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    Eye-Tracking Analysis to Compute the Visual Hierarchy of User Interfaces on Automated External Defibrillators

    HCI 2018

    Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)

    Belfast, UK, 4 - 6 July 2018


    Hannah Torney, Adam Harvey, Dewar Finlay, Justin Magee, Rebecca Funston & Raymond Bond



    Sudden cardiac arrest (SCA) is a leading cause of death worldwide. It is treated with a defibrillating shock from an automated external defibrillator (AED) and cardiopulmonary resuscitation. AEDs are commonly used by minimally-trained rescuers to treat patients of SCA, and need to be designed to be intuitive to use. However, there are no guidelines or recommendations for the user interface design of these devices, and as such, there are obvious inconsistencies in the aesthetics and functionality, of AEDs currently on the market. This study was designed to assess the variability and determine the visual hierarchy of a range of public access AEDs. This was done by analysing the user’s eye gaze behaviour in 400 AED sense-making sessions (10 AEDs * 40 subjects/users).


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