Danto’s Dialectic

Arthur C. Danto’s Analytical Philosophy of History has a Kantian ambition: to state the conditions that make historical knowledge possible and to show “the unhappy destiny” that attends attempts to extend modes of representation beyond these conditions. Even though Danto’s book fails to achieve this ambition, it succeeds in making a number of important—if neglected—suggestions in the course of its attempt. One concerns the significance of the progressive tense for our thinking about human agency. Another concerns the way agency can impact negatively on the possibility of foreknowledge.

An Ideal Student Factor and the validity of noncognitive measures of student potential

The presence of a general factor has been found in previous research on the utilization of personality tests in selection contexts. Termed the Ideal Employee Factor (IEF), this factor is thought to represent an effort to present oneself as an ideal employee to some degree on all items in the test. Examining the responses to biodata and situational judgment items, we provide evidence for the existence of a factor similar to the IEF within the college admissions context, termed the Ideal Student Factor (ISF), but the magnitude of this factor relative to specific factors was small. Mixed support was found for the hypothesized differences in the factor loadings on the ISF for different constructs included in the model. The presence of the ISF was not found to substantially impact the validity of other predictors within this study. The overall conclusion is that this general factor would not impact the use of these biodata and situational judgment items in college admissions.     

Core self-evaluation moderates distinctive similarity preference in ideal partner’s personality

This research investigated the moderation effects of core self-evaluation (CSE) on singles’ ideal partner preference, concerning distinctive similarity in personality. The data were collected from singles from three countries (i.e., China, Denmark, and US), and modelled in a multilevel profile analysis. The results show that CSE moderated distinctive profile similarity preference in that people high in CSE preferred higher distinctive profile similarity with their ideal partner. In addition, CSE moderated distinctive trait similarity preference in Emotionality, Extraversion, Agreeableness, and Conscientiousness in that people high in CSE preferred their ideal partner to share higher distinctive similarity on these four traits. Implications and limitations of the research and findings are also discussed.     

Would you rather teleport or spend some time commuting? Investigating individuals’ teleportation preferences

The “teleportation test” is a unique question—used in some travel behavior research since the 2000s—to examine individuals’ perceptions towards travel time and affinities for travel. It gives people a hypothetical choice between teleporting or spending some time traveling. All studies (using different methods, including focus groups, interviews, and questionnaires) have consistently reported high teleportation preferences (about 70%). Yet, few correlates of teleportation preferences (especially sociodemographic and perceptual characteristics) have been investigated. Using data from an online questionnaire of 648 commuters in Portland, Oregon, this study investigated factors affecting individuals’ teleportation preferences. While generally representative of the area’s commuters, the sample did have higher shares of high-income workers and people using active modes or transit. Overall, 62% of respondents preferred to teleport than to spend some time commuting. Results from binary logit models identified actual commute duration, typical mode of travel, and “ideal” travel time (but no demographic attributes) as major predictors of preferences to teleport. As expected, people with longer commute durations had a greater desire to teleport, whereas bicyclists and pedestrians more often preferred to commute. People with longer ideal travel times had a greater affinity to commute and were less keen to teleport. Analysis of follow-up questions exploring reasons for respondents’ answers suggested that most “teleporters” were motivated by saving time to do other things, while most “commuters” found parts of their commutes to be enjoyable or productive. Findings from this study are consistent with related studies in implying that a teleportation preference does not necessarily represent zero ideal travel time or viewing travel time as wasted. Finally, this study discusses several travel behavior policy implications of the teleportation test, along with limitations and areas for future research.     

Dress fit and body image: A thematic analysis of women's accounts during and after trying on dresses

This study was designed to investigate women's experiences of dress fit and body image. Spontaneous speech of 20 women aged 18–45 years was audio-recorded while they tried on a number of dresses. They were also body-scanned and photographed in their chosen dress and discussed both the scan and the photograph in semi-structured interviews. Data were analysed using inductive thematic analysis and four key themes were found: the slim hourglass ideal, functional aspects of clothes fit, body confidence and clothes fit, and clothes dimensions and size coding. All themes and component sub-themes were ratified in follow-up sessions six months after the original interviews. It was concluded that these women had a complicated relationship with clothes fit and sizing and used well-fitting clothes to increase body confidence, cover perceived flaws, and to try to attain a slender hourglass look. Ideas for future directions for research in these areas are discussed.     

自我差异对消费者产品属性选择偏好的影响

自我是一个人所持有的关于自我特征的信念,不同的理想和现实自我差异可能带来不同的消费选择。本研究以在校大学生作为被试,通过阅读不同的理想与现实自我材料,启动被试的理想与现实的自我差异,考察其对消费者产品属性选择偏好的影响。结果发现：现实与理想自我差异小的被试,更偏好享乐属性强的产品;现实与理想自我差异大的被试,更偏好功能属性强的产品。     

Classification objects, ideal observers & generative models

A successful vision system must solve the problem of deriving geometrical information about three-dimensional objects from two-dimensional photometric input. The human visual system solves this problem with remarkable efficiency, and one challenge in vision research is to understand how neural representations of objects are formed and what visual information is used to form these representations. Ideal observer analysis has demonstrated the advantages of studying vision from the perspective of explicit generative models and a specified visual task, which divides the causes of image variations into the separate categories of signal and noise. Classification image techniques estimate the visual information used in a task from the properties of “noise” images that interact most strongly with the task. Both ideal observer analysis and classification image techniques rely on the assumption of a generative model. We show here how the ability of the classification image approach to understand how an observer uses visual information can be improved by matching the type and dimensionality of the model to that of the neural representation or internal template being studied. Because image variation in real world object tasks can arise from both geometrical shape and photometric (illumination or material) changes, a realistic image generation process should model geometry as well as intensity. A simple example is used to demonstrate what we refer to as a “classification object” approach to studying three-dimensional object representations.     

Characterizing perceptual learning with external noise

Performance in perceptual tasks often improves with practice. This effect is known as ‘perceptual learning,’ and it has been the source of a great deal of interest and debate over the course of the last century. Here, we consider the effects of perceptual learning within the context of signal detection theory. According to signal detection theory, the improvements that take place with perceptual learning can be due to increases in internal signal strength or decreases in internal noise. We used a combination of psychophysical techniques (external noise masking and double-pass response consistency) that involve corrupting stimuli with externally added noise to discriminate between the effects of changes in signal and noise as observers learned to identify sets of unfamiliar visual patterns. Although practice reduced thresholds by as much as a factor of 14, internal noise remained virtually fixed throughout training, indicating learning served to predominantly increase the strength of the internal signal. We further examined the specific nature of the changes that took place in signal strength by correlating the externally added noise with observer’s decisions across trials (response classification). This technique allowed us to visualize some of the changes that took place in the linear templates used by the observers as learning occurred, as well as test the predictions of a linear template-matching model. Taken together, the results of our experiments offer important new theoretical constraints on models of perceptual learning.     

Construction of ideal model of social development under the political background of mind philosophy

The cognitive science derived from the mind philosophy is an interdisciplinary subject in the study of social phenomena and the process of social development, the research theory of social development and social cognition science interact and promote each other. Social cognition science has greatly enriched and developed the theory, viewpoints and research methods of social development. The contribution of social cognition science to social development research mainly concentrates on three areas: others, self, the interaction of self and others. Research on social development can’t solve all the problems of social development due to the limitation of methods and so on. The integration of the two disciplines may be an important development direction of research of mind psychology and social development.