). The role of response consonance in trust building in advice from humans and artificial intelligence [Paper presentation]. In: I. Yu. Vladimirov, S. Yu. Korovkin (eds). Psikhologiia poznaniia: materialy Vserossiiskoi nauchnoi konferentsii YarGU (16–17 December 2022) (pp. 230–234). Yaroslavl’: Filigran’ Publ. (In Russian)
Pescetelli, N., Hauperich, A. K., Yeung, N. (2021). Confidence, advice seeking and changes of mind in decision making. Cognition, 215, 104810. https://doi.org/10.1016/j.cognition.2021.104810
Pescetelli, N., Yeung, N. (2021). The role of decision confidence in advice-taking and trust formation. Journal of Experimental Psychology: General, 150 (3), 507–526. https://doi.org/10.1037/xge0000960
Pulford, B. D., Colman, A. M., Buabang, E. K., Krockow, E. M. (2018). The persuasive power of knowledge: Testing the confidence heuristic. Journal of Experimental Psychology: General, 147 (10), 1431–1444. https://doi.org/10.1037/xge0000471
Rahnev, D., Koizumi, A., McCurdy, L. Y., D’Esposito, M., Lau, H. (2015). Confidence leak in perceptual decision making. Psychological Science, 26 (11), 1664–1680. https://doi.org/10.1177/0956797615595037
Reber, R., Schwarz, N. (1999). Effects of perceptual fluency on judgments of truth. Consciousness and Cognition, 8 (3), 338–342. https://doi.org/10.1006/ccog.1999.0386
Reber, R., Schwarz, N., Winkielman, P. (2004). Processing fluency and aesthetic pleasure: Is beauty in the perceiver’s processing experience? Personality and Social Psychology Review, 8 (4), 364–382. https://doi.org/10.1207/s15327957pspr0804_3
Risko, E. F., Gilbert, S. J. (2016). Cognitive offloading. Trends in cognitive sciences, 20 (9), 676–688. https://doi.org/10.1016/j.tics.2016.07.002
Schulz, L., Fleming, S. M., Dayan, P. (2023). Metacognitive computations for information search: Confidence in control. Psychological Review, 130 (3), 604–639. https://doi.org/10.1037/rev0000401
Schwartz, B. L. (1999). Sparkling at the end of the tongue: The etiology of tip-of-the-tongue phenomenology. Psychonomic Bulletin & Review, 6, 379–393. https://doi.org/10.3758/BF03210827
Schwarz, N., Clore, G. L. (2007). Feelings and phenomenal experiences. In: A. W. Kruglanski, E. T. Higgins (eds). Social psychology: Handbook of basic principles (pp. 385–407). New York, The Guilford Press.
Shea, N., Boldt, A., Bang, D., Yeung, N., Heyes, C., Frith, C. D. (2014). Supra-personal cognitive control and metacognition. Trends in Cognitive Sciences, 18 (4), 186–193. https://doi.org/10.1016/j.tics.2014.01.006
Shekhar, M., Rahnev, D. (2021). Sources of metacognitive inefficiency. Trends in Cognitive Sciences, 25 (1), 12–23. https://doi.org/10.1016/j.tics.2020.10.007
Shendyapin, V. M., Barabanschikov, V. A., Skotnikova, I. G. (2010). Confidence in decision: modeling and experimental verification. Experimental Psychology, 3 (1), 30–57. Available at: https://psyjournals.ru/journals/exppsy/archive/2010_n1/28611 (accessed: 16.04.2023). (In Russian)
Sloman, S. A., Rabb, N. (2016). Your understanding is my understanding: Evidence for a community of knowledge. Psychological science, 27 (11), 1451–1460. https://doi.org/10.1177/0956797616662271
Sparrow, B., Liu, J., Wegner, D. M. (2011). Google effects on memory: Cognitive consequences of having information at our fingertips. Science, 333 (6043), 776–778. https://doi.org/10.1126/science.1207745
Storm, B. C., Soares, J. S. (2022). Memory in the digital age: preprint. https://doi.org/10.31234/osf.io/h8q6e
Tikhonov, R. V. (2020). Social verification of implicit knowledge. PhD dissertation (Psychology). St. Petersburg. (In Russian)
Tikhonov, R. V., Ammalainen, A. V., Moroshkina N. V. (2018). The variety of metacognitive feelings: Different phenomena or different terms? Vestnik of Saint Petersburg University. Psychology, 8 (3), 214–242. https://doi.org/10.21638/11701/spbu16.2018.302 (In Russian)
Tikhonov, R. V., Ovchinnikova, I. V. (2016). Role of social interaction in learning processes. Peterburgskii psikhologicheskii zhurnal, 17, 172–186. Available at: https://ppj.spbpo.ru/psy/article/view/138 (accessed: 16.04.2023). (In Russian)
Tikhonov, R., Moroshkina, N. (2023) The social verification of implicit knowledge in dyads: The mediating role of confidence. Journal of Cognitive Psychology, 35 (5), 578–593. https://doi.org/10.1080/20445911.2023.2220924
Undorf, M., Livneh, I., Ackerman, R. (2021). Metacognitive control processes in question answering: help seeking and withholding answers. Metacognition and Learning, 16 (2), 431–458. https://doi.org/10.1007/s11409-021-09259-7
Vygotskii, L. S. (1984). Collected opuses: in 6 vols. Vol. 6. Scientific heritage. Moscow, Pedagogika Publ. (In Russian)
Whittlesea, B. W., Jacoby, L. L., Girard, K. (1990). Illusions of immediate memory: Evidence of an attributional basis for feelings of familiarity and perceptual quality. Journal of Memory and Language, 29 (6), 716–732. https://doi.org/10.1016/0749-596X(90)90045-2
Whittlesea, B. W., Price, J. R. (2001). Implicit/explicit memory versus analytic/nonanalytic processing: Rethinking the mere exposure effect. Memory & Cognition, 29 (2), 234–246. https://doi.org/10.3758/BF03194917
Zhang, J., Patel, V. L. (2006). Distributed cognition, representation, and affordance. Pragmatics & Cognition, 14 (2), 333–341. https://doi.org/10.1075/pc.14.2.12zha
Zylberberg, A., Barttfeld, P., Sigman, M. (2012). The construction of confidence in a perceptual decision. Frontiers in integrative neuroscience, 6, 79. https://doi.org/10.3389/fnint.2012.00079
Metrics
Views
Total: 130
Previous month: 6
Current month: 2
Downloads
Total: 206
Previous month: 16
Current month: 3