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The time course of configural change detection for novel 3-D objects

Journal Article


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Abstract


  • The present study investigated the time course of visual information processing that is responsible for successful

    object change detection involving the configuration and shape of 3-D novel object parts. Using a one-shot

    change detection task, we manipulated stimulus and interstimulus mask durations (40–500 msec). Experiments

    1A and 1B showed no change detection advantage for configuration at very short (40-msec) stimulus

    durations, but the configural advantage did emerge with durations between 80 and 160 msec. In Experiment 2,

    we showed that, at shorter stimulus durations, the number of parts changing was the best predictor of change

    detection performance. Finally, in Experiment 3, with a stimulus duration of 160 msec, configuration change

    detection was found to be highly accurate for each of the mask durations tested, suggesting a fast processing

    speed for this kind of change information. However, switch and shape change detection reached peak levels of

    accuracy only when mask durations were increased to 160 and 320 msec, respectively. We conclude that, with

    very short stimulus exposures, successful object change detection depends primarily on quantitative measures

    of change. However, with longer stimulus exposures, the qualitative nature of the change becomes progressively

    more important, resulting in the well-known configural advantage for change detection.

Publication Date


  • 2010

Citation


  • Favelle, S. & Palmisano, S. (2010). The time course of configural change detection for novel 3-D objects. Attention, Perception and Psychophysics, 72 (4), 999-1012.

Scopus Eid


  • 2-s2.0-77955287433

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4489&context=hbspapers

Ro Metadata Url


  • http://ro.uow.edu.au/hbspapers/3437

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 999

End Page


  • 1012

Volume


  • 72

Issue


  • 4

Place Of Publication


  • United States

Abstract


  • The present study investigated the time course of visual information processing that is responsible for successful

    object change detection involving the configuration and shape of 3-D novel object parts. Using a one-shot

    change detection task, we manipulated stimulus and interstimulus mask durations (40–500 msec). Experiments

    1A and 1B showed no change detection advantage for configuration at very short (40-msec) stimulus

    durations, but the configural advantage did emerge with durations between 80 and 160 msec. In Experiment 2,

    we showed that, at shorter stimulus durations, the number of parts changing was the best predictor of change

    detection performance. Finally, in Experiment 3, with a stimulus duration of 160 msec, configuration change

    detection was found to be highly accurate for each of the mask durations tested, suggesting a fast processing

    speed for this kind of change information. However, switch and shape change detection reached peak levels of

    accuracy only when mask durations were increased to 160 and 320 msec, respectively. We conclude that, with

    very short stimulus exposures, successful object change detection depends primarily on quantitative measures

    of change. However, with longer stimulus exposures, the qualitative nature of the change becomes progressively

    more important, resulting in the well-known configural advantage for change detection.

Publication Date


  • 2010

Citation


  • Favelle, S. & Palmisano, S. (2010). The time course of configural change detection for novel 3-D objects. Attention, Perception and Psychophysics, 72 (4), 999-1012.

Scopus Eid


  • 2-s2.0-77955287433

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=4489&context=hbspapers

Ro Metadata Url


  • http://ro.uow.edu.au/hbspapers/3437

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 999

End Page


  • 1012

Volume


  • 72

Issue


  • 4

Place Of Publication


  • United States