Effect of Road Conditions on Gaze-Control Interface in an Automotive Environment
This paper proposes an eye gaze based dashboard control interface for automotive environment so that drivers need not to take their hands off from steering wheel and control the dashboard only by looking at it. With the help of our smoothing and target prediction technology, we found that first time users could operate a dashboard using their eye gaze in approximately 2.5 s for each on-screen item selection in different road conditions. As part of the study we also found that average amplitude of saccadic intrusion is a good indicator of drivers’ perceived cognitive load.
KeywordsCognitive Load Secondary Task Track Condition Control Interface Mental Workload
- 2.Biswas P., Langdon P.: Multimodal intelligent eye-gaze tracking system. Int. J. Hum. Comput. Interact. 31(4), 277–294 (2015). Taylor & Francis, Print ISSN: 1044-7318Google Scholar
- 3.Poitschke, T., Laquai, F., Stamboliev S., Rigoll, G.: Gaze-based interaction on multiple displays in an automotive environment. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 543–548 (2011). ISSN: 1062-922XGoogle Scholar
- 4.Tokuda S., Obinata G., Palmer E., Chaparo A.: Estimation of mental workload using saccadic eye movements in a free-viewing task. In: 23rd International Conference of the IEEE EMBS, pp. 4523–4529 (2011)Google Scholar