Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Knowledge structures and linear separability: integrating information in object and social categorization

W D Wattenmaker1

  • 1University of Pittsburgh, USA.

Cognitive Psychology
|June 1, 1995
PubMed
Summary

Category structures feel more natural in social domains than object domains. This suggests knowledge structures differ across domains, impacting how we categorize information.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Domains and knowledge effects: strategies in object and social classification.

The American journal of psychology·2000
Same author

The influence of prior knowledge in intentional versus incidental concept learning.

Memory & cognition·1999
Same author

Analogical versus rule-based classification.

Memory & cognition·1995
Same author

Incidental concept learning, feature frequency, and correlated properties.

Journal of experimental psychology. Learning, memory, and cognition·1993
Same author

Relational properties and memory-based category construction.

Journal of experimental psychology. Learning, memory, and cognition·1992
Same author

Learning modes, feature correlations, and memory-based categorization.

Journal of experimental psychology. Learning, memory, and cognition·1991

Area of Science:

  • Cognitive Psychology
  • Social Cognition
  • Categorization Research

Background:

  • Investigates the naturalness of abstract category structures across different content domains.
  • Examines how linear separability constrains categorization in object versus social contexts.

Purpose of the Study:

  • To determine if abstract category structures vary in naturalness depending on the content domain (objects vs. social).
  • To compare the constraints imposed by linear separability on categorization across these domains.

Main Methods:

  • Employed sorting and learning tasks with diverse stimulus materials.
  • Analyzed participant behavior to assess the likelihood of forming linearly separable (LS) categories.
  • Compared categorization strategies and learning efficiency between object and social domains.

Related Experiment Videos

Main Results:

  • Linearly separable (LS) structures were more compatible with social materials than object materials.
  • Participants more readily formed LS categories using social information, particularly in sorting tasks.
  • LS structures were easier to learn with social stimuli, while nonlinearly separable structures were easier for object stimuli.

Conclusions:

  • The structure of knowledge differs significantly between object and social domains.
  • Domain-specific knowledge and integration strategies influence categorization.
  • Abstract properties like linear separability may not provide domain-general constraints for categorization.