样例多样性和流畅性信念对类别学习判断的影响

目的:通过三个实验考查样例特征、流畅性和信念对类别学习及其元认知判断的影响。方法:实验1采用2(样例特征)×2(测试类型)的组内设计以检验样例特征的作用; 实验2采用2(样例特征)×2(测试类型)×2(流畅性)的组内设计以检验流畅性的作用; 实验3采用2(样例特征)×2(测试类型)×2(流畅性信念)的混合设计以检验信念对类别学习判断的作用。结果表明:样例特征影响学习成绩、类别学习判断和流畅感; 流畅性不会影响类别学习判断; 原理解释能够有效建立“关于流畅性的信念”,且“关于流畅性的信念”对类别学习判断起作用。即样例多样性和流畅性信念对类别学习判断起作用,支持信念假说。     

Learning and retention through predictive inference and classification

Work in category learning addresses how humans acquire knowledge and, thus, should inform classroom practices. In two experiments, we apply and evaluate intuitions garnered from laboratory-based research in category learning to learning tasks situated in an educational context. In Experiment 1, learning through predictive inference and classification were compared for fifth-grade students using class-related materials. Making inferences about properties of category members and receiving feedback led to the acquisition of both queried (i.e., tested) properties and nonqueried properties that were correlated with a queried property (e.g., even if not queried, students learned about a species' habitat because it correlated with a queried property, like the species' size). In contrast, classifying items according to their species and receiving feedback led to knowledge of only the property most diagnostic of category membership. After multiple-day delay, the fifth-graders who learned through inference selectively retained information about the queried properties, and the fifth-graders who learned through classification retained information about the diagnostic property, indicating a role for explicit evaluation in establishing memories. Overall, inference learning resulted in fewer errors, better retention, and more liking of the categories than did classification learning. Experiment 2 revealed that querying a property only a few times was enough to manifest the full benefits of inference learning in undergraduate students. These results suggest that classroom teaching should emphasize reasoning from the category to multiple properties rather than from a set of properties to the category.     

The dilution effect: Nondiagnostic information weakens the implications of diagnostic information

In a series of studies, subjects were asked to make predictions about target individuals. Some subjects were given information about the target which pretest subjects had judged to be “diagnostic”—that is, had judged to be usefully predictive of the outcome. Other subjects were given a mix of information judged to be diagnostic and information judged to be “nondiagnostic” by pretest subjects—that is, judged to be of little value for predicting the outcome. Subjects given mixed information made much less extreme predictions than did subjects given only diagnostic information. It was argued that this “dilution effect” occurs because people make predictions by making simple similarity judgments. That is, they compare the information they have about the target with their conception of outcome categories. The presence of individuating but nondiagnostic information about the target reduces the similarity between the target and those outcomes that are suggested by the diagnostic information. One of the major implications is that stereotypes and other “social knowledge structures” may be applied primarily to abstract, undifferentiated individuals and groups and may be largely set aside when judgments are made about concrete, individuated people.     

On Gender Specificity of Person Characteristics in Personnel Advertisements: A Study Among Future Applicants

This research is an examination of how person characteristics mentioned in personnel advertisements influence the judgments of male and female students with regard to their subjective eligibility for, and the attractiveness of, a particular vacancy. The first study showed that many frequently mentioned person characteristics in personnel advertisements applied differently to men and women, but that female characteristics were more in demand than male characteristics. The second study examined to what degree male and female participants felt that they themselves possessed male and female characteristics; results showed that the men were more confident about the degree to which they possessed male and female characteristics than the women were. The third study examined how the type of person characteristics mentioned in personnel advertisements influenced men's and women's judgments regarding their eligibility for and the attractiveness of a particular position. The men found all positions about equally attractive, whereas the women found “male” positions considerably less attractive. Implications of the study are discussed.     

TELEVISION'S INFLUENCE ON CHILDREN'S ENCODING OF PERSON INFORMATION

A recent model of person memory suggests that people will use the most accessible or most recently thought about traits in describing other people. An experiment was conducted to test the notion that once a trait is activated or “primed” by television, that trait will be more accessible and, therefore, more likely to influence encoding of new information. A group of 64 children in second, fourth, and sixth grades watched a 10-minute videotape designed to prime the trait “funny” by showing children representative segments of humorous situation comedy programs. After viewing, children evaluated a child they had never met on several traits including “funny” and two other traits taken from past television research—“attractive” and “strong.” A control group (n= 68) evaluated the new child only. Results showed no significant main effects of treatment, but significant interactions between treatment and grade. Second grade children in the experimental group rated the new child lower on traits funny, attractive, and strong in comparison to the control group. Sixth graders rated the new child higher on the same traits, and fourth graders showed no differences between the two conditions. No effects were found for 22 other traits. The results are discussed in terms of direct and contrast effects of prior information on person judgments.     

Building on Wachtel’s Points About Implications of Mitchell’s Ideas: Suggestions Based on the Participatory Philosophical Perspective for Locating the Person in the World of Practical Activities

In his paper “The Relationality of Everyday Life,” Wachtel (this issue) successfully moves us further along the path of the “unfinished journey” (p. 509) of Mitchell’s work. I begin my comments by pointing out how Wachtel identifies the importance for both theory and practice of focusing on everyday life in addition to early parent–child interactions and what transpires in psychoanalytic/psychotherapy sessions. His points about everyday life include rejecting one-person notions of internal processes that are “frozen” in time and offering a way to understand the vicious circles that are a prominent part of most clinical problems. My comments also include suggestions about how we can take another step along the path Wachtel has encouraged us to pursue—which he aptly describes as treating the person as a “self-in-context” (p. 507)—if we approach basic issues about the person’s relationship to others and the world at large along the lines of the participatory philosophical perspective (e.g., Westerman, 2005, 2013, 2014; Westerman & Steen, 2007). That perspective takes as its cornerstone idea the view that from the outset the person is a participant in practical activities. Guided by the participatory perspective, I add to Wachtel’s suggestions about how a focus on everyday life can enter into therapeutic work; present a different view of what are typically called “inner” processes and discuss some of the implications of that view for clinical work; and, most important, put forward an alternative account of vicious circles.     

Distributional Models of Category Concepts Based on Names of Category Members

Cognitive scientists have long used distributional semantic representations of categories. The predominant approach uses distributional representations of category-denoting nouns, such as “city” for the category city. We propose a novel scheme that represents categories as prototypes over representations of names of its members, such as “Barcelona,” “Mumbai,” and “Wuhan” for the category city. This name-based representation empirically outperforms the noun-based representation on two experiments (modeling human judgments of category relatedness and predicting category membership) with particular improvements for ambiguous nouns. We discuss the model complexity of both classes of models and argue that the name-based model has superior explanatory potential with regard to concept acquisition.     

What Do People Find Incompatible With Causal Determinism?

Four studies explored people's judgments about whether particular types of behavior are compatible with determinism. Participants read a passage describing a deterministic universe, in which everything that happens is fully caused by whatever happened before it. They then assessed the degree to which different behaviors were possible in such a universe. Other participants evaluated the extent to which each of these behaviors had various features (e.g., requiring reasoning). We assessed the extent to which these features predicted judgments about whether the behaviors were possible in a deterministic universe. Experiments 1 and 2 found that people's judgments about whether a behavior was compatible with determinism were not predicted by their judgments about whether that behavior relies on physical processes in the brain and body, is uniquely human, is unpredictable, or involves reasoning. Experiment 3, however, found that a distinction between what we call “active” and “passive” behaviors can explain people's judgments. Experiment 4 extended these findings, showing that we can measure this distinction in several ways and that it is robustly predicted by two different cues. Taken together, these results suggest that people carve up mentally guided behavior into two distinct types—understanding one type to be compatible with determinism, but another type to be fundamentally incompatible with determinism.     

Impartial Morality and Practical Deliberation as First‐Personal

Bernard Williams questioned whether impartial morality “can allow for the importance of individual character and personal relations in moral experience.” Underlying his position is a distinction between factual and practical deliberation. While factual deliberation is about the world and brings in a standpoint that is impartial, practical deliberation is, he claims, radically first‐personal; it “involves an I that [is] intimately the I of my desires.” While it may be thought that Williams's claim implies an unpalatable Humean subjectivism, the present article argues that this does not follow: That first‐person practical deliberation is directed both by the “I of my desires” and by the world. Drawing on Peter Winch's argument against the universalizability of moral judgments and D. H. Lawrence's Lady Chatterley's Lover, the article argues that practical deliberations involve discovering value in the world, but that what is revealed about the world depends constitutively on the first‐person deliberations and decisions of particular agents.     

When learning order affects sensitivity to base rates: challenges for theories of causal learning

In three experiments we investigated whether two procedures of acquiring knowledge about the same causal structure, predictive learning (from causes to effects) versus diagnostic learning (from effects to causes), would lead to different base-rate use in diagnostic judgments. Results showed that learners are capable of incorporating base-rate information in their judgments regardless of the direction in which the causal structure is learned. However, this only holds true for relatively simple scenarios. When complexity was increased, base rates were only used after diagnostic learning, but were largely neglected after predictive learning. It could be shown that this asymmetry is not due to a failure of encoding base rates in predictive learning because participants in all conditions were fairly good at reporting them. The findings present challenges for all theories of causal learning.     

Experimental Tests of Risk Ladders in the Elicitation of Perceived Likelihood

Risk ladders have the potential to improve numeric judgments of low‐likelihood events by providing information about the likelihoods of comparison risks, thereby letting respondents make risk estimates “in context.” However, to date this tool has been studied systematically only in communication of risk, not in elicitation of perceived likelihoods. In three studies, we evaluated the benefits of risk ladders on the consistency, validity, and mean‐level accuracy of elicited likelihood judgments. When estimates for low‐likelihood hazards were elicited using different numeric response scales (e.g., “1 in x” and “x in 100,000”), scale type had a strong effect on the magnitudes of the elicited estimates, and viewing a risk ladder (Experiment 1) or comparison risks (Experiments 2 and 3) did not attenuate this effect of scale type. Similarly, we found no evidence that risk ladders or comparison risks improved the convergent validity of numeric estimates, as measured using correlations with risk ratings made on alternative scale types. Finally, viewing comparison risks tended to reduce gross overestimation of rare events, with relatively less change in estimates for mid‐likelihood and high‐likelihood hazards. This suggests that comparison risks can spread responses to cover a wider range of values but do not ameliorate scale effects. In the elicitation of numeric risk estimates, how you ask matters, even if you let people make estimates “in context” through the use of comparative risk information. Copyright © 2015 John Wiley & Sons, Ltd.     

The Role of Temporal Comparison, Social Comparison, and Direct Appraisal in the Elderly's Self-Evaluations of Health

Elderly persons (n= 91) were interviewed about self- perceptions of physical health and the contribution of social comparison, temporal comparison, and direct appraisal to these judgments. Consistent with previous studies, self-assessments tended to be mainly positive (67% reported their health as “good” or “excellent”), though tempered somewhat by the individual's objective physical condition (i.e., number of chronic diseases or disabilities). Independent of objective health, respondents' ratings were more negative if they mentioned thinking about past or anticipated health. Respondents were more concerned about their health if they thought about their past or anticipated health or mentioned comparing with a specific other person. Direct feedback had no effect on health ratings. Among those who reported social comparison, ratings were more positive when worse-off others were mentioned. Temporal comparisons may be associated with more negative ratings because the elderly's past health is likely to have been better and their future (anticipated) health can be expected to become worse. If using temporal and social comparison information is associated with more negative assessments then what accounts for the generally positive self-assessments? We propose that the elderly compare themselves with a cognitively constructed stereotypical standard of the frail elderly rather than with a specific other. Because few elderly actually “fit” this stereotype, most elderly feel they are doing well.     

Observed attention allocation processes in category learning

In two empirical studies of attention allocation during category learning, we investigate the idea that category learners learn to allocate attention optimally across stimulus dimensions. We argue that “optimal” patterns of attention allocation are model or process specific, that human learners do not always optimize attention, and that one reason they fail to do so is that under certain conditions the cost of information retrieval or use may affect the attentional strategy adopted by learners. We empirically investigate these issues using a computer interface incorporating an “information-board” display that collects detailed information on participants' patterns of attention allocation and information search during learning trials. Experiment 1 investigated the effects on attention allocation of distributing perfectly diagnostic features across stimulus dimensions versus within one dimension. The overall pattern of viewing times supported the optimal attention allocation hypothesis, but a more detailed analysis produced evidence of instance- or category-specific attention allocation, a phenomenon not predicted by prominent computational models of category learning. Experiment 2 investigated the strategies adopted by category learners encountering redundant perfectly predictive cues. Here, the majority of participants learned to distribute attention optimally in a cost–benefit sense, allocating attention primarily to only one of the two perfectly predictive dimensions. These results suggest that learners may take situational costs and benefits into account, and they present challenges for computational models of learning that allocate attention by weighting stimulus dimensions.     

Learning on a response continuum: Comparison of a linear change and a functional learning model

Two reinforcement schedules were used to compare the predictive validity of a linear change model with a functional learning model. In one schedule, termed “convergent,” the linear change model predicts convergence to the optimum response, while in the other, termed “divergent,” this model predicts that a subject's response will not converge. The functional learning model predicts convergence in both cases. Another factor that was varied was presence or absence of random error or “noise” in the relationship between response and outcome. In the “noiseless” condition, in which no noise is added, a subject could discover the optimum response by chance, so that some subjects could appear to have converged fortuitously. In the “noisy” conditions such chance apparent convergence could not occur.The results did not unequivocally favor either model. While the linear change model's prediction of nonconvergence in the divergent conditions (particularly the “noisy” divergent condition) was not sustained, there was a clear difference in speed of convergence, counter to the prediction inferred from the functional learning model. Evidence that at least some subjects were utilizing a functional learning strategy was adduced from the fact that subjects were able to “map out” the relation between response and outcome quite accurately in a follow-up task. Almost all subjects in the “noisy” conditions had evidently “learned” a strong linear relation, with slope closely matching the veridical one.The data were consistent with a hybrid model assuming a “hierarchy of cognitive strategies” in which more complex strategies (e.g., functional learning) are utilized only when the simpler ones (e.g., a linear change strategy) fail to solve the problem.     

De‐escalation after repeated negative feedback: emergent expectations of failure

Research on willingness to make marginal investments (e.g., the escalation and sunk cost literatures) has often focused on project completion decisions, such as the “radar‐blank plane.” This paper discusses a fundamentally different type of marginal investment decision, that of couples deciding whether to continue infertility treatment in the face of repeated failures. Two experiments based on this context show that when people face multiple independent chances to achieve a valued goal but are unsure about chances of success, premature quitting or “de‐escalation” is the norm. Repeated negative feedback appears to induce individuals to see each successive failure as more and more diagnostic. As a result, even a short series of failed attempts evokes beliefs that future attempts will also fail. These emergent expectations of failure, generated by causal attribution processes, associative learning, and/or discounting of ambiguous information, appear very compelling and induce people to forgo profitable marginal investments. Copyright © 2004 John Wiley & Sons, Ltd.     

反馈延迟与掩蔽类型对知觉类别学习的影响

通过两个实验探讨反馈延迟与掩蔽类型对知觉类别学习的影响。实验1光栅掩蔽条件下,采用2（类别结构：基于规则vs.信息整合）×2（延迟反馈：500vs.3000ms）被试间实验设计,实验2采用同样的实验设计,保持延迟反馈时间不变,但改掩蔽类型为黑屏掩蔽。结果发现：（1）光栅掩蔽条件下,反馈延迟削弱信息整合类别结构的成绩,不影响基于规则类别学习,内隐外显类别结构之间存在分离效应。（2）黑屏掩蔽条件下,信息整合与基于规则类别结构的成绩均不受到延迟反馈的影响,分离效应消失。实验说明“无关因素”掩蔽影响知觉类别学习,知觉噪音与标准噪音在反馈延迟影响知觉类别学习中起到重要作用,COVIS模型理论关于延迟反馈时间影响知觉类别学习的解释具有局限性。     

Retrieval of propositional information from long-term memory

Three experiments are reported in which subjects learn propositions like A hippie is in the park. The experiments manipulate the number of such propositions involving a particular person (e.g., hippie) or a particular location (e.g., park). After learning the material, subjects are asked to judge whether particular probe propositions are from the study set. Times to make these judgments about probe propositions increase with the number of study propositions involving the person or location used in the probe proposition. A model is presented which assumes a subject simultaneously accesses memory from all concepts in a probe proposition and serially searches through all study propositions involving each concept. Search of memory terminates as soon as one search process from a concept finds the probe proposition or exhausts the study propositions attached to that concept.     

Monitoring of learning at the category level when learning a natural concept: Will task experience improve its resolution?

Researchers have recently begun to investigate people's ability to monitor their learning of natural categories. For concept learning tasks, a learner seeks to accurately monitor learning at the category level — i.e., to accurately judge whether exemplars will be correctly classified into the appropriate category on an upcoming test. Our interest was in whether monitoring resolution at the category level would improve as participants gain task experience across multiple study-test blocks, as well as within each block. In four experiments, exemplar birds (e.g., American Goldfinch, Cassin's Finch) paired with each family name (e.g., Finch) were studied, and participants made a judgment of learning (JOL) for each exemplar. Of most interest, before and after studying the exemplars, participants made category learning judgments (CLJs), which involved predicting the likelihood of correctly classifying novel birds into each family. Tests included exemplars that had been studied or exemplars that had not been studied (novel). This procedure was repeated for either one or two additional blocks. The relative accuracy of CLJs did not improve across blocks even when explicit feedback was provided, whereas item-by-item JOL accuracy improved across blocks. Category level resolution did improve from pre-study to post-study on an initial block, but it did not consistently increase within later blocks. The stable accuracy of CLJs across blocks poses a theoretical and empirical challenge for identifying techniques to improve people's ability to judge their learning of natural categories.