THE TREATMENT OF COVERT SELF-INJURY THROUGH CONTINGENCIES ON RESPONSE PRODUCTS

Assessment and treatment of covert self-injurious behavior are complicated because it is difficult to quantify and apply differential consequences to covert responses. In this study, both tangible and social reinforcers were identified using reinforcer assessment methods. These reinforcers were then provided contingent upon the absence of tissue damage identified during physical examinations, resulting in near 100% success in physical assessment checks that was maintained over 10 months.     

Sensitizing Medical Residents to Fantasies and Alignments in the Family: Mastering Psychosocial Skills in the Medical Encounter

In this paper, it is proposed that a) psychosocial medicine is best taught in a setting that provides technical and emotional support, while seizing for teaching only those moments when the learner is most receptive; and b) that the setting should avoid the development of a separate psychosocial skills curriculum, but should take the student where he or she is and integrate the psychosocial skills into his or her everyday biomedical practice. The paper gives specific case examples in which family based psychosocial issues were preeminent in the clinical problem-solving medical residents faced.     

国内外医学专业杂志发表医学人文相关文章情况分析

总结分析了201 2年1月～2013年5月国外4种医学专业杂志(BMJ、JAMA、LANCET和NEJM)医学人文相关文章的发表情况,并与国内4种知名医学专业杂志(《中华医学杂志》、《中国实用内科杂志》、《中华内科杂志》和《中华外科杂志》)发表的医学人文类文章的情况进行对比分析,结果发现,国外医学专业杂志医学人文类文章比重较大,而且涉及的领域较广,包括医疗卫生政策管理、医学社会学、对患者及医生的人文关怀、医疗风险告知和医疗差错告知的文章.而国内与国外杂志相比存在较大差距.     

The Effect of Evidential Impact on Perceptual Probabilistic Judgments

In a series of three behavioral experiments, we found a systematic distortion of probability judgments concerning elementary visual stimuli. Participants were briefly shown a set of figures that had two features (e.g., a geometric shape and a color) with two possible values each (e.g., triangle or circle and black or white). A figure was then drawn, and participants were informed about the value of one of its features (e.g., that the figure was a “circle”) and had to predict the value of the other feature (e.g., whether the figure was “black” or “white”). We repeated this procedure for various sets of figures and, by varying the statistical association between features in the sets, we manipulated the probability of a feature given the evidence of another (e.g., the posterior probability of hypothesis “black” given the evidence “circle”) as well as the support provided by a feature to another (e.g., the impact, or confirmation, of evidence “circle” on the hypothesis “black”). Results indicated that participants’ judgments were deeply affected by impact, although they only should have depended on the probability distributions over the features, and that the dissociation between evidential impact and posterior probability increased the number of errors. The implications of these findings for lower and higher level cognitive models are discussed.     

Counterexample Search in Diagram-Based Geometric Reasoning

Topological relations such as inside, outside, or intersection are ubiquitous to our spatial thinking. Here, we examined how people reason deductively with topological relations between points, lines, and circles in geometric diagrams. We hypothesized in particular that a counterexample search generally underlies this type of reasoning. We first verified that educated adults without specific math training were able to produce correct diagrammatic representations contained in the premisses of an inference. Our first experiment then revealed that subjects who correctly judged an inference as invalid almost always produced a counterexample to support their answer. Noticeably, even if the counterexample always bore a certain level of similarity to the initial diagram, we observed that an object was more likely to be varied between the two drawings if it was present in the conclusion of the inference. Experiments 2 and 3 then directly probed counterexample search. While participants were asked to evaluate a conclusion on the basis of a given diagram and some premisses, we modulated the difficulty of reaching a counterexample from the diagram. Our results indicate that both decreasing the counterexample density and increasing the counterexample distance impaired reasoning performance. Taken together, our results suggest that a search procedure for counterexamples, which proceeds object-wise, could underlie diagram-based geometric reasoning. Transposing points, lines, and circles to our spatial environment, the present study may ultimately provide insights on how humans reason about topological relations between positions, paths, and regions.     

自我-朋友冲突情境下智慧推理的文化差异及其机制

相对于面对自己的人际冲突, 以独立自我为主的西方人在面对朋友的人际冲突时表现更智慧(所罗门悖论)。在以互依自我为主的中国人身上所罗门悖论是否会有不同特点?研究1通过在线平台招募中美两国被试, 随机分配到自我与朋友冲突组考察其智慧推理水平, 并考察自我类型的影响。对齐法与方差分析的结果均显示美国文化下朋友组智慧推理显著高于自我组, 而中国文化下两组差异不显著, 进一步分析发现中国文化下独立自我与冲突类型的交互项显著预测智慧推理。在此基础上, 研究2~4在中国文化背景下, 通过启动不同自我类型, 考察个体在自我或朋友冲突组中的智慧推理差异, 结果显示启动独立自我的朋友组显著高于自我组, 而启动互依自我的两组差异不显著。研究表明所罗门悖论可能只存在独立自我高的人身上, 并不具有普适性。可见心理学研究除了关注样本多样性问题外, 更需关注使用单一样本却默认结论具有文化普适性的研究者。     

Does change in ethical education influence core moral values? Towards history- and culture-aware morality model with application in automatic moral reasoning

In this study, we focus on ethical education as a means to improve artificial companion’s conceptualization of moral decision-making process in human users. In particular, we focus on automatically determining whether changes in ethical education influenced core moral values in humans throughout the century. We analyze ethics as taught in Japan before WWII and today to verify how much the pre-WWII moral attitudes have in common with those of contemporary Japanese, to what degree what is taught as ethics in school overlaps with the general population’s understanding of ethics, as well as to verify whether a major reform of the guidelines for teaching the school subject of “ethics” at school after 1946 has changed the way common people approach core moral questions (such as those concerning the sacredness of human life). We selected textbooks used in teaching ethics at school from between 1935 and 1937, and those used in junior high schools today (2019) and analyzed what emotional and moral associations such contents generated. The analysis was performed with an automatic moral and emotional reasoning agent and based on the largest available text corpus in Japanese as well as on the resources of a Japanese digital library. As a result, we found out that, despite changes in stereotypical view on Japan’s moral sentiments, especially due to historical events, past and contemporary Japanese share a similar moral evaluation of certain basic moral concepts, although there is a large discrepancy between how they perceive some actions to be beneficial to the society as a whole while at the same time being inconclusive when it comes to assessing the same action’s outcome on the individual performing them and in terms of emotional consequences. Some ethical categories, assessed positively before the war, while being associated with a nationalistic trend in education have also disappeared from the scope of interest of post- war society. The findings of this study support suggestions proposed by others that the development of personal AI systems requires supplementation with moral reasoning. Moreover, the paper builds upon this idea and further suggests that AI systems need to be aware of ethics not as a constant, but as a function with a correction on historical and cultural changes in moral reasoning.     

Instructions Moderate the Relationship between Creative Performance in Figural Divergent Thinking and Reasoning Capacity

In this study with within-subject design, the “be-creative effect” was investigated using three instructions in figural divergent-thinking tasks: Besides a be-fluent instruction, a be-creative instruction, and a be-creative instruction combined with strategies were applied. In addition, reasoning ability as part of fluid intelligence, self-reported creative ideation, current motivation after reading the instructions, and task-related interest were assessed. Multilevel analysis applying random-intercept-constant-slope models found significant main effects of the instructions on creative performance and fluency. Both be-creative instructions yielded a rise in creative performance in divergent thinking tasks with additional improvement due to supporting strategies. The be-fluent instruction enhanced the quantity of ideas but decreased creative performance. Task-related interest turned out to be a better predictor of creative performance than the self-estimated expected interest prior to working on the task. Moreover, the relationship of creative performance and reasoning ability was moderated by instruction, with no relationship with a be-fluent instruction and small to moderate positive effects with both instructions emphasizing creative ideas.     

A Process Model of Causal Reasoning

How do we make causal judgments? Many studies have demonstrated that people are capable causal reasoners, achieving success on tasks from reasoning to categorization to interventions. However, less is known about the mental processes used to achieve such sophisticated judgments. We propose a new process model—the mutation sampler—that models causal judgments as based on a sample of possible states of the causal system generated using the Metropolis–Hastings sampling algorithm. Across a diverse array of tasks and conditions encompassing over 1,700 participants, we found that our model provided a consistently closer fit to participant judgments than standard causal graphical models. In particular, we found that the biases introduced by mutation sampling accounted for people's consistent, predictable errors that the normative model by definition could not. Moreover, using a novel experimental methodology, we found that those biases appeared in the samples that participants explicitly judged to be representative of a causal system. We conclude by advocating sampling methods as plausible process-level accounts of the computations specified by the causal graphical model framework and highlight opportunities for future research to identify not just what reasoners compute when drawing causal inferences, but also how they compute it.