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Improving eye gaze controlled car dashboard using simulated annealing

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This talk presents a new algorithm to improve performance of pointing and selection tasks in an eye gaze controlled graphical user interface in automotive environment. The algorithm 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 interface 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 proposed method can reduce number of wrong selection and can also improve driving performance compared to an existing touchscreen system. The talk will also briefly present exploitation of the technology in military aviation and smart manufacturing environments.

This talk is part of the Engineering Design Centre Seminars series.

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