An Investigation Of Speed Accuracy Tradeoff With Temporal Constraint And Haptic Feedback

An important research branch of human-computer interaction is to develop predictive models for human performance in fundamental interaction tasks, such as the widely used Fitts’s Law. In recent years with the development of the force feedback technology and equipment, the application of force feedback devices is becoming more popular, such as virtual surgery, virtual assembly, virtual training and so on. Despite the growth of the application, there are only very few guiding principles the force feedback interact technology. Therefore in this paper, we investigate the human performance of fundamental movement, putting the emphasis on how the haptic feedback and associated factors affect the result of speed-accuracy tradeoff in trajectory-based tasks with temporal constraint. The result of this research is expected to provide some references to the follow-up research of force feedback interaction.In this research, we first ran a study that twenty-one subjects participated, three subjects involved in the pilot study to determine the experiment parameter, the remaining eighteen subjects participated the formal study to generate the experimental data. In the formal study, we mainly investigates the effects of haptic spring stiffness, tunnel amplitude, tunnel width, movement time goal and temporal error tolerance on actual movement time, error rate and standard deviation of the trajectory in trajectory-based tasks with temporal constraint. Especially we focused on the impact of standard deviation of the above five factors. According to the analysis of the experimental data, a quantitative model is proposed and validated to predict the task accuracy in term of standard deviation of the trajectory.Finally, we design a passive mode haptic feedback calligraphy system, and validated the proposed model can accurately predict the standard deviation of the calligraphy trajectory. The proposed model can be used effectively to predict the standard deviation of the trajectory in trajectory-based tasks with temporal constraint.