Pain for the Moral Error Theory? A New Companions-in-Guilt Argument

The moral error theorist claims that moral discourse is irredeemably in error because it is committed to the existence of properties that do not exist. A common response has been to postulate ‘companions in guilt’—forms of discourse that seem safe from error despite sharing the putatively problematic features of moral discourse. The most developed instance of this pairs moral discourse with epistemic discourse. In this paper, I present a new, prudential, companions-in-guilt argument and argue for its superiority over the epistemic alternative.     

Is Jessie right to end her life?

Presupposing that our consideration of ethical issues can be enriched by examining literary works, this paper focuses on Marsha Norman's play ‘night, Mother. The play describes the last hour and a half in the life of Jessie, a young woman who decides to die by suicide. Before ending her life, Jessie explains to her mother her reasons for her suicide. In the context of the play, these are presented as quite weighty and as, perhaps, justifying her decision. Scholarly research on the play has also treated Jessie's suicide favorably. In this paper I argue that Jessie, and people in similar conditions, are wrong to die by suicide. Among other points, I criticize Jessie's arguments from the impossibility to improve life; the assured termination of suffering; the badness of the world; and the right for suicide. I also criticize arguments in the scholarly literature that view Jessie's suicide favorably, such as the arguments from independence, heroism, authenticity, and emotional closeness.     

Linking metaphor comprehension with analogical reasoning: Evidence from typical development and autism spectrum disorder

We examined the relationship between metaphor comprehension and verbal analogical reasoning in young adults who were either typically developing (TD) or diagnosed with Autism Spectrum Disorder (ASD). The ASD sample was highly educated and high in verbal ability, and closely matched to a subset of TD participants on age, gender, educational background, and verbal ability. Additional TD participants with a broader range of abilities were also tested. Each participant solved sets of verbal analogies and metaphors in verification formats, allowing measurement of both accuracy and reaction times. Measures of individual differences in vocabulary, verbal working memory, and autistic traits were also obtained. Accuracy for both the verbal analogy and the metaphor task was very similar across the ASD and matched TD groups. However, reaction times on both tasks were longer for the ASD group. Additionally, stronger correlations between verbal analogical reasoning and working memory capacity in the ASD group indicated that processing verbal analogies was more effortful for them. In the case of both groups, accuracy on the metaphor and analogy tasks was correlated. A mediation analysis revealed that after controlling for working memory capacity, the inter-task correlation could be accounted for by the mediating variable of vocabulary knowledge, suggesting that the primary common mechanisms linking the two tasks involve language skills.     

共产主义信念对道德认知的影响及认知机制

基于五个实验研究联合使用单类内隐联想范式与概念启动范式,探讨了共产主义信念与道德认知的关系及其认知机制。结果显示:(1)共产主义信念与道德在概念层面具有相容性;(2)在阈上、阈下水平启动共产主义信念均能够显著促进道德概念判断;(3)共产主义信念促进道德判断的启动效应呈现累积趋势,符合证据累积模型,而在词汇决定任务下未出现概念的扩散激活效应,不符合扩散激活模型。系列研究表明,新时代中国特色社会主义背景下,共产主义信念与道德认知产生了显著地关联,共产主义信念启动能够促进道德判断,且共产主义信念促进道德判断的启动效应并不是发生在语义层面,而是知觉层面。     

Adaptations for Youth

Aaron T. Beck exemplified the clinical scientist, willing to test his hypotheses, and willing to share his experiences and treatment features with others. Assessment and treatment of emotional disorders have been forever improved through the efforts of Aaron T. Beck. Using the psychological treatment of an emotional disorder in youth (i.e., anxiety), this commemorative reflects on how Aaron T. Beck’s clinical strategies have been impactful well beyond his initial focus. As a world-renowned clinical scientist, Beck’s work has influenced multiple fields addressing mental health. As a friend and colleague, Beck was a gentleman and a scholar.     

How is the visual working memory load of driver influenced by information density of traffic signs?

The rapid development of urban roads has resulted in an increase in the amount of information that needs to be displayed on traffic signs. The overloading of information on traffic signs may increase drivers’ visual cognition burden and cause driving errors. It could be an important factor affecting driving safety and result in accidents. To enable drivers to cognize traffic signs, the information density that they could endure under reasonable workload levels should be determined. In this study, we designed and implemented trials to analyze drivers’ visual working memory load (VWML) caused by different information densities (including stimulus intensity (SI) and interval time of stimulus (IS)) of traffic signs. Twenty-four paid participants (12 females) with a mean age of 23.38 years (SD = 1.38) participated in laboratory simulation trials based on the memory retrieval approach. Subjective ratings (rating scale mental effort (RSME)), and performance measurement based on reaction time and accuracy of information-matching task were measured to reflect drivers’ VWML at different information densities. The results show that information density is an important factor affecting drivers’ VWML. The following are the significant observations of the study: (1) The subjective ratings on mental effort increased with increase in the SI. Meanwhile, it first decreased and then increased with increase in the IS. (2) The response accuracy results show that a high accuracy (≥0.7) was achieved by drivers in an IS of 15 s when the SI was at most 14.16 bit/m². Correspondingly, the drivers underwent less mental workload as a result of their better short-term memory characteristic. (3) The mean reaction time was over 1800 ms when the SI was over 14.16 bit/m². This indicated a reduction in the information-processing capability of the drivers. The results indicate that cognition of information of unreasonable density on traffic signs would increase drivers’ VWML. This would, in turn, result in an increase in their reaction time and decrease in accuracy. The threshold of information density was also determined through the experiment. It would satisfy the information demand of drivers and prevent information redundancy. The results contribute to an understanding of drivers’ VWML while cognizing traffic signs with different information densities and provide safety, effectiveness, and information continuity considerations for the design and setting of traffic signs.     

Human machine interface design for continuous support of mode awareness during automated driving: An online simulation

In the transition towards higher levels of vehicle automation, one of the key concerns with regards to human factors is to avoid mode confusion, when drivers misinterpret the driving mode and therewith misjudge their own tasks and responsibility. To enhance mode awareness, a clear human centered Human Machine Interface (HMI) is essential. The HMI should support the driver tasks of both supervising the driving environment when needed and self-regulating their non-driving related activities (NDRAs). Such support may be provided by either presenting continuous information on automation reliability, from which the driver needs to infer what task is required, or by presenting continuous information on the currently required driving task and allowed NDRA directly. Additionally, it can be valuable to provide continuous information to support anticipation of upcoming changes in the automation mode and its associated reliability or required and allowed driver task(s). Information that could support anticipation includes the available time until a change in mode (i.e. time budget), information on the upcoming mode, and reasons for changing to the upcoming mode. The current work investigates the effects of communicating this potentially valuable information through HMI design. Participants received information from an HMI during simulated drives in a simulated car presented online (using Microsoft Teams) with an experimenter virtually accompanying and guiding each session. The HMI either communicated on automation reliability or on the driver task, and either included information supporting anticipation or did not include such information. Participants were thinking aloud during the simulated drives and reported on their experience and preferences afterwards. Anticipatory information supported understanding about upcoming changes without causing information overload or overreliance. Moreover, anticipatory information and information on automation reliability, and especially a combination of the two, best supported understandability and usability. Recommendations are provided for future work on facilitating supervision and NDRA self-regulation during automated driving through HMI design.     

视觉与言语工作记忆表征对视觉注意的引导

通过三个实验,探讨不同时间进程下视觉和言语工作记忆表征对视觉注意的引导。实验1采用注意引导与注意探测任务同时呈现的范式,探讨不同记忆项与注意项时间间隔(SOA)条件下言语工作记忆表征对视觉注意的引导。结果发现,当SOA较短时言语工作记忆表征对视觉注意有引导效应,而SOA较长时未观察到引导效应;实验2、3采用注意引导任务与注意探测任务分离范式,分别探讨在不同SOA条件下言语和视觉工作记忆表征对视觉注意的引导。结果发现,不同SOA条件下言语和视觉工作记忆表征均能引导视觉注意。研究表明,不同实验范式对言语工作记忆表征对视觉注意的引导有明显影响,视觉比言语工作记忆表征能在更广泛条件下引导视觉注意。     

数字空间表征的在线建构：来自干扰情境中数字SNARC效应的证据

尽管已有研究发现数字以空间方式表征在人类记忆系统, 但是人脑如何完成数字的空间表征尚存争议。本研究两个实验在不同比例的数字字母(实验1)和不同比例的数字汉字(实验2)混合情境中考察了数字空间表征特点及其机制, 对上述争议进行了深入研究。结果发现：(1)当数字字母比例为“1 : 1”时, 数字加工中不出现SNARC效应。当数字字母比例为“1 : 6”和“6 : 1”时, 数字加工中均出现SNARC效应。即数字字母比例与数字SNARC效应之间呈倒“U”型关系。(2)数字汉字混合情境中数字汉字比例与数字SNARC效应之间同样呈倒“U”型关系。结果说明：(1)干扰刺激与数字混合呈现会影响数字SNARC效应。(2)干扰刺激加工对数字SNARC效应的影响受到数字与干扰刺激比例的调节, 且具有跨干扰材料的稳定性。研究结果意味着数字的空间表征是人类通过统计学习在线建构的, 支持了工作记忆理论。     

心理虐待与忽视对志愿投入的影响:链式中介效应分析

本研究根据道德认同模型与亲社会行为理论,以808名大学生志愿者为被试,通过问卷调查探索心理虐待与忽视对志愿投入的影响机制。结果发现:心理虐待与忽视对志愿投入的影响主要由公正世界信念与道德认同的中介作用来实现。本研究揭示了心理虐待与忽视与志愿投入的关系及内在机制,丰富了公正世界信念和道德认同的相关研究。