LOGO Current Approaches to Change Blindness Professor: Liu Student: Ruby.

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Presentation transcript:

LOGO Current Approaches to Change Blindness Professor: Liu Student: Ruby

LOGO Objective  This paper reviewed recent studies of change blindness, noting the relation of these findings to earlier research and discussing the inferences we can draw from them.

LOGO References  Grimes (1996) showed subjects photographs of natural scenes for a later memory test. While they were studying an image, scanning from one object to another, details of the scene were changed during a saccade. Subjects often missed surprisingly large changes (e.g. two people exchanging heads).  This finding was consistent with earlier work on the failure to integrate information across saccades (e.g. Henderson, 1997; Irwin, 1991; Rayner & Pollatsek, 1983), but in some ways was a more striking demonstration because the changes were so clearly visible to subjects when the change occurred during a fixation.

LOGO References  Several labs have shown that change blindness for objects in natural scenes can occur during a fixation if the effects of a saccade are simulated by disrupting the retinal transient normally accompanying a change.  Change blindness can occur when a blank screen is inserted between the original and changed image. (e.g. Blackmore, Brelstaff, Nelson, & Troscianko, 1995; French, 1953; Gur&Hilgard, 1975; Pashler, 1988; Rensink, O’Regan, & Clark, 1997; Simons, 1996)

LOGO References  People also show change blindness when the original and altered image are separated by a mudsplash (O’Regan, Rensink, & Clark, 1999), by a cut or pan in a motion picture (Hochberg, 1986; Levin & Simons, 1997; Simons, 1996), and even by a real-world disruption. (Simons & Levin, 1998).  Recent studies build on early work on change detection (French, 1953; Friedman, 1979; McConkie & Zola, 1979; Pashler, 1988; Phillips, 1974) by examining the role of attention in change detection successes and failures. (Simons & Levin, 1997)

LOGO Change Detection Paradigms  Two most frequently used are the “Flicker” paradigm (Rensink et al., 1997) and the “Forced Choice Detection” paradigm. (Pashler, 1988; Phillips, 1974; Simons, 1996)

LOGO Change Detection Paradigms  Flicker paradigm  Research using flicker paradigm has produced two primary findings: Subjects rarely detect changes during the first cycle of alternation, and some changes are not detected even after nearly 1 minute of alternation (Rensink et al., 1997) Changes to objects in the “centre of interest” of a scene are detected more readily than peripheral or “marginal interest” changes (Rensink et al., 1997), suggesting that attention is focused on central objects either more rapidly or more often, thereby allowing faster change detection.

LOGO  In the forced choice detection paradigm, subjects only receive one view of each scene before responding, so the total duration of exposure to the initial scene can be controlled more precisely. Change Detection Paradigms

LOGO  Other change detection studies examine detection performance under divided attention conditions.  Grimes’ (1996) study were aware that changes might occur and were asked to report the changes when they happened, but their primary task was to study the images for a later recognition task.  Or with completely incidental encoding—subjects view the display without knowing that it might change. (Mack&Rock, 1998)  Many of studies use motion picture or real-world methodologies, allowing richer insights into the sorts of representations people nature form under natural viewing conditions. (Simons& Levin, 1997) Change Detection Paradigms

LOGO  Findings for marginal interest objects in scenes and motion pictures, together with evidence from the flicker paradigm that changes to central objects are detected more readily.  Lead to the conclusion that attention is necessary for change detection. The details of an object will only be retained if attention is focused on the changing feature.  Because observers are more likely to focus attention on important objects, they are more likely to notice changes to objects in the centre of interest of a scene. Change Detection Paradigms

LOGO Summary  Studies of iconic memory showed that the details of a scene are at least briefly available in a perceptual representation. (Sperling, 1960)  These findings increased the possibility that visual system might integrate such icons or images from consecutive views to form a detailed, coherent representation.

LOGO Summary  By using different methods (saccades, flashed blank screens, mudsplashes, movie cuts, etc.) to obtain the motion transient caused by the change.  These studies show that visual details, even these for naturalistic displays, are not preserved following a disruption to the local transient.  The inability to detect changes to such images suggests that detailed visual representations do not provide the basis for integration across views, even for complex, naturalistic stimuli.

LOGO Explanations For Change Blindness  Most studies of change detection have been interested in the types of changes observers fail to notice rather than in the changes they do notice.  The emphasis on “change blindness” rather than “change detection”.  Successful change detection require either a motion transient signaling the change or the representation of the feature that changed.

LOGO  Subjects lack a representation of the changed object seems to follow from the usual assumption that change blindness occurs when a new display replaces, or overwrites the initial display.  subjects lack detailed representations could be supported by additional empirical evidence.  The existence of preserved implicit representations without conscious awareness. (Schacter, 1987). Explanations For Change Blindness

LOGO  Such findings represent a clear challenge to the overriding interpretation of change blindness, that the initial representation is overwritten by the new percept.  In fact, a number of different explanations for change blindness are possible. Explanations For Change Blindness

LOGO Overwriting  The initial representation is simply overwritten or replaced by the blank interval or by the subsequent image.  Overwriting models have been used to explain visual masking (Kahneman, 1968) as well as poor recognition of scenes from RSVP streams. (Intraub, 1980, 1981; Potter, 1976; Potter & Levy, 1969)  Successful change detection occurs only for attended objects, and it may be limited to a comparison of abstracted information rather than of visual representations.

LOGO First impressions  Subjects accurately encode the features of the initial object or scene and then fail to encode the details of the changed scene (which is often the current percept).  One primary goal of perception is to understand the meaning and importance of our surroundings.  We can achieve this goal rapidly (Biederman, Rabinowitz, Glass, & Stacy, 1974; Intraub, 1980, 1981; Potter, 1976; Potter& Levy, 1969) —it is likely to be one of the first things we do upon suffer a new scene.  We may not check the features of the changed scene provided that the meaning is constant (DiGirolamo & Hintzman, 1997).

LOGO First impressions  Several suggestions from prior work at least partially support this conclusion.  Subjects who failed to detect a change to the central object in a motion picture sometimes described the features of the object in the initial view rather than in the changed view (Levin & Simons, 1997; Simons, 1996).  In running studies, about 70% of observers who fail to detect the change nevertheless select the properties of the initial actor when asked which features they had seen. (Simons, Chabris, & Levin, 1999)

LOGO Nothing is stored  Only information that has been abstracted from the percept will be retained once the image or scene is gone.  Suggest that the disruption between views is needed only to eliminate the motion signal produced by the change.  These models accept the notion that some information must be preserved to allow successful action in an environment, but they stop short of positing detailed representation of visual features.

LOGO  Research on thinking and reasoning shows that people can firmly hold two beliefs without realizing that they are fundamentally contradictory.  However, they often will not spontaneously detect the inconsistency unless attention is drawn to it (Brewer & Samarapungavan, 1991)  People may form a representation of each view separately without ever becoming cognizant of the differences between the representations. Everything is stored but nothing is compared

LOGO Everything is stored but nothing is compared  An implicit trace from a feature or object can be preserved, even when observers do not consciously perceive it. (Shapiro et al., 1997)  A stronger form of this model would suggest that subjects have representations of both the initial and changed object, and that both representations are accessible to conscious awareness.

LOGO  Only three of the subjects spontaneously reported noticing the disappearance of the basketball when asked if they had noticed anything unusual, or anything changing, or anything different about the appearance of the experimenter.  These subjects were initially blind to the change, but, when cued, they could recall the initial appearance of the person and could accurately describe the atypical features of the ball. Everything is stored but nothing is compared

LOGO Feature combination  The two views need not be literally superimposed to form a single representation.  Subjects are unable to keep the two views separate, and limit representations of each are combined to form a new, “coherent” representation of the scene.  This model will not work if the features to be combined suggest a contradictory point, the combined features must make sense as a whole and must be consistent with the gist of the initial images.