Black “Reading the Mind in the Eyes” task: The development of a task assessing mentalizing from black faces

English version

Autoři: Grace Handley ^aff001; Jennifer T. Kubota ^aff001; Tianyi Li ^aff003; Jasmin Cloutier ^aff001
Působiště autorů: Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware, United States of America ^aff001; Department of Political Science & International Relations, University of Delaware, Newark, Delaware, United States of America ^aff002; College of Business Administration, University of Illinois Chicago, Chicago, Illinois, United States of America ^aff003
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0221867

Souhrn

Researchers investigating various facets of theory of mind, sometimes referred to as mentalizing, are increasingly exploring how social group membership influences this process. To facilitate this research, we introduce the Black Reading the Mind in The Eyes task, a freely available 36-item Black RME task with an array of norming data about these stimuli. Stimuli have been created and equated to match the original Reading the Mind in the Eyes (RME) task which included only White faces. Norming data were collected in three waves that characterized the physical properties of the stimuli and also participants’ subjective ratings of the stimuli. Between each round of ratings, stimuli that did not equate with the original RME task or were not distinctly recognized as Black were removed and new stimuli were incorporated in the next round until we obtained 36 distinctive Black RME targets that matched the 36 mental states used in the original RME stimulus set. Both stimulus sets were similarly difficult and subsequent testing showed that neither Black nor White participants’ mentalizing accuracy varied as a function of target race. We provide instructions for obtaining the database and stimulus ratings.

Klíčová slova:

Biology and life sciences – Neuroscience – Cognitive science – Cognitive psychology – Learning and memory – Psychology – Social sciences – People and places – Population groupings – Anatomy – Medicine and health sciences – Head – Age groups – Emotions – Cognition – Memory – Face recognition – Perception – Face – Eyes – Ocular system – Theory of mind – Social cognition – Social psychology – Adults

Zdroje

1. Baron-Cohen S, Wheelwright S, Hill J, Raste Y, Plumb I. The “Reading the Mind in the Eyes” test revised version: A study with normal adults, and adults with Asperger syndrome or high-functioning autism. J Child Psychol Psychiatry. 2001;42: 241–251. doi: 10.1111/1469-7610.00715 11280420

2. Adams RB, Rule NO, Franklin RG, Wang E, Stevenson MT, Yoshikawa S, et al. Cross-cultural Reading the Mind in the Eyes: An fMRI Investigation. J Cogn Neurosci. MIT Press; 2009;22: 97–108. doi: 10.1162/jocn.2009.21187 19199419

3. Bruce V, Young A. In the eye of the beholder: The science of face perception. New York, NY, US: Oxford University Press; 1998.

4. Haxby J V, Hoffman EA, Gobbini MI. The distributed human neural system for face perception. Trends Cogn Sci. Elsevier; 2000;4: 223–233. doi: 10.1016/S1364-6613(00)01482-0

5. Haxby J V, Gobbini MI. Distributed neural systems for face perception. In: Rhodes G, Calder A, Johnson M, Haxby J V, editors. Oxford Handbook of Face Perception. Oxford University Press; 2011. pp. 93–110.

6. Cloutier J, Mason MF, Macrae CN. The perceptual determinants of person construal: Reopening the social-cognitive toolbox. Journal of Personality and Social Psychology. Cloutier, Jasmin: Department of Psychological and Brain Sciences, Dartmouth College, Moore Hall, Hanover, NH, US, 03755, jasmin.cloutier@dartmouth.edu: American Psychological Association; 2005. pp. 885–894. doi: 10.1037/0022-3514.88.6.885 15982111

7. Cloutier J, Turk DJ, Neil Macrae C. Extracting variant and invariant information from faces: The neural substrates of gaze detection and sex categorization. Soc Neurosci. Routledge; 2008;3: 69–78. doi: 10.1080/17470910701563483 18633848

8. Todorov A, Mende-Siedlecki P, Dotsch R. Social judgments from faces. Curr Opin Neurobiol. 2013;23: 373–380. https://doi.org/10.1016/j.conb.2012.12.010 23347644

9. Baron-Cohen S, Leslie AM, Frith U. Does the autistic child have a “theory of mind”? Cognition. 1985;21: 37–46. 2934210

10. Baron-Cohen S, Wheelwright S, Jolliffe T. Is there a “language of the eyes”? Evidence from normal adults, and adults with autism or Asperger syndrome. Vis cogn. United Kingdom: Taylor & Francis; 1997;4: 311–331. doi: 10.1080/713756761

11. Baron-Cohen S, Jolliffe T, Mortimore C, Robertson M. Another advanced test of theory of mind: Evidence from very high functioning adults with autism or Asperger syndrome. Child Psychology & Psychiatry & Allied Disciplines. United Kingdom: Cambridge University Press; 1997. pp. 813–822. doi: 10.1111/j.1469-7610.1997.tb01599.x

12. Adolphs R, Gosselin F, Buchanan TW, Tranel D, Schyns P, Damasio AR. A mechanism for impaired fear recognition after amygdala damage. Nature. Macmillian Magazines Ltd.; 2005;433: 68. Available: http://dx.doi.org/10.1038/nature03086

13. Adams RB, Kleck RE. Effects of direct and averted gaze on the perception of facially communicated emotion. Emotion. Adams, Reginald B., Jr.: Department of Psychology, Tufts University, 490 Boston Avenue, Medford, MA, US, 02155, rba@alum.dartmouth.org: American Psychological Association; 2005. pp. 3–11. doi: 10.1037/1528-3542.5.1.3 15755215

14. Caldara R, Schyns P, Mayer E, Smith ML, Gosselin F, Rossion B. Does prosopagnosia take the eyes out of face representations? Evidence for a defect in representing diagnostic facial information following brain damage. J Cogn Neurosci. 2005;17: 1652–1666. doi: 10.1162/089892905774597254 16269103

15. Dotsch R, Todorov A. Reverse correlating social face perception. Soc Psychol Personal Sci. SAGE Publications Inc; 2011;3: 562–571. doi: 10.1177/1948550611430272

16. Jack RE, Schyns PG. The human face as a dynamic tool for social communication. Curr Biol. 2015;25: R621–R634. https://doi.org/10.1016/j.cub.2015.05.052 26196493

17. Lee DH, Susskind JM, Anderson AK. Social transmission of the sensory benefits of eye widening in fear expressions. Psychol Sci. SAGE Publications Inc; 2013;24: 957–965. doi: 10.1177/0956797612464500 23620549

18. Schurgin MW, Nelson J, Iida S, Ohira H, Chiao JY, Franconeri SL. Eye movements during emotion recognition in faces. J Vis. 2014;14: 14. Available: http://dx.doi.org/10.1167/14.13.14

19. Domes G, Heinrichs M, Michel A, Berger C, Herpertz SC. Oxytocin improves “mind-reading” in humans. Biol Psychiatry. Elsevier; 2007;61: 731–733. doi: 10.1016/j.biopsych.2006.07.015 17137561

20. Rice K, Viscomi B, Riggins T, Redcay E. Amygdala volume linked to individual differences in mental state inference in early childhood and adulthood. Dev Cogn Neurosci. Elsevier Ltd; 2014;8: 153–163. https://doi.org/10.1016/j.dcn.2013.09.003

21. Stone VE, Baron-Cohen S, Knight RT. Frontal lobe contributions to theory of mind. J Cogn Neurosci. 1998;10: 640–656. doi: 10.1162/089892998562942 9802997

22. Birch SAJ, Bloom P. The curse of knowledge in reasoning about false beliefs: Research report. Psychol Sci. 2007;18: 382–386.

23. Gallagher HL, Frith CD. Network and psychological effects in URBAN MOVEMENT.pdf. 2003;7: 77–83.

24. Schurz M, Radua J, Aichhorn M, Richlan F, Perner J. Fractionating theory of mind: A meta-analysis of functional brain imaging studies. Neurosci Biobehav Rev. Elsevier Ltd; 2014;42: 9–34. doi: 10.1016/j.neubiorev.2014.01.009 24486722

25. Spreng RN, Mar RA, Kim ASN. The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: A quantitative meta-analysis. J Cogn Neurosci. 2008;21: 489–510. doi: 10.1162/jocn.2008.21029 18510452

26. Barkowitz P, Brigham JC. Recognition of faces: Own-race bias, incentive, and time delay. J Appl Soc Psychol. Wiley/Blackwell (10.1111); 1982;12: 255–268. doi: 10.1111/j.1559-1816.1982.tb00863.x

27. Lindsay DS, Jack PC, Christian MA. Other-race face perception. J Appl Psychol. 1991;76: 587–589. doi: 10.1037//0021-9010.76.4.587 1917773

28. Meissner CA, Brigham JC. Thirty years of investigating the own-race bias in memory for faces: A meta-analytic review. Psychol Public Policy, Law. US: American Psychological Association; 2001;7: 3–35. doi: 10.1037/1076-8971.7.1.3

29. Michel C, Rossion B, Han J, Chung C-S, Caldara R. Holistic processing is finely tuned for faces of one’s own race. Psychol Sci. SAGE Publications Inc; 2006;17: 608–615. doi: 10.1111/j.1467-9280.2006.01752.x 16866747

30. Cloutier J, Macrae CN. Who or what are you?: Facial orientation and person construal. Eur J Soc Psychol. 2007;37: 1298–1309. doi: 10.1002/ejsp

31. DeGutis J, Wilmer J, Mercado RJ, Cohan S. Using regression to measure holistic face processing reveals a strong link with face recognition ability. Cognition. 2013;126: 87–100.

32. Wang R, Li J, Fang H, Tian M, Liu J. Individual differences in holistic processing predict face recognition ability. Psychol Sci. SAGE Publications Inc; 2012;23: 169–177. doi: 10.1177/0956797611420575 22222218

33. Richler JJ, Cheung OS, Gauthier I. Holistic processing predicts face recognition. Psychol Sci. 2011;22: 464–471. doi: 10.1177/0956797611401753 21393576

34. Hugenberg K, Young S, Rydell RJ, Almaraz S, Stanko KA, See PE, et al. The face of humanity: Configural face processing influences ascriptions of humanness. Soc Psychol Personal Sci. 2016;7: 167–175. doi: 10.1177/1948550615609734

35. Devine PG. Stereotypes and prejudice: Their automatic and controlled components. Journal of Personality and Social Psychology. US: American Psychological Association; 1989. pp. 5–18. doi: 10.1037/0022-3514.56.1.5

36. Bargh JA, Chen M, Burrows L. Automaticity of social behavior: Direct effects of trait construct and stereotype activation on action. Journal of Personality and Social Psychology. US: American Psychological Association; 1996. pp. 230–244. doi: 10.1037/0022-3514.71.2.230

37. Eberhardt JL, Purdie VJ, Goff PA, Davies PG. Seeing black: Race, crime, and visual processing. J Pers Soc Psychol. 2004;87: 876–893. doi: 10.1037/0022-3514.87.6.876 15598112

38. Gaertner SL, Dovidio JF. Understanding and addressing contemporary racism: From aversive racism to the common ingroup identity model. J Soc Issues. Wiley/Blackwell (10.1111); 2005;61: 615–639. doi: 10.1111/j.1540-4560.2005.00424.x

39. Banaji M, Greenwald AG. Implicit stereotyping and prejudice. The Psychology of Prejudice: The Ontario Symposium, Vol 7. Hillsdale, NJ, US: Lawrence Erlbaum Associates, Inc; 1994. pp. 55–76.

40. Wittenbrink B, Judd CM, Park B. Evidence for racial prejudice at the implicit level and its relationship with questionnaire measures. J Pers Soc Psychol. US: American Psychological Association; 1997;72: 262–274. doi: 10.1037/0022-3514.72.2.262

41. Fiske ST. Stereotyping, prejudice, and discrimination. The handbook of social psychology, Vols 1–2, 4th ed. New York, NY, US: McGraw-Hill; 1998. pp. 357–411.

42. Nosek BA, Smyth FL, Hansen JJ, Devos T, Lindner NM, Ranganath KA, et al. Pervasiveness and correlates of implicit attitudes and stereotypes. Eur Rev Soc Psychol. 2007;18: 36–88. doi: 10.1080/10463280701489053

43. Dasgupta N, McGhee DE, Greenwald AG, Banaji MR. Automatic preference for white americans: Eliminating the familiarity explanation. J Exp Soc Psychol. 2000;36: 316–328. doi: 10.1006/jesp.1999.1418

44. Amodio DM, Harmon-Jones E, Devine PG. Individual differences in the activation and control of affective race bias as assessed by startle eyeblink response and self-report. J Pers Soc Psychol. 2003;84: 738–753. doi: 10.1037/0022-3514.84.4.738 12703646

45. Stanley DA, Sokol-Hessner P, Banaji MR, Phelps EA. Implicit race attitudes predict trustworthiness judgments and economic trust decisions. Proc Natl Acad Sci. 2011;108: 7710–7715. Available: http://www.pnas.org/content/108/19/7710.abstract 21518877

46. Strachan JWA, Kirkham AJ, Manssuer LR, Over H, Tipper SP. Incidental learning of trust from eye-gaze: Effects of race and facial trustworthiness. Vis cogn. Taylor & Francis; 2017;25: 802–814. doi: 10.1080/13506285.2017.1338321

47. Kubota JT, Li J, Bar-David E, Banaji MR, Phelps EA. The price of racial bias: Intergroup negotiations in the ultimatum game. Psychol Sci. 2013;24: 2498–2504. doi: 10.1177/0956797613496435 24121413

48. Contreras-Huerta LS, Baker KS, Reynolds KJ, Batalha L, Cunnington R. Racial bias in neural empathic responses to pain. PLoS One. Public Library of Science; 2013;8: e84001. Available: https://doi.org/10.1371/journal.pone.0084001

49. Xu X, Zuo X, Wang X, Han S. Do you feel my pain? Racial group membership modulates empathic neural responses. J Neurosci. Society for Neuroscience; 2009;29: 8525–8529. doi: 10.1523/JNEUROSCI.2418-09.2009 19571143

50. Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Softw. 2014;67: 1–48. doi: 10.18637/jss.v067.i01

51. R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2016.

52. Leyens J, Paladino M, Rodriguez-Torres R, Vaes J, Demoulin S, Rodríguez A, Gaunt R. The emotional side of prejudice: The attribution of secondary emotions to ingroups and outgroups. Personality and Social Psychology Review. 2000;4:186–197.

53. Haslam N, Loughnan S. Dehumanization and infrahumanization. Annual Review of Psychology. 2014;65: 399–423. doi: 10.1146/annurev-psych-010213-115045 23808915

54. Guastella AJ, Einfeld SL, Gray KM, Rinehart NJ, Tonge BJ, Lambert TJ, et al. Intranasal oxytocin improves emotion recognition for youth with autism spectrum disorders. Biol Psychiatry. Elsevier Inc.; 2010;67: 692–694. doi: 10.1016/j.biopsych.2009.09.020 19897177

55. Stone VE, Baron-Cohen S, Calder A, Keane J, Young A. Acquired theory of mind impairments in individuals with bilateral amygdala lesions. Neuropsychologia. 2003;41: 209–220. doi: 10.1016/s0028-3932(02)00151-3 12459219

56. Warrier V, Grasby KL, Uzefovsky F, Toro R, Smith P, Chakrabarti B, et al. Genome-wide meta-analysis of cognitive empathy: Heritability, and correlates with sex, neuropsychiatric conditions and cognition. Mol Psychiatry. Nature Publishing Group; 2018;23: 1402–1409. doi: 10.1038/mp.2017.122 28584286

57. Chapman E, Baron-Cohen S, Auyeung B, Knickmeyer R, Taylor K, Hackett G. Fetal testosterone and empathy: Evidence from the empathy quotient (EQ) and the “Reading the Mind in the Eyes” test. Soc Neurosci. Routledge; 2006;1: 135–148. doi: 10.1080/17470910600992239 18633782

58. van Honk J, Schutter DJ, Bos PA, Kruijt A, Lentjes EG, Baron-Cohen S. Testosterone administration impairs cognitive empathy in women depending on second-to-fourth digit ratio. Proc Natl Acad Sci. 2011;108: 3448–3452. doi: 10.1073/pnas.1011891108 21300863

Black “Reading the Mind in the Eyes” task: The development of a task assessing mentalizing from black faces

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