1. Features and Object in Visual Processing

2. The Waterfall Illusion

4. The Visual World is an Arrangement of Features Color Motion Form Depth Orientation

5. Pre-attentive vs. Attentive Processing Pre-attentive processing –Does the visual system register some basic features automatically (without attention) –if so, what features? –How would you know?

6. Pre-attentive vs. Attentive Processing Indicators of Pre-attentive processing –1. processing precedes orienting - if you shift your attention to something or someplace because of some processing you did on the information there, you must have done that processing without attending

7. Pre-attentive vs. Attentive Processing Indicators of Pre-attentive processing –2. processing done in parallel - if you can process features of several objects simultaneously, you must have done that processing without attention

8. Parts vs. Wholes –We see wholes, but the visual system initially sees parts (i.e. features) of objects

9. Parts vs. Wholes For example:

10. Parts vs. Wholes Simple features form boundaries

11. Parts vs. Wholes Conjunctions don’t form boundaries

12. “Early parsing of the visual field is mediated by separate properties, not by particular combinations of properties”

13. What does Treisman conclude from this observation? “Analysis of properties and parts precedes their synthesis” What is the “strong prediction” Treisman makes?

14. Illusory Conjunctions “errors of synthesis”

15. Illusory Conjunctions Identify the letter on the left of the screen and the digit on the right

16. Illusory Conjunctions Q 4

17. What colored shapes did you see?

18. Illusory Conjunctions Illusory conjunction - when perceived combination of attributes was not present

19. Illusory Conjunctions Illusory conjunction - when perceived combination of attributes was not present Supports notion that primitive features are processed independently and then bound together to form objects

20. What’s another way to investigate pre-attentive feature processing?

21. Visual Search: finding a single item in a cluttered visual scene

22. Visual Search Visual Search: finding a single item in a cluttered visual scene

23. Visual Search Is there a green square?

24. Visual Search Is there a green square?

25. Visual Search Parallel search: like many independent spotlights

26. Visual Search Serial search: each item is selected until target is found

27. Visual Search Serial search: each item is selected until target is found

28. Visual Search Serial search: each item is selected until target is found

29. Visual Search Serial search: each item is selected until target is found

30. Visual Search How could you test which kind of search was happening?

31. Visual Search Search Slope: How long per item?

32. Visual Search Search Slope: How long per item?

33. Visual Search Search Slope: How long per item?

34. Visual Search Parallel search - search time is independent of distracter number

35. Visual Search Search slope for color singletons is flat. What does this tell us about color and attention?

36. Visual Search Search slope for shape singletons is flat. What does this tell us about shape and attention?

37. Visual Search Conjunction search: NOT FLAT!

38. Visual Search Serial Search - linear increase in search time with number of distractors

39. Visual Search Search Slopes can be flat for targets defined by: –color –orientation –curvature –motion –depth What does this imply about these features ?

40. Visual Search But there are some caveats: –What is a search asymmetry?

41. Search Asymmetry

43. But it’s the same discrimination…gaps vs. non-gaps !? What model does Treisman propose to explain search asymmetry along with other aspects of visual search?

44. Feature Integration Theory Early visual system parses scene into features represented in “feature maps” “Attention Spotlight” can be moved across an overlay of these feature maps to bind features together

45. Feature Integration Theory What term does Treisman use to describe the bundle of features at a specific location?

46. Feature Integration Theory Object Files are mental (neural?) representations of the features associated with an object –whenever an object is selected by attention its features are bound and an object file is opened –when the features of that object change, the object file is updated

47. Feature Integration Theory How did Treisman et al. test whether the visual system uses object files?

48. Feature Integration Theory Priming: observers are faster to respond to something they’ve just seen

49. Feature Integration Theory +

50. + G N

51. +

52. +

53. + G

54. What Letter?

55. Feature Integration Theory What was the result?

56. Feature Integration Theory What was the result? –Naming was faster if the prime occurred in the same box, even though the object had moved

57. Feature Integration Theory What was the result? –Naming was faster if the prime occurred in the same box, even though the object had moved Interpretation?

58. Feature Integration Theory What was the result? –Naming was faster if the prime occurred in the same box, even though the object had moved Interpretation? –visual system establishes object files (e.g. a box with a G in it) and updates them as the location and features of the object change

59. Next Time: Orienting Attention