Unwilling or willing but unable: can horses interpret human actions as goal directed?

Animal Cognition - Social animals can gain important benefits by inferring the goals behind the behavior of others. However, this ability has only been investigated in a handful of species outside...     

Cetacean responses to violation of expectation paradigm in a free-swim context

Animal Cognition - The investigation of individual responses to unexpected stimuli or outcomes provides insights into basic cognitive processes, such as mental representations, emotional states of...     

Exploring the Role of Sport Sense of Community in Perceived Athlete Burnout,Sport Motivation,and Engagement

The main purpose of this work was to examine the relationships between the sport sense of community, athlete burnout, engagement, and motivation in adolescent athletes, adopting a longitudinal perspective, and using both person- and variable-centred approaches. A total of 250 adolescent athletes were involved in the study. Athletes' perceptions of burnout, engagement and motivation significantly differed across two different clusters: high and low sport sense of community profiles. Consistent with our hypothesis, sport sense of community dimensions (i.e., satisfaction of needs and influence) negatively predicted athlete burnout and controlled motivation, and positively predicted engagement and autonomous motivation six months later.

Lay Summary: Athlete burnout is associated with negative consequences for athletes’ well-being, whereas engagement reflects a positive state. The sport sense of community refers to the athletes’ relationship with their sport environment. In this study, we provided preliminary evidence of the protective role of the sport sense of community on athlete burnout.     

Negative Correlations between Control Performance and Verbalizable Knowledge: Indicators for Implicit Learning in Process Control Tasks?

Negative correlations between task performance in dynamic control tasks and verbalizable knowledge, as assessed by a post-task questionnaire, have been interpreted as dissociations that indicate two antagonistic modes of learning, one being “explicit”, the other “implicit”. This paper views the control tasks as finite-state automata and offers an alternative interpretation of these negative correlations. It is argued that “good controllers” observe fewer different state transitions and, consequently, can answer fewer post-task questions about system transitions than can “bad controllers”. Two experiments demonstrate the validity of the argument by showing the predicted negative relationship between control performance and the number of explored state transitions, and the predicted positive relationship between the number of explored state transitions and questionnaire scores. However, the experiments also elucidate important boundary conditions for the critical effects. We discuss the implications of these findings, and of other problems arising from the process control paradigm, for conclusions about implicit versus explicit learning processes.