Abstract
Products, customers and service are intimately connected, even in the realm of video sports games. As the media reminds us, the lack of sufficient exercise has become a crucial health concern, even though most people know that regular moderate exercise can promote good physical conditions and help prevent disease. Therefore this research investigates Kinect Sports, an interactive technology tool for health management (product) that involves a simulated sports environment for its users (customers). Kinect’s goal is to help users achieve an effective exercise level that provides them with a high level of satisfaction (service). However, many Kinect users are unaware of whether or not they achieve an effective exercise level. Therefore, this study presents a logistic regression model to detect the effectiveness of exercise and to provide sport service recovery suggestions when effective exercise is not achieved. An empirical study demonstrates the proposed methodology. We collected and analyzed both objective physiological data (e.g., heart rate, blood pressure) and subjective psychological data (e.g., ratings of perceived exertion). Results show the effectiveness of our model which can help users determine the effectiveness of their individual exercise with Kinect, generating uniquely suited guidelines in accordance with different levels of exercise effectiveness.