Evaluation of human motor coordination for more precise fatigue measurement for 3D spatial gesture interaction design

Benefits of immersive three-dimensional (3D) applications are enhanced by effective 3D interaction techniques. Gesture-based interaction is a 3D interaction technique that has increased utility among these applications. However, users report higher fatigue than other interaction solutions. To improve gesture design, there is a need to determine the attributing causes. When evaluating gesture techniques, fatigue is commonly measured subjectively. Self-reported measures can be reliably used, however lacks precision, consistency and depth in the values reported. What are the more subtle aspects of arm movement that can attribute fatigue? We are faced with the question, how can we better measure fatigue? With more precise information, contributing factors in the design elements could be more easily identified and result in design guidelines to remedy the issues. Objective measures are expensive and may be cumbersome for the user. In this research, we propose a new way of measuring and explaining the contributors of fatigue in gesture interaction. Our approach uses the understanding of human motor coordination and provides more detailed information of the attributing causes, leading to design guidelines for gesture-based interaction sets.