The perceptions of expert coaches about effective leadership in sport

Research on effective leadership in sport has identified a number of characteristics and situations that impact on coaching effectiveness. These include coach effect on athlete satisfaction and performance, self-esteem and trait anxiety. This research has focused on athletes' perceptions of or preferences for specific leadership behaviors and actual coach behaviors identified by observing coaches. Few studies have recognized the views of the expert coach as a potentially valuable source of information regarding effective leadership and the coaching process. The present study investigated expert coaches' perception and interpretation of the leadership process. Twenty successful coaches working with Australian junior elite sport participants were purposefully sampled to cover a diversity of sports (team and individual) and provide a gender balance across sports. Through in-depth interviews, based on Grounded Theory, the study examined three aspects of coaching, which provided the basis of the interview guide. These were coaching history and influences, effective coaching behaviors, and coach training and accreditation. Eight major themes emerged: (a) influence of history on coaching behaviors, (b) knowledge of the sport, (c) pedagogy skills, (d) coaches' personal qualities, (e) coach-athlete relationships, (f) coaches' evaluation of the athlete, (g) coach and athlete outcomes, and (h) enjoyment of the coaching process. The results highlight the important role coaches play in future coach development, the impact of coach self-efficacy attributed to athlete self-efficacy, and how coach-related outcomes drive the coaching process. These results have noteworthy implications for coach education programs.

Simulating autonomous robot teams with Microsoft robotics studio

This paper presents an application of Microsoft Robotics Studio (MSRS) in which a team of six four wheel drive, ground based robots explore and map simulated terrain. The user has the ability to modify the terrain and assign destination objectives to the team while the simulation is running. The terrain is initially generated using a gray scale image, in which the intensity of each pixel in the image gives an altitude datum. The robots start with no knowledge of their surroundings, and map the terrain as they attempt to reach user-defined target objectives. The mapping process simulates the use of common sensory hardware to determine datum points, including provision for field of view, detection range, and measurement accuracy. If traversal of a mapped area is indicated by the users’ targeting commands, path planning heuristics developed for MSRS by the author in earlier work are used to determine an efficient series of waypoints to reach the objective. Mutability of terrain is also explored- the user is able to modify the terrain without stopping the simulation. This forces the robots to adapt to changing environmental conditions, and permits analysis of the robustness of mapping algorithms used when faced with a changing world.