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Effect of Road Conditions on Gaze-Control Interface in an Automotive Environment

  • Pradipta Biswas
  • Varun Dutt
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9178)

Abstract

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.

Keywords

Cognitive Load Secondary Task Track Condition Control Interface Mental Workload 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.University of CambridgeCambridgeUK
  2. 2.Indian Institute of TechnologyMandiIndia

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