Task and Object Learning in Visual Recognition

Human performance in object recognition changes with practice, even in the absence of feedback to the subject. The nature of the change can reveal important properties of the process of recognition. We report an experiment designed to distinguish between non-specific task learning and object-...

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Bibliographic Details
Main Authors: Edelman, Shimon, Heinrich Bulthoff, Sklar, Erik
Language:en_US
Published: 2004
Subjects:
Online Access:http://hdl.handle.net/1721.1/5965
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author Edelman, Shimon
Heinrich Bulthoff,
Sklar, Erik
author_facet Edelman, Shimon
Heinrich Bulthoff,
Sklar, Erik
author_sort Edelman, Shimon
collection MIT
description Human performance in object recognition changes with practice, even in the absence of feedback to the subject. The nature of the change can reveal important properties of the process of recognition. We report an experiment designed to distinguish between non-specific task learning and object- specific practice effects. The results of the experiment support the notion that learning through modification of object representations can be separated from less interesting effects of practice, if appropriate response measures (specifically, the coefficient of variation of response time over views of an object) are used. Furthermore, the results, obtained with computer-generated amoeba-like objects, corroborate previous findings regarding the development of canonical views and related phenomena with practice.
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spelling mit-1721.1/59652019-04-10T16:54:40Z Task and Object Learning in Visual Recognition Edelman, Shimon Heinrich Bulthoff, Sklar, Erik visual recognition learning Human performance in object recognition changes with practice, even in the absence of feedback to the subject. The nature of the change can reveal important properties of the process of recognition. We report an experiment designed to distinguish between non-specific task learning and object- specific practice effects. The results of the experiment support the notion that learning through modification of object representations can be separated from less interesting effects of practice, if appropriate response measures (specifically, the coefficient of variation of response time over views of an object) are used. Furthermore, the results, obtained with computer-generated amoeba-like objects, corroborate previous findings regarding the development of canonical views and related phenomena with practice. 2004-10-04T14:24:17Z 2004-10-04T14:24:17Z 1991-01-01 AIM-1348 http://hdl.handle.net/1721.1/5965 en_US AIM-1348 12 p. 1470704 bytes 1148589 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle visual recognition
learning
Edelman, Shimon
Heinrich Bulthoff,
Sklar, Erik
Task and Object Learning in Visual Recognition
title Task and Object Learning in Visual Recognition
title_full Task and Object Learning in Visual Recognition
title_fullStr Task and Object Learning in Visual Recognition
title_full_unstemmed Task and Object Learning in Visual Recognition
title_short Task and Object Learning in Visual Recognition
title_sort task and object learning in visual recognition
topic visual recognition
learning
url http://hdl.handle.net/1721.1/5965
work_keys_str_mv AT edelmanshimon taskandobjectlearninginvisualrecognition
AT heinrichbulthoff taskandobjectlearninginvisualrecognition
AT sklarerik taskandobjectlearninginvisualrecognition