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The utility of different object properties in change detection

Conference Paper


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Abstract


  • Previous research has shown that changes to the configuration

    of an object’s parts are better detected than changes to the

    shape/arrangement of those parts. This finding suggests that

    configural, rather than shape, information plays a critical role

    in object change detection. The current study investigated

    configural and shape changes in greater detail to determine

    what aspects of these two types of object properties, if any,

    were more or less important for change detection. Specifically

    we investigated configural changes in terms of the orientation

    of the part change and shape changes in terms of the nonaccidental

    properties of the part change. Using a one-shot

    change detection task with a single object display, we

    manipulated: (i) the orientation of a configuration change (0º,

    90º or 180º) and (ii) both the number and the type of nonaccidental

    object properties (NAPs) involved in each shape

    change (3 NAPs were manipulated in total: curvature of axis,

    curvature of edges, and constancy of size). We found that

    changes to the curvature of the axis were better detected than

    changes to either the curvature of edges or to the constancy of

    size. Detection accuracy was better when there were more

    NAPs involved in a change. Configural changes involving

    180º were more accurately detected than changes involving

    either 0º or 90º. These results suggest that the axes and basic

    layout of parts is critical information in change detection.

    Implications for theories of object recognition are discussed.

Publication Date


  • 2010

Citation


  • Favelle, S. K. & Palmisano, S. A. (2010). The utility of different object properties in change detection. In W. Christensen, E. Schier & J. Sutton (Eds.), ASCS09: Proceedings of the 9th Conference of the Australasian Society for Cognitive Science (pp. 93-97). Sydney: Macquarie Centre for Cognitive Science.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3354&context=hbspapers

Ro Metadata Url


  • http://ro.uow.edu.au/hbspapers/2301

Start Page


  • 93

End Page


  • 97

Place Of Publication


  • Sydney

Abstract


  • Previous research has shown that changes to the configuration

    of an object’s parts are better detected than changes to the

    shape/arrangement of those parts. This finding suggests that

    configural, rather than shape, information plays a critical role

    in object change detection. The current study investigated

    configural and shape changes in greater detail to determine

    what aspects of these two types of object properties, if any,

    were more or less important for change detection. Specifically

    we investigated configural changes in terms of the orientation

    of the part change and shape changes in terms of the nonaccidental

    properties of the part change. Using a one-shot

    change detection task with a single object display, we

    manipulated: (i) the orientation of a configuration change (0º,

    90º or 180º) and (ii) both the number and the type of nonaccidental

    object properties (NAPs) involved in each shape

    change (3 NAPs were manipulated in total: curvature of axis,

    curvature of edges, and constancy of size). We found that

    changes to the curvature of the axis were better detected than

    changes to either the curvature of edges or to the constancy of

    size. Detection accuracy was better when there were more

    NAPs involved in a change. Configural changes involving

    180º were more accurately detected than changes involving

    either 0º or 90º. These results suggest that the axes and basic

    layout of parts is critical information in change detection.

    Implications for theories of object recognition are discussed.

Publication Date


  • 2010

Citation


  • Favelle, S. K. & Palmisano, S. A. (2010). The utility of different object properties in change detection. In W. Christensen, E. Schier & J. Sutton (Eds.), ASCS09: Proceedings of the 9th Conference of the Australasian Society for Cognitive Science (pp. 93-97). Sydney: Macquarie Centre for Cognitive Science.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3354&context=hbspapers

Ro Metadata Url


  • http://ro.uow.edu.au/hbspapers/2301

Start Page


  • 93

End Page


  • 97

Place Of Publication


  • Sydney