Brazilian norms for the Bank of Standardized Stimuli (BOSS)


Autoři: Matheus P. F. Santos aff001;  Francis R. R. Justi aff002;  Luciano G. Buratto aff003;  Bruno S. F. Oliveira aff001;  Antônio Jaeger aff001
Působiště autorů: Department of Psychology, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil aff001;  Department of Psychology, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil aff002;  Institute of Psychology, University of Brasília, Brasília, Federal District, Brazil aff003
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
doi: 10.1371/journal.pone.0224973

Souhrn

Norms for visual stimuli are critical for designing reliable psychological and neuroscientific studies. However, such normative sets of stimuli are scarce for the Brazilian population. Here, we report norms for the Bank of Standardized Stimuli (BOSS) for Brazilian college students. Sixty-five Brazilian university students rated the initial normative set of BOSS images for familiarity and visual complexity, and produced a name for each object. Data analysis focused on comparing the present norms to prior BOSS norms (English-Canadian, French-Canadian, and Thai) across four normative dimensions: familiarity, visual complexity, modal name agreement, and H value, and considered these dimensions according to whether items pertained to living or non-living domains. Correlation analyses revealed that the present norms show strong similarities to prior BOSS norms, although objects were scored as more familiar in the Brazilian relative to all prior norms, especially relative to the Thai norms. In addition, familiarity was greater for living than for non-living items in the English- and French-Canadian norms, but such difference was absent in the Brazilian and Thai norms, suggesting that familiarity is more strongly affected by culture than by semantic domain. In sum, even when cultural differences are considered, the current study reveals that the images of the BOSS data set are in general well known for Brazilians, demonstrating that they can be useful for psychological and neuroscientific research in Brazil.

Klíčová slova:

Brazil – Culture – Emotions – Language – Memory – Vision – Thai people – Blueberries


Zdroje

1. Brodeur MB, O’Sullivan M, Crone L. The impact of image format and normative variables on episodic memory. Cogent Psychol. 2017;4(1): 1–22. doi: 10.1080/23311908.2017.1328869

2. Snodgrass JG, Vanderwart M. A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. J Exp Psychol-Hum L. 1980;6(2): 174–215. doi: 10.1037/0278-7393.6.2.174

3. Cycowicz YM, Friedman D, Rothstein M, Snodgrass JG. Picture naming by young children: norms for name agreement, familiarity, and visual complexity. J Exp Child Psychol. 1997;65(2): 171–237. doi: 10.1006/jecp.1996.2356 9169209

4. Barry C, Morrison CM, Ellis AW. Naming the Snodgrass and Vanderwart pictures: effects of age of acquisition, frequency, and name agreement. Q J Exp Psychol Sect A. 1997;50(3): 560–585. doi: 10.1080/783663595

5. Alario F-X, Ferrand L. A set of 400 pictures standardized for French: norms for name agreement, image agreement, familiarity, visual complexity, image variability, and age of acquisition. Behav Res Methods, Instruments, Comput. 1999;31(3): 531–552. doi: 10.3758/BF03200732 10502875

6. Cuetos F, Ellis AW, Alvarez B. Naming times for the Snodgrass and Vanderwart pictures in Spanish. Behav Res Methods, Instruments, Comput. 1999;31(4): 650–658. doi: 10.3758/BF03200741 10633980

7. Pompéia S, Miranda MC, Bueno OFA. A set of 400 pictures standardised for Portuguese: norms for name agreement, familiarity and visual complexity for children and adults. Arq Neuropsiquiatr. 2001;59(2B): 330–337. doi: 10.1590/S0004-282X2001000300004 11460174

8. Yoon C, Feinberg F, Luo T, Hedden T, Gutchess AH, Chen H-YM, et al. A cross-culturally standardized set of pictures for younger and older adults: American and Chinese norms for name agreement, concept agreement, and familiarity. Behav Res Methods, Instruments, Comput. 2004;36(4): 639–649. doi: 10.3758/BF03206545

9. Brodie EE, Wallace AM, Sharrat B. Effect of Surface Characteristics and Style of Production on Naming and Verification of Pictorial Stimuli. Am J Psychol. 1991;104(4): 517–545. doi: 10.2307/1422939 1793125

10. Tanaka J, Weiskopf D, Williams P. The role of color in high-level vision. Trends Cogn Sci. 2001;5(5): 211–215. doi: 10.1016/S1364-6613(00)01626-0 11323266

11. Lang PJ, Bradley MM, Cuthbert BN. International affective picture system (IAPS): technical manual and affective ratings. Gainesville: NIMH Center for the Study of Emotion and Attention; 1997.

12. Ekman P, Friesen WV. Measuring facial movement. Environ Psychol nonverbal Behav. 1976;1(1):56–75. doi: 10.1007/BF01115465

13. Adlington RL, Laws KR, Gale TM. The Hatfield Image Test (HIT): A new picture test and norms for experimental and clinical use. J Clin Exp Neuropsychol. 2009;31(6): 731–753. doi: 10.1080/13803390802488103 19105074

14. Brodeur MB, Dionne-Dostie E, Montreuil T, Lepage M. The Bank of Standardized Stimuli (BOSS), a new set of 480 normative photos of objects to be used as visual stimuli in cognitive research. PLoS ONE. 2010;5(5): 1–13. doi: 10.1371/journal.pone.0010773

15. Brodeur MB, Guérard K, Bouras M. Bank of Standardized Stimuli (BOSS) Phase II: 930 new normative photos. PLoS ONE. 2014;9(9): 1–10. doi: 10.1371/journal.pone.0106953 25211489

16. Laws KR, Neve C. A ‘normal’ category-specific advantage for naming living things. Neuropsychologia. 1999;37(11): 1263–1269. doi: 10.1016/s0028-3932(99)00018-4 10530726

17. Guérard K, Brodeur MB. Manipulability agreement as a predictor of action initiation latency. Behav Res Methods. 2015;47(2): 572–579. doi: 10.3758/s13428-014-0495-6 24942247

18. Guérard K, Lagacé S, Brodeur MB. Four types of manipulability ratings and naming latencies for a set of 560 photographs of objects. Behav Res Methods. 2015;47(2): 443–470. doi: 10.3758/s13428-014-0488-5 24903695

19. Lagacé S, Downing-Doucet F, Guérard K. Norms for grip agreement for 296 photographs of objects. Behav Res Methods. 2013;45(3): 772–781. doi: 10.3758/s13428-012-0283-0 23239071

20. O’Sullivan M, Lepage M, Bouras M, Montreuil T, Brodeur MB. North-American norms for name disagreement: pictorial stimuli naming discrepancies. PLoS ONE. 2012;7(10): 1–8. doi: 10.1371/journal.pone.0047802 23133526

21. Brodeur MB, Kehayia E, Dion-Lessard G, Chauret M, Montreuil T, Dionne-Dostie E, et al. The Bank of Standardized Stimuli (BOSS): comparison between French and English norms. Behav Res Methods. 2012;44(4): 961–970. doi: 10.3758/s13428-011-0184-7 22351613

22. Ribeiro RL, Pompéia S, Bueno OFA. Brazilian norms for the International Affective Picture System (IAPS): brief report. Rev Psiquiatr do Rio Gd do Sul. 2004;26(2): 190–194. doi: 10.1590/S0101-81082004000200008

23. Lasaitis C, Ribeiro RL, Freire MV, Bueno OFA. Update of the Brazilian norms for the International Affective Picture System (IAPS). Rev Psiquiatr do Rio Gd do Sul. 2008;30(3): 230–235. doi: 10.1590/S0101-81082008000400012

24. Bordignon S, Zibetti MR, Trentini CM, Resende AC, Minervino CASM, Silva-Filho JH da, et al. Semantic association norms for 20 categories in adults and elderly. Psico-USF. 2015;20(1): 97–108. doi: 10.1590/1413-82712015200109

25. Sacco AM, de Paula Couto MCP, Koller SH. Construction and validation of the White, Pardo, and Black Children Picture Set (BIC-Multicolor). Psychol Neurosci. 2016;9(1): 68–78. doi: 10.1037/pne0000040

26. Clarke AJB, Ludington JD. Thai Norms for Name, Image, and Category Agreement, Object Familiarity, Visual Complexity, Manipulability, and Age of Acquisition for 480 Color Photographic Objects. J Psycholinguist Res. 2018;47(3): 607–626. doi: 10.1007/s10936-017-9544-5 29222768

27. Peirce JW. PsychoPy—Psychophysics software in Python. J Neurosci Meth. 2007;162(1–2): 8–13. doi: 10.1016/j.jneumeth.2006.11.017 17254636

28. Schneider W, Eschman A, Zuccolotto A. E-Prime user’s guide. Pittsburgh: Psychology Software Tools; 2002.

29. Proverbio AM, Adorni R, D’Aniello GE. 250 ms to code for action affordance during observation of manipulable objects. Neuropsychologia. 2011;49(9): 2711–2717. doi: 10.1016/j.neuropsychologia.2011.05.019 21664367

30. Bartko JJ. The Intraclass Correlation Coefficient as a Measure of Reliability. Psychol Rep. 1966;19(1): 3–11. doi: 10.2466/pr0.1966.19.1.3 5942109

31. Sanfeliu MC, Fernandez A. A set of 254 Snodgrass-Vanderwart pictures standardized for Spanish: Norms for name agreement, image agreement, familiarity, and visual complexity. Behav Res Methods, Instruments, Comput. 1996;28(4): 537–555. doi: 10.3758/BF03200541

32. Caramazza A, Shelton JR. Domain-Specific Knowledge Systems in the Brain: The Animate-Inanimate Distinction. J Cognitive Neurosci. 1998;10(1): 1–34. doi: 10.1162/089892998563752 9526080

33. Capitani E, Laiacona M, Mahon B, Caramazza A. What are the facts of semantic category-specific deficits? A critical review of the clinical evidence. Cogn Neuropsychol. 2003;20(3–6): 213–261. doi: 10.1080/02643290244000266 20957571


Článek vyšel v časopise

PLOS One


2019 Číslo 11