A longitudinal examination of coach and peer motivational climates in youth sport: implications for moral attitudes, well-being, and behavioral investment

Embedded in achievement goal theory (Ames, 1992; Meece, Anderman, & Anderman, 2006), this study examined how perceptions of coach and peer motivational climate in youth sport predicted moral attitudes, emotional well-being, and indices of behavioral investment in a sample of British adolescents competing in regional leagues. We adopted a longitudinal perspective, taking measures at the middle and the end of a sport season, as well as at the beginning of the following season. Multilevel modeling analyses showed that perceptions of task-involving peer and coach climates were predictive of more adaptive outcomes than were perceptions of ego-involving peer and coach climates. Predictive effects differed as a function of time and outcome variable under investigation. The results indicate the importance of considering peer influence in addition to coach influence when examining motivational climate in youth sport.     

Perceptual grouping in haptic search: The influence of proximity, similarity, and good continuation

We conducted a haptic search experiment to investigate the influence of the Gestalt principles of proximity, similarity, and good continuation. We expected faster search when the distractors could be grouped. We chose edges at different orientations as stimuli because they are processed similarly in the haptic and visual modality. We therefore expected the principles of similarity and good continuation to be operational in haptics as they are in vision. In contrast, because of differences in spatial processing between vision and haptics, we expected differences for the principle of proximity. In haptics, the Gestalt principle of proximity could operate at two distinct levels-somatotopic proximity or spatial proximity-and we assessed both possibilities in our experiments. The results show that the principles of similarity and good continuation indeed operate in this haptic search task. Neither of our proximity manipulations yielded effects, which may suggest that grouping by proximity must take place before an invariant representation of the object has formed. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

Usability,aesthetics and emotions in human–technology interaction

In the past, research on human–technology interaction has almost exclusively concentrated on aspects of usefulness and usability. Despite the success of this line of research, its narrow perspective has recently become a target for criticism. To explain why people prefer some systems over others, factors such as aesthetic qualities and emotional experiences play an important role in addition to instrumental aspects. In the following, we report three experiments that illustrate the importance of such factors. In the first experiment, we study the role of emotions in human–technology interaction by using Scherer's ( 1984 1984) component theory of emotions as a theoretical foundation. A combination of methods is derived from that theory and employed to measure subjective feelings, motor expressions, physiological reactions, cognitive appraisals, and behaviour. The results demonstrate that the manipulation of selected system properties may lead to differences in usability that affect emotional user reactions. The second experiment investigates the interplay of instrumental and non-instrumental system qualities. The results show that users' overall appraisal of a technical device is influenced by both groups of qualities. In the third experiment, we join the approaches of the first two studies to analyse the influence of usability and aesthetics within a common design. The results indicate that systems differing in these aspects affect the perception of instrumental and non-instrumental qualities as well as the users' emotional experience and their overall appraisal of the system. Summarizing our results, we present a model specifying three central components of user experience and their interrelations (CUE-Model). The model integrates the most important aspects of human–technology interaction and hints at a number of interesting issues for future research.     

Counting does not improve the accuracy of long time productions

Attention, Perception, & Psychophysics - It is common to use counting strategies to produce time intervals accurately. Does counting improve the accuracy (deviation of produced duration from...     

Das Leben der Wildente in der Zeit der Paarung

Ohne Zusammenfassung