I developed an HMI (Human Machine Interface) evaluation tool to record and analyse the cognitive load of a user performing any task which can be used for comparative studies. This tool calculates the ocular metrics and streams in the form of live graphs along with videos of eyes and scene camera. We can add participants as well as events and record data corresponding to selected participant and event. We can compare the performance of participants in corresponding events by analysing corresponding CSV (Comma Separated Values) files. We can compare different tasks in a single HMI or same task in different HMI by comparing cognitive load estimated by our system.

Publications:

• Prabhakar, G., Mukhopadhyay, A., Murthy, L., Modiksha, M., Sachin, D., & Biswas, P. (2020). Cognitive load estimation using ocular parameters in automotive. Transportation Engineering, 2, 100008, ISSN 2666-691X. DOI: 10.1016/j.treng.2020.100008