2004
DOI: 10.1037/0096-3445.133.4.601
|View full text |Cite
|
Sign up to set email alerts
|

Assessing the Causal Structure of Function.

Abstract: Theories typically emphasize affordances or intentions as the primary determinant of an object's perceived function. The HIPE theory assumes that people integrate both into causal models that produce functional attributions. In these models, an object's physical structure and an agent's action specify an affordance jointly, constituting the immediate causes of a perceived function. The object's design history and an agent's goal in using it constitute distant causes. When specified fully, the immediate causes … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

5
67
1
1

Year Published

2006
2006
2017
2017

Publication Types

Select...
4
3
1

Relationship

1
7

Authors

Journals

citations
Cited by 86 publications
(74 citation statements)
references
References 72 publications
(105 reference statements)
5
67
1
1
Order By: Relevance
“…The influence of theory use was demonstrated when participants weighted function-relevant features more heavily than function-irrelevant features (their actions appeared to conform to a rule such as: "If X has Y's function-relevant features, then X is a Y"). Such a rule has been posited to operate across the entire domain of artifacts (see, e.g., Bloom, 1996;Chaigneau, Barsalou, & Sloman, 2004) and thus could have influenced feature weighting relatively automatically. Similarly, Palmeri and Blalock (2000) asked participants to generate explicit classification rules before being tested with new drawings (in contrast to Smith & Sloman, 1994, in which participants presumably generated rules while attempting to perform the categorization).…”
Section: Discussionmentioning
confidence: 99%
“…The influence of theory use was demonstrated when participants weighted function-relevant features more heavily than function-irrelevant features (their actions appeared to conform to a rule such as: "If X has Y's function-relevant features, then X is a Y"). Such a rule has been posited to operate across the entire domain of artifacts (see, e.g., Bloom, 1996;Chaigneau, Barsalou, & Sloman, 2004) and thus could have influenced feature weighting relatively automatically. Similarly, Palmeri and Blalock (2000) asked participants to generate explicit classification rules before being tested with new drawings (in contrast to Smith & Sloman, 1994, in which participants presumably generated rules while attempting to perform the categorization).…”
Section: Discussionmentioning
confidence: 99%
“…For example, although underlying causal properties might be important for complex artifacts (e.g., automobiles, computers), simple artifacts like pencils and wastepaper baskets appear to be defined more in terms of their perceptual and/ or functional properties (Chaigneau, Barsalou, & Sloman, 2004;Malt, 1994;Malt & Johnson, 1992cf. Bloom, 1998;Matan & Carey, 2001;Rips, 1989).…”
Section: Discussionmentioning
confidence: 99%
“…When the prior experiences instead capture the same events within a completed system, the system becomes an important aspect of the internal model and the subsequent explanations reflect that structure. The idea that these sorts of models underlie explanation is not new: Keil (2006) and Chaigneau, Barsalou, and Sloman (2004) have recently proposed similar ideas. However, by using the framework provided by the pragmatic theory, we can be more specific as to when particular information is incorporated and how it shapes the explanatory model that is constructed.…”
Section: Discussionmentioning
confidence: 99%
“…Glymour, 1998) and functional explanations (e.g. Chaigneau, Barsalou, & Sloman, 2004;Lombrozo & Carey, 2006) are warranted. In the current study, we extend this work by asking participants to provide an explanation for an explanandum when either a causal or functional explanation is licensed.…”
mentioning
confidence: 99%
See 1 more Smart Citation