Specifying a Human Performance Technology Knowledgebase

The mission of human performance technologists, to assure high levels of human performance in organizations, is well established, and usually accomplished through design and implementation of two major products: performance systems and instructional systems. The speed of change in the environments in which HPT is practiced, however, requires frequent analysis of what knowledge and skills are required of HP technologists in pursuit of this goal. This article works backward from results and the products that obtained them, to identify the knowledge, skills, and attitudes that form the critical human performance technology knowledgebase. The author uses an example from our “universal” neighborhood to illustrate seven basic categories of variables influencing organizational performance, and provides examples and non examples of five essential principles of psychology that can help guide HPT practitioners' efforts to design and implement effective systems.     

False-performance feedback does not affect punching forces and pacing of elite boxers

Prior research indicates that providing participants with positive augmented feedback tends to enhance motor learning and performance, whereas the opposite occurs with negative feedback. However, the majority of studies were conducted with untrained participants performing unfamiliar motor tasks and so it remains unclear if elite athletes completing familiar tasks respond in a similar fashion. Thus, this study investigated the effects of three different versions of false-performance feedback on punching force (N), pacing (force over time) and ratings of perceived exertion (RPE) in 15 elite amateur male boxers. Athletes completed a simulated boxing bout consisting of three rounds with 84 maximal effort punches delivered to a punching integrator on four separate days. Day one was a familiarisation session in which no feedback was provided. In the following three days athletes randomly received false-positive, false-negative and false-neutral feedback on their punching performance between each round. No statistical or meaningful differences were observed in punching forces, pacing or RPE between conditions (P > 0.05; ≤ 2%). These null results could stem from the elite status of the athletes involved, the focus on performance rather than learning, or they may indicate that false feedback has a less potent effect on performance than previously thought.     

Acknowledgements

Acknowledgement

Acknowledgements     

Heart rates of high school physical education students during team sports, individual sports, and fitness activities

This study examined how activity type influenced heart rates and time spent in target heart rate zones of high school students participating in physical education classes. Significantly higher average heart rates existed for fitness (142 +/- 24 beats per minute [bpm]) compared to team (118 +/- 24 bpm) or individual (114 +/- 18) activities. Similar results occurred for the percentage of activity time spent within a target heart rate zone (fitness 81.7 +/- 15.9%, individual 68.4 +/- 30.5%, and team 60.6 +/- 30.5%). Boys attained higher heart rates during team activities, while female students had higher rates during individual activities indicating male and female adolescents respond differently to activity types. The highest mean heart rates were observed during fitness activities.