“Being tied to experience”: towards a subjective account of the phenomenology of the event

Continental Philosophy Review - In this text, Heidegger's notion of the event is understood as a rupture on an ontological level. From this follows the aporia of whether the event concerns the...     

Psychopathy and COVID-19: Callousness,impulsivity, and motivational reasons for engaging in prevention behavior

Two direct replication studies were conducted to investigate the associations of psychopathic traits with engagement in COVID-19 prevention behavior and motivational reasons for engaging in such behavior. College undergraduate students completed two self-report measures of psychopathic traits based on the four-factor conceptualization of psychopathy (callous affect, manipulative tendency, erratic lifestyle, criminal tendency) and the triarchic conceptualization of psychopathy (meanness, disinhibition, boldness). Participants then reported the degree to which they engaged in COVID-19 prevention behavior currently and in the past, and reported their self-focused and other-focused motivational reasons for doing so. Results aggregated across both studies (N = 292) revealed that traits reflecting emotional callousness and impulsivity independently predicted lower levels of other-focused reasons for engaging in prevention behavior. Moreover, controlling for other-focused reasons appreciably reduced negative associations of emotional callousness and impulsivity with prevention behavior. The results provide insight into points of convergence in conceptualization and measurement of psychopathy from multiple theoretical perspectives and the importance of considering the impact of divisive personality traits on motivation to protect others during pandemics.     

From Performance to Decision Processes in 33 Years: A History ofOrganizational Behavior and Human Decision Processesunder James C. Naylor

For the past 33 years,Organizational Behavior and Human Decision Processeshas thrived under a single editor. That editor, James C. Naylor, is retiring from his long stewardship. This article chronicles the course of the journal under Jim's direction and marks some of the accomplishments and changes over the past three decades that go to his credit.     

Models and mosaics: Investigating cross-cultural differences in risk perception and risk preference

In this article, we describe a multistudy project designed to explain observed cross-national differences in risk taking between respondents from the People’s Republic of China and the United States. Using this example, we develop the following recommendations for cross-cultural investigations. First, like all psychological research, cross-cultural studies should be model based. Investigators should commit themselves to a model of the behavior under study that explicitly specifies possible causal constructs or variables hypothesized to influence the behavior, as well as the relationship between those variables, and allows for individual, group, or cultural differences in the value of these variables or in the relationship between them. This moves the focus from a simple demonstration of cross-national differences toward a prediction of the behavior, including its cross-national variation. Ideally, the causal construct hypothesized and shown to differ between cultures should be demonstrated to serve as a moderator or a mediator between culture and observed behavioral differences. Second, investigators should look for converging evidence for hypothesized cultural effects on behavior by looking at multiple dependent variables and using multiple methodological approaches. Thus, the data collection that will allow for the establishment of conclusive causal connections between a cultural variable and some target behavior can be compared with the creation of a mosaic.     

Stimulus display geometry and colour discrimination learning by pigeons

Pigeons learned a successive conditional visual discrimination on vertically and horizontally arranged pairs of stimulus-response keys. When the discriminanda were two similar hues the pigeons' performance was significantly better on the vertical than on the horizontal task. This was also found in an experiment in which the subjects could see only monocularly. When, however, the discriminative stimuli were patterns of different orientation or markedly dissimilar hues then the performance on the horizontal task had an advantage over that on the vertical one. A horizontal advantage also obtained when similar hues were discriminated on keys clustered closely together. Pigeons thus seem more adept at solving successive conditional discriminations on horizontal than on vertical pairs of keys except when similar hues are displayed on widely separated keys where the reverse is true. It is hypothesized that colour vision inequalities due to regional retinal differentiations are responsible for this latter effect.     

An attribute frequency model for the abstraction of prototypes

An attribute frequency model for the abstraction of prototypes is proposed as an alternative to the prototype-plus-transformation model. A specific model is tested in a Franks and Bransford visual pattern paradigm under conditions in which the two models generate contrasting predictions. The results support the attribute frequency model. Application of the model to reported data obtained in other paradigms is illustrated and discussed.     

A theory of perceived risk and attractiveness

People judged both the attractiveness and risk of lotteries to win or lose money. The lotteries were designed to test whether risk and attractiveness judgments show systematic deviations from the simple sum of probability-by-utility-products analogous to (S)EU theory. Our results led to an alternative combination rule for probability and outcome information, with a relative weight averaging component and a configural (i.e., sign- or rank-dependent) probability weighting component. Ratings of risk and attractiveness were negatively correlated, but the two tasks showed systematic differences in the rank order of judgments. Both judgments could be fit by the same configural relative weight averaging model, but with different parameters (especially the sign-dependent probability weighting functions). Risk judgments were more sensitive to the probability of losses and zero outcomes compared to attractiveness judgments, which were more sensitive to the probability of gains. There were individual differences on the extent of this difference in probability weights between risk and attractiveness judgments.