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

Assessing the causal structure of function.

Sergio E Chaigneau1, Lawrence W Barsalou, Steven A Sloman

  • 1Department of Psychology, University of Tarapaca, Arica, Chile. schaigne@uta.cl

Journal of Experimental Psychology. General
|December 9, 2004
PubMed
Summary
This summary is machine-generated.

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

A comparison of methods to elicit causal structure.

Frontiers in cognition·2026
Same author

Computational Models of Causal Reasoning: Bayesian Accounts of Normative Violations.

Cognitive science·2026
Same author

From hope and action to giving up: Students' stories of coping with climate change.

Applied psychology. Health and well-being·2026
Same author

You cannot just count: A statistical rethinking of semantic richness in free-generation tasks and semantic norms.

Psychological methods·2026
Same author

Developing and evaluating a situated psychometric instrument for assessing climate anxiety: The SAM<sup>2</sup> CAM.

Applied psychology. Health and well-being·2026
Same author

Developing and Evaluating the Comprehensive Hierarchical Eustress Review (CHER).

Journal of happiness studies·2026
Same journal

Executive function and social behavior: Causal evidence from loading working memory and inhibitory control.

Journal of experimental psychology. General·2026
Same journal

Correction to "Your research is public engagement: A case for more intentional science communication in research with human subjects" by Vaughn (2026).

Journal of experimental psychology. General·2026
Same journal

Correction to "Costs and benefits of acting extraverted: A randomized controlled trial" by Jacques-Hamilton et al. (2019).

Journal of experimental psychology. General·2026
Same journal

Conveying (discrete) emotionality with novel words.

Journal of experimental psychology. General·2026
Same journal

Physical actions shape moral choices: Environment-directed movements reduce cheating in young children.

Journal of experimental psychology. General·2026
Same journal

From chunks to schemas: Learning in the Hebb repetition paradigm.

Journal of experimental psychology. General·2026
See all related articles

People integrate object affordances and agent intentions to determine perceived function. The HIPE theory explains how immediate causes (structure, action) and distant causes (history, goals) shape these functional attributions.

Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Philosophy of Mind

Background:

  • Traditional theories focus on affordances or intentions for object function.
  • A gap exists in understanding how these factors are integrated.
  • Causal models offer a framework for functional attribution.

Purpose of the Study:

  • To propose and test the HIPE (How Intentions and Physicality Explain) theory.
  • To investigate the integration of affordances and intentions in functional attribution.
  • To elucidate the roles of immediate and distant causes in perceived function.

Main Methods:

  • Developed the HIPE theory, positing causal models for functional attribution.
  • Designed seven experiments to test HIPE's predictions.

Related Experiment Videos

  • Manipulated factors related to object structure, agent action, design history, and goals.
  • Main Results:

    • Supported the causal proximity principle: immediate causes (structure, action) were sufficient for function when clear.
    • Supported the causal updating principle: distant causes (history, goals) influenced function when immediate causes were ambiguous.
    • Demonstrated that both affordances and intentions are integrated into causal models.

    Conclusions:

    • The HIPE theory provides a comprehensive account of perceived object function.
    • Functional attributions result from integrating immediate and distant causal information.
    • Understanding causal proximity and updating is key to explaining how people perceive object function.