Your Understanding Is My Understanding: Evidence for a Community of Knowledge

Psychological Science

Volumn 27, Issue 11, 2016, Pages 1451-1460

  Sloman, Steven A ^a   Rabb, Nathaniel ^a  

^a BROWN UNIVERSITY   (United States)

Author keywords

cognitive processes; judgment; knowledge level; monitoring; open data; open materials

Indexed keywords

ADULT; ATTENTION; COGNITION; COMPREHENSION; DECISION MAKING; FEMALE; HUMAN; KNOWLEDGE; MALE; PHYSIOLOGY; TASK PERFORMANCE;

ADULT; ATTENTION; COGNITION; COMPREHENSION; FEMALE; HUMANS; JUDGMENT; KNOWLEDGE; MALE; TASK PERFORMANCE AND ANALYSIS;

EID: 84994376897     PISSN: 09567976     EISSN: 14679280     Source Type: Journal    
DOI: 10.1177/0956797616662271     Document Type: Article

References (41)

1. Alter A. L., Oppenheimer D. M., Zemla J. C., (2010). Missing the trees for the forest: A construal level account of the illusion of explanatory depth. Journal of Personality and Social Psychology, 99, 436–451.
2. Apperly I. A., Back E., Samson D., France L., (2008). The cost of thinking about false beliefs: Evidence from adults’ performance on a non-inferential theory of mind task. Cognition, 106, 1093–1108.
3. Atir S., Rosenzweig E., Dunning D., (2015). When knowledge knows no bounds: Self-perceived expertise predicts claims of impossible knowledge. Psychological Science, 26, 1295–1303.
4. Baron-Cohen S., (1991). Precursors to a theory of mind: Understanding attention in others. In Whiten A., (Ed.), Natural theories of mind: Evolution, development and simulation of everyday mindreading (pp. 233–251). Oxford, England: Basil Blackwell.
5. Birch S. A. J., Bloom P., (2007). The curse of knowledge in reasoning about false beliefs. Psychological Science, 18, 382–386.
6. Camerer C., Loewenstein G., Weber M., (1989). The curse of knowledge in economic settings: An experimental analysis. The Journal of Political Economy, 97, 1232–1254.
7. Fernandez-Duque D., Evans J., Christian C., Hodges S. D., (2014). Superfluous neuroscience information makes explanations of psychological phenomena more appealing. Journal of Cognitive Neuroscience, 27, 926–944.
8. Fernbach P. M., Rogers T., Fox C. R., Sloman S. A., (2013). Political extremism is supported by an illusion of understanding. Psychological Science, 24, 939–946.
9. 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, 674–687.
10. Fisher M., Keil F. C., (2015). The curse of expertise: When more knowledge leads to miscalibrated explanatory insight. Cognitive Science, 40, 1251–1269.
11. Gelman S. A., (2003). The essential child: Origins of essentialism in everyday thought. New York, NY: Oxford University Press.
12. Gruber D., Dickerson J. A., (2012). Persuasive images in popular science: Testing judgments of scientific reasoning and credibility. Public Understanding of Science, 21, 938–948.
13. Haard J., Slater M. D., Long M., (2004). Scientese and ambiguous citations in the selling of unproven medical treatments. Health Communication, 16, 411–426.
14. Hardwig J., (1985). Epistemic dependence. Journal of Philosophy, 82, 335–349.
15. Hook C. J., Farah M. J., (2013). Look again: Effects of brain images and mind-brain dualism on lay evaluations of research. Journal of Cognitive Neuroscience, 25, 1397–1405.
16. Ikeda K., Shinji K., Takahashi T., Hattori Y., Ito Y., (2013). Neuroscientific information bias in metacomprehension: The effect of brain images on metacomprehension judgment of neuroscience research. Psychonomic Bulletin & Review, 20, 1357–1363.
17. Keehner M., Mayberry L., Fischer M. H., (2011). Different clues from different views: The role of image format in public perceptions of neuroimaging results. Psychonomic Bulletin & Review, 18, 422–428.
18. Keil F. C., Stein C., Webb L., Billings V. D., Rozenblit L., (2008). Discerning the division of cognitive labor: An emerging understanding of how knowledge is clustered in other minds. Cognitive Science, 32, 259–300.
19. Kominsky J. F., Keil F. C., (2014). Overestimation of knowledge about word meanings: The “misplaced meaning” effect. Cognitive Science, 38, 1604–1633.
20. Kripke S. A., (1972). Naming and necessity. Cambridge, MA: Harvard University Press.
21. McCabe D. P., Castel A. D., (2008). Seeing is believing: The effect of brain images on judgments of scientific reasoning. Cognition, 107, 343–352.
22. Medin D., Ortony A., (1989). Psychological essentialism. In Vosniadou S., Ortony A., (Eds.), Similarity and analogical reasoning (pp. 179–195). Cambridge, England: Cambridge University Press.
23. Michael R. B., Newman E. J., Vuorre M., Cumming G., Garry M., (2013). On the (non)persuasive power of a brain image. Psychonomic Bulletin & Review, 20, 720–725.
24. Nickerson R. S., (1999). How we know—and sometimes misjudge—what others know: Imputing one’s own knowledge to others. Psychological Bulletin, 125, 737–759.
25. Putnam H., (1975). The meaning of “meaning.” In Gunderson K., (Ed.), Language, mind, and knowledge (pp. 131–193). Minneapolis: University of Minnesota Press.
26. Rozenblit L., Keil F., (2002). The misunderstood limits of folk science: An illusion of explanatory depth. Cognitive Science, 26, 521–562.
27. Schweitzer N. J., Baker D. A., Risko E. F., (2013). Fooled by the brain: Re-examining the influence of neuroimages. Cognition, 129, 501–511.
28. Sloman S., Lombrozo T., Malt B., (2007). Ontological commitments and domain specific categorisation. In Roberts M. J., (Ed.), Integrating the mind: Domain general versus domain specific processes in higher cognition (pp. 105–129). New York, NY: Psychology Press.
29. Sparrow B., Liu J., Wegner D. M., (2011). Google effects on memory: Cognitive consequences of having information at our fingertips. Science, 333, 776–778.
30. Storm B. C., Stone S. M., (2015). Saving-enhanced memory: The benefits of saving on the learning and remembering of new information. Psychological Science, 26, 182–188.
31. Tal A., Wansink B., (2014). Blinded with science: Trivial graphs and formulas increase ad persuasiveness and belief in product efficacy. Public Understanding of Science, 25, 117–125. doi:10.1177/0963662514549688
32. Ward A. F., (2013). One with the cloud: Why people mistake the Internet’s knowledge for their own (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses database. (Order No. 3567118)
33. Wegner D. M., (1987). Transactive memory: A contemporary analysis of the group mind. In Mullen B., Goethals G. R., (Eds.), Theories of group behavior (pp. 185–208). New York, NY: Springer.
34. Wegner D. M., (1995). A computer network model of human transactive memory. Social Cognition, 13, 319–339.
35. Weisberg D. S., Keil F. C., Goodstein J., Rawson E., Gray J. R., (2008). The seductive allure of neuroscience explanations. Journal of Cognitive Neuroscience, 20, 470–477.
36. Weisberg D. S., Taylor J. C. V., Hopkins E. J., (2015). Deconstructing the seductive allure of neuroscience explanations. Judgment and Decision Making, 10, 429–441.
37. Welbourne M., (1981). The community of knowledge. The Philosophical Quarterly, 31, 302–314.
38. Wellman H. M., Bartsch K., (1988). Young children’s reasoning about beliefs. Cognition, 30, 239–277.
39. Widner R. L., Smith S. M., Graziano W. G., (1991). The effects of demand characteristics on the reporting of tip-of-the-tongue and feeling-of-knowing states. American Journal of Psychology, 109, 525–538.
40. Wilson M., (2002). Six views of embodied cognition. Psychonomic Bulletin & Review, 9, 625–636.
41. Wilson R. A., Keil F., (1998). The shadows and shallows of explanation. Minds and Machines, 8, 137–159.