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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 352341.0, MPI für biologische Kybernetik / Biologische Kybernetik
Inducing Metric Violations in Human Similarity Judgements
Authors:Laub, J.; Macke, J.H.; Müller, K.-R.; Wichmann, F.A.
Date of Publication (YYYY-MM-DD):2007-09
Title of Proceedings:Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference
Start Page:777
End Page:784
Physical Description:8
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:Attempting to model human categorization and similarity judgements is both a
very interesting but also an exceedingly difficult challenge. Some of the difficulty
arises because of conflicting evidence whether human categorization and
similarity judgements should or should not be modelled as to operate on a mental
representation that is essentially metric. Intuitively, this has a strong appeal as it
would allow (dis)similarity to be represented geometrically as distance in some
internal space. Here we show how a single stimulus, carefully constructed in a
psychophysical experiment, introduces l2 violations in what used to be an internal
similarity space that could be adequately modelled as Euclidean. We term this one
influential data point a conflictual judgement. We present an algorithm of how to
analyse such data and how to identify the crucial point. Thus there may not be a
strict dichotomy between either a metric or a non-metric internal space but rather
degrees to which potentially large subsets of stimuli are represented metrically
with a small subset causing a global violation of metricity.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:4266
URL:http://books.nips.cc/papers/files/nips19/NIPS2006_...
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