Assessment of the users emotions in haptic feedback tasks using the Emotiv Insight device

Introduction- This study assesses the five-performance metrics, available on the Emotive Insight device in a virtual toolpath tracking task through a mobile robot. Objective- Characterize and/or determine if some EEG metrics are related to primitives of a teleoperation task, where haptic feedback is provided, in order to verify if it can be useful to incorporate the information available from the Emotiv device in a shared control strategy. Methodology- An experimental design was formulated, which includes the recording and analysis of neurosigns in five users with a Brain Computer Interface (BCI), executing tasks of teleoperation of a mobile robot in the Environment of VREP (Virtual Robot Experimentation Platform). Results- The results show that engagement and relaxation are emotions that could be useful to identify demanding situations in tracking path and evasion of obstacles such as the experimental setup proposed in this article. On the other hand, it is observed that some metrics such as stress, excitement, interest and focus, on average, remain at similar levels during the task execution. Conclusions- Including brain computer interfaces of low-cost, such as the Emotiv in tasks with haptic feedback, offers new possibilities for assessment user performance and potential for control applications.