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    Improving Eye Gaze Controlled Car Dashboard using Simulated Annealing

    HCI 2017 - Digital make-believe

    Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)

    University of Sunderland, St Peter’s campus, Sunderland, UK, 3 - 6 July 2017


    Pradipta Biswas, Gowdham Prabhakar, J. Rajesh, Kavesh Pandit & Ankit Halder



    This paper proposes and evaluates a new algorithm to improve performance of pointing and selec-tion tasks in an eye gaze controlled graphical user interface in automotive environment. The algo-rithm aims to reduce number of wrong selection of targets due to inaccuracy of either the eye gaze tracker or the calibration routine. The proposed method does not require changing layout of the inter-face rather puts a set of hotspots on clickable targets using Simulated Annealing algorithm. A couple of user studies involving a driving simulator and ISO 26022 lane changing task found that the pro-posed method can reduce number of wrong selection and can also improve driving performance compared to an existing touchscreen system.


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