In our laboratory, we study and develop exercise prescription models in order to improve health, psychological, and performance outcomes. We focus on personalized approaches that emphasize individual abilities and preferences. Currently, we are investigating if trainees can learn how to regulate the intensity of exercise based on their subjective experiences (e.g., perception of effort), and the effects of providing trainees with certain choices regarding the structure of the training sessions (e.g., selecting the number of repetitions). We implement a multi-disciplinary approach by drawing from a range of fields, including exercise physiology, psychology, and motor learning.
Rating of perceived effort scales
One of the most commonly used tools in exercise sciences is the rating of perceived effort scale. Despite its many benefits, we suspect that minor modifications of how trainees are being asked to report their effort can considerably influence their ratings. We are currently studying if this is indeed the case.