The QCAE: a Questionnaire of Cognitive and Affective Empathy

Empathy has been inconsistently defined and inadequately measured. This research aimed to produce a new and rigorously developed questionnaire. Exploratory (n? = 640) and confirmatory (n? = 318) factor analyses were employed to develop the Questionnaire of Cognitive and Affective Empathy (QCAE). Principal components analysis revealed 5 factors (31 items). Confirmatory factor analysis confirmed this structure in an independent sample. The hypothesized 2-factor structure (cognitive and affective empathy) was tested and provided the best and most parsimonious fit to the data. Gender differences, convergent validity, and construct validity were examined. The QCAE is a valid tool for assessing cognitive and affective empathy.     

Women’s perception of men’s sensation seeking propensity from their dance movements

Risk-taking behaviour in men, an expression of the more general personality trait sensation seeking, has been hypothesized to be an evolved aspect of male psychology that arose through sexual selection. Sensation seeking could be seen as a costly behavioural trait that signals a man’s health and vigour and is preferred by women. This study extends knowledge about risk-taking as a cue in human mate choice by examining whether women can perceive men’s sensation seeking propensity (assessed with the Sensation Seeking Scale Form V; SSS-V) by viewing their dance movements. We videotaped 50 men’s dancing and had 60 women judge each dancer on perceived attractiveness and risk-taking. A positive and significant correlation was found between women’s attractiveness judgements and male’s SSS-V total score, thrill and adventure seeking, disinhibition and boredom susceptibility. Further, women’s risk-taking judgements were related to men’s boredom susceptibility. We conclude that (i) male sensation seeking propensity is signalled via their dance movements, and (ii) women are sensitive to these cues as they consider men who score high on sensation seeking as attractive. We discuss our results with reference to the evolutionary psychology concept of sexual selection and mate preferences.     

Dirty Hands and Moral Conflict – Lessons from the Philosophy of Evil

Philosophia - According to one understanding of the problem of dirty hands, every case of dirty hands is an instance of moral conflict, but not every instance of moral conflict is a case of dirty...     

The Search for Simplicity: A Fundamental Cognitive Principle?

It is proposed that the cognitive system imposes patterns on the world according to a simplicity principle: Choose the pattern that provides the briefest representation of the available information. The simplicity principle is normatively justified-patterns that support simple representations provide good explanations and predictions on the basis of which the agent can make decisions and actions. Moreover, the simplicity principle appears to be consistent with empirical data from many psychological domains, including perception, similarity, learning, memory, and reasoning. Thus, the simplicity principle promises to serve as the starting point for the rational analysis of a wide range of cognitive processes, in Anderson's (1990, 1991a) sense. The simplicity principle also provides a framework for integrating a wide range of existing psychological proposals.     

Probabilistic models of language processing and acquisition

Probabilistic methods are providing new explanatory approaches to fundamental cognitive science questions of how humans structure, process and acquire language. This review examines probabilistic models defined over traditional symbolic structures. Language comprehension and production involve probabilistic inference in such models; and acquisition involves choosing the best model, given innate constraints and linguistic and other input. Probabilistic models can account for the learning and processing of language, while maintaining the sophistication of symbolic models. A recent burgeoning of theoretical developments and online corpus creation has enabled large models to be tested, revealing probabilistic constraints in processing, undermining acquisition arguments based on a perceived poverty of the stimulus, and suggesting fruitful links with probabilistic theories of categorization and ambiguity resolution in perception.