The effects of goal involvement on moral behavior in an experimentally manipulated competitive setting

In this experiment we examined the effects of task and ego involvement on three measures of moral behavior-prosocial choice, observed prosocial behavior, and observed antisocial behavior-in a competitive setting. We also investigated sex differences in moral behavior. Male (n = 48) and female (n = 48) college students were randomly assigned to a task-involving, an ego-involving, or a control condition. Participants played two 10-min games of table soccer and completed measures of prosocial choice, goal involvement, goal orientation, and demographics. The two games were recorded, and frequencies of prosocial and antisocial behavior were coded. Players assigned to the task-involving condition were higher in prosocial choice than those in the ego-involving or control conditions. Individuals in the ego-involving condition displayed more antisocial behaviors than those in the task-involving or control conditions. Finally, females displayed more prosocial behaviors than males

Deep learning for video game playing

In this article, we review recent Deep Learning advances in the context of how they have been applied to play different types of video games such as first-person shooters, arcade games, and real-time strategy games. We analyze the unique requirements that different game genres pose to a deep learning system and highlight important open challenges in the context of applying these machine learning methods to video games, such as general game playing, dealing with extremely large decision spaces and sparse rewards

A case study of technical change and rehabilitation: Intervention design and interdisciplinary team interaction

The design of effective interventions in sport psychology often requires a subtle blend of techniques, tailored to meet the client’s specific needs. Input from a variety of disciplinary support specialists, working as a team, is also frequently needed. Accordingly, this study investigated an interdisciplinary team approach to the technical change and rehabilitation of an elite weight lifter following injury; necessitating the avoidance of regression when performing under competitive pressure. Multiple coaching approaches were used and complimented by targeting specific mental skills. Kinematic analyses indicated progressive technical, and subsequently permanent, change even after 2 years. Self-report measures of self-efficacy and imagery use were deemed essential in facilitating the change. Finally, a discussion focuses on the intervention’s multifactorial nature, its application within high performance coaching, and how this may advise future research into the refinement of already existing and well-established skills