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Steven A Sloman

Publications and source records attributed to Steven A Sloman.

9 recordsLinked to original sources

Category essence or essentially pragmatic? Creator's intention in naming and what's really what.

Daily experience is filled with objects that have been created by humans to serve specific purposes. For such objects, the very act of creation may be a key element of how people understand them. But exactly how does creator's intention matter? We evaluated its contribution to two forms of categorization: the name selected for an artifact, and intuitions about what an artifact "really" is. To contrast the possibility that intention serves as an essence (Bloom, P. (1996). Intention, history, and artifact concepts. Cognition, 60, 1-29; Bloom, P. (1998). Theories of artifact categorization. Cognition, 66, 87-93.) determining an artifact's name with the possibility that it matters through its relevance to discourse goals, participants in three experiments read scenarios about people interacting with an artifact and then judged the suitability of different names for it. The intention of the creator was of differing degrees of relevance to the communication, and the relevance of other aspects of the entity varied in a complementary fashion. We found that name selection was altered by the communicative goals of a situation, and name choice was most consistent with creator's intention when the situation made intention relevant to achieving those goals. In a fourth experiment, we used the same scenarios to test the possibility that intention serves as an essence determining intuitions about what an object "really" is. The impact of creator's intention was modulated by the discourse context. These findings suggest that creator's intention influences both name choice and intuitions about what something "really" is by virtue of its impact on how communicative goals are best realized.

Humans↗

The causal psycho-logic of choice.

Choices do not merely identify one option among a set of possibilities; choosing is an intervention, an action that changes the world. As a result, good decision making generally requires a model specifying how actions are causally related to outcomes. Interventions license different inferences than observations because an event whose state has been determined by intervention is not diagnostic of the normal causes of that event. We integrate these ideas into a causal framework for decision making based on causal Bayes nets theory, and suggest that deliberate decision making is based on simplified causal models and imaginary interventions. The framework is consistent with what we know so far about how people make decisions.

Bayes Theorem↗

The probability of causal conditionals.

Conditionals in natural language are central to reasoning and decision making. A theoretical proposal called the Ramsey test implies the conditional probability hypothesis: that the subjective probability of a natural language conditional, P(if p then q), is the conditional subjective probability, P(q/p). We report three experiments on causal indicative conditionals and related counterfactuals that support this hypothesis. We measured the probabilities people assigned to truth table cases, P(pq), P(p notq), P( notpq) and P( notp notq). From these ratings, we computed three independent predictors, P(p), P(q/p) and P(q/ notp), that we then entered into a regression equation with judged P(if p then q) as the dependent variable. In line with the conditional probability hypothesis, P(q/p) was by far the strongest predictor in our experiments. This result is inconsistent with the claim that causal conditionals are the material conditionals of elementary logic. Instead, it supports the Ramsey test hypothesis, implying that common processes underlie the use of conditionals in reasoning and judgments of conditional probability in decision making.

Analysis of Variance↗

Time as a guide to cause.

How do people learn causal structure? In 2 studies, the authors investigated the interplay between temporal-order, intervention, and covariational cues. In Study 1, temporal order overrode covariation information, leading to spurious causal inferences when the temporal cues were misleading. In Study 2, both temporal order and intervention contributed to accurate causal inference well beyond that achievable through covariational data alone. Together, the studies show that people use both temporal-order and interventional cues to infer causal structure and that these cues dominate the available statistical information. A hypothesis-driven account of learning is endorsed, whereby people use cues such as temporal order to generate initial models and then test these models against the incoming covariational data.

Computers↗

Assessing the causal structure of function.

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 are sufficient for determining the perceived function--distant causes have no effect (the causal proximity principle). When the immediate causes are ambiguous or unknown, distant causes produce inferences about the immediate causes, thereby affecting functional attributions indirectly (the causal updating principle). Seven experiments supported HIPE's predictions.

Adult↗

Causal models frame interpretation of mathematical equations.

We offer evidence that people can construe mathematical relations as causal. The studies show that people can select the causal versions of equations and that their selections predict both what they consider most understandable and how they expect variables to influence one another. When asked to write down equations, people have a strong preference for the version that matches their causal model. Causal models serve to structure equations by determining the preferred order of variables: Causes should be on one side of an equality, and a single effect should appear on the other.

Humans↗

Conversation and convention: enduring influences on name choice for common objects.

The name chosen for an object is influenced by both short-term history (e.g., speaker-addressee pacts) and long-term history (e.g., the language's naming pattern for the domain). But these influences must somehow be linked. We propose that names adopted through speaker-addressee collaboration have influences that carry beyond the original context. To test this hypothesis, we adapted the standard referential communication task. The first director of each matching session was a confederate who introduced one of two possible names for each object. The director role then rotated to naive participants. The participants later rated name preference for the introduced and alternative names for each object. They also rated object typicality or similarity to each named category. The name that was initially introduced influenced later name use and preference, even for participants who had not heard the name from the original director. Typicality and similarity showed lesser effects from the names originally introduced. Name associations built in one context appear to influence retrieval and use of names in other contexts, but they have reduced impact on nonlinguistic object knowledge. These results support the notion that stable conventions for object names within a linguistic community may arise from local interactions, and they demonstrate how different populations of speakers may come to have a shared understanding of objects' nonlinguistic properties but different naming patterns.

Choice Behavior↗

Motion events in language and cognition.

This study investigated whether different lexicalization patterns of motion events in English and Spanish predict how speakers of these languages perform in non-linguistic tasks. Using 36 motion events, we compared English and Spanish speakers' linguistic descriptions to their performance on two non-linguistic tasks: recognition memory and similarity judgments. We investigated the effect of language processing on non-linguistic performance by varying the nature of the encoding before testing for recognition and similarity. Participants encoded the events while describing them verbally or not. No effect of language was obtained in the recognition memory task after either linguistic or non-linguistic encoding and in the similarity task after non-linguistic encoding. We did find a linguistic effect in the similarity task after verbal encoding, an effect that conformed to language-specific patterns. Linguistic descriptions directed attention to certain aspects of the events later used to make a non-linguistic judgment. This suggests that linguistic and non-linguistic performance are dissociable, but language-specific regularities made available in the experimental context may mediate the speaker's performance in specific tasks.

Adult↗

Recent exposure affects artifact naming.

Deciding how to label an object depends both on beliefs about the culturally appropriate name and on memory. A label should be consistent with a language community's norms, but those norms can be used only if they can be retrieved. Two experiments are reported in which we tested the hypothesis that immediate prior exposure to familiar objects and their names affects how an ambiguous target object is named. Exposure to a typical instance of one name category was pitted against exposure to one or two instances from a contrasting category. When the contrast set consisted of a neighbor of the target, naming was usually consistent with the contrast category. This effect was reduced when a typical instance of the contrast category was also exposed. In Experiment 2, the exposure set was varied to include conditions in which either the neighbor or a prototypical instance was paired with an instance dissimilar to the target. The results suggest that all recently exposed objects affect name choice in proportion to their similarity to the target.

Adult↗