Therole of semantic interference in limiting memory for the details of visual scenes

Frontiers in Psychology

Volumn 2, Issue OCT, 2011, Pages

  Melcher, David ^a   Murphy, Brian ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

Scene perception; Visual memory; Working memory

Indexed keywords

EID: 84867067301     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2011.00262     Document Type: Article

References (38)

1. Bar, M. (2004). Visual objects in context. Nat. Rev. Neurosci. 5, 617-629.
2. Baroni, M., Murphy, B., Barbu, E., and Poesio, M. (2010). Strudel: a corpusbased semantic model based on properties and types. Cogn. Sci. 34, 222-254.
3. Brady, T. F., Konkle, T., Alvarez, G. A., and Oliva, A. (2008). Visual long-term memory has a massive storage capacity for object details. Proc. Natl. Acad. Sci. U.S.A. 105, 14325-14329.
4. Caramazza, A. (1998). The interpretation of semantic categoryspecific deficits: what do they reveal about the organization of conceptual knowledge in the brain? Neuro-case, 4, 265-272.
5. Deselaers, T., Keysers, D., and Ney, H. (2008). Features for image retrieval: an experimental comparison. Inf. Retr. Boston 11, 77-107.
6. Forsythe, A., Mulhern, G., and Sawey, M. (2008). Confounds in pictorial sets: the role of complexity and familiarity in basic-level picture processing. Behav. Res. Methods 40, 116-129.
7. Gabrieli, J. D., Poldrack, R. A., and Desmond, J. E. (1998). The role of left prefrontal cortex in language and memory. Proc. Natl. Acad. Sci. U.S.A. 95, 906-913.
8. Hayhoe, M. M., Bensinger, D. G., and Ballard, D. H. (1998). Task constraints in visual working memory. Vision Res. 38, 125-137.
9. Hollingworth, A. (2004). Constructing visual representations of natural scenes: the roles of shortand long-term visual memory. J. Exp. Psychol. Hum. Percept. Perform. 30, 519-537.
10. Hollingworth, A. (2005). The relationship between online visual representation of a scene and long-term scene memory. J. Exp. Psychol. Learn. Mem. Cogn. 31, 396-411.
11. Hutchison, K. A. (2003). Is semantic priming due to association strength or feature overlap? A microanalytic review. Psychon. Bull. Rev. 10, 785-813.
12. Kittur, A., Chi, E., and Suh, B. (2008). "Crowdsourcing user studies with Mechanical Turk," in CHI 2007: Pro-ceedings of the ACM Conference on Human-factors in Computing Sys-tems (New York, NY: ACM Press). 453-456.
13. Konkle, T., Brady, T. F., Alvarez, G. A., and Oliva, A. (2010a). Scene memory is more detailed than you think: the role of scene categories in visual long-term memory. Psychol. Sci. 21, 1551-1556.
14. Konkle, T., Brady, T. F., Alvarez, G. A., and Oliva, A. (2010b). Conceptual distinctiveness supports detailed visual long-term memory. J. Exp. Psychol. Gen. 139, 558-758.
15. Lee, S. W., Bülthoff, H. H., Poggio, T. (eds). (2000). "Biologically motivated computer vision," in Pro-ceedings of the First IEEE Interna-tional Workshop, BMVC 2000, Seoul, Korea, May 15-17, 2000 (Oxford: Springer).
16. Magnussen, S. (2000). Low-level memory processes in vision. Trends Neu-rosci. 23, 247-251.
17. Melcher, D. (2001). Persistence of visual memory for scenes. Nature 412, 401.
18. Melcher, D. (2006). Accumulation and persistence of memory for natural scenes. J. Vis. 6, 8-17.
19. Melcher, D. (2010). Accumulating and remembering the details of neutral and emotional scenes. Perception 39, 1011-1025.
20. Miller, M. B., and Gazzaniga, M. S. (1998). Creating false memories for visual scenes. Neuropsychologia 36, 513-520.
21. Oliva, A., and Torralba, A. (2007). The role of context in object recognition. Trends Cogn. Sci. (Regul. Ed.) 11, 520-527.
22. Pertzov, Y., Avidan, G., and Zohary, E. (2009). Accumulation of visual information across multiple fixations. J. Vis. 9, 2 1-12.
23. Rorissa, A., Clough, P., and Deselaers, T. (2008). Exploring the relationship between feature and perceptual visual spaces. J. Am. Soc. Inform. Sci. Tech. 59, 770-784.
24. Schacter, D. L. (1996). Illusory memories: a cognitive neuroscience analysis. Proc. Natl. Acad. Sci. U.S.A. 93, 13527-13533.
25. Schacter, D. L., Norman, K. A., and Koutstaal, W. (1998). The cognitive neuroscience of constructive memory. Annu. Rev. Psychol.49, 289-318.
26. Shepard, R. N. (1967). Recognition memory for words, sentences and pictures. J. Verbal Learn. Verbal Behav. 6, 156-163.
27. Snow, R., O'Connor, B., Jurafsky, D., and Ng, A. (2008). "Cheap and fast -but is it good? Evaluating non-expert annotations for natural language tasks," in Proceed-ings of the Conference on Empir-ical Methods in Natural Language Processing (Honolulu, HI: Association for Computational Linguistics), 254-256.
28. Sorokin, A., and Forsyth, D. (2008). "Utility data annotation with Amazon Mechanical Turk," in Pro-ceedings of the IEEE Computer Society Conference on Computer Vision and Pattern RecognitionWork-shops IEEE, Anchorage, Alaska, 1-8.
29. Standing, L. (1973). Learning 10, 000 pictures. Q. J. Exp. Psychol. 25, 207-222.
30. Tatler, B. W. (2001). Characterising the visual buffer: real-world evidence for overwriting early in each fixation. Perception 30, 993-1006.
31. Tatler, B. W., Gilchrist, I. D., and Rusted, J. (2003). The time course of abstract visual representation. Perception 32, 579-592.
32. Tatler, B. W., and Land, M. F. (2011). Vision and the representation of the surroundings in spatial memory. Philos. Trans. R. Soc. Lond. B Biol. Sci. 366, 596-610.
33. Tatler, B. W., and Melcher, D. (2007). Pictures in mind: initial encoding of object properties varies with the realism of the scene stimulus. Per-ception 36, 1715-1729.
34. Triesch, J., Ballard, D. H., Hayhoe, M. M., and Sullivan, B. T. (2003). What you see is what you need. J. Vis. 3, 86-94.
35. Vo, M. L.-H., and Schneider, W. X. (2010). A glimpse is not a glimpse: differential processing of flashed scene previews leads to differential target search benefits. Vis. Cogn. 18, 171-200.
36. Vogt, S., and Magnussen, S. (2007). Long-term memory for 400 pictures on a common theme. Exp. Psychol. 54, 298-303.
37. Warrington, E. K., and Shallice, T. (1984). Category-specific semantic impairments. Brain 107, 829-854.
38. Zelinsky, G. J., and Loschky, L. C. (2005). Eye movements serialize memory for objects in scenes. Percept. Psy-chophys. 67, 676-690.