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Attentional Capacity and Clinical Performance: Eye Tracking Cardiologists Performing Simulated Coronary Angiography

Currie, Jonathan, Bond, Raymond R, McCullagh, P. J., Black, Pauline, Finlay, Dewar, Gallagher, Stephen, Gallagher, Anthony and Kearney, Peter (2016) Attentional Capacity and Clinical Performance: Eye Tracking Cardiologists Performing Simulated Coronary Angiography. In: Irish Human Computer Interaction Conference, Cork. iHCI. 1 pp. [Conference contribution]

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URL: https://irishhci2016.wordpress.com/poster-abstracts/

Abstract

Simulation-based training is driven by patient safety and Kohn’s 2000 report ‘To Err is Human’ revealing up to 96,000 patients die every year (USA) due to medical error. Computer-based simulation has been proven to produce a superior skill set with less errors and better transfer of training in general surgeons. Eye tracking features recently have shown to discriminate between novices and experts in surgical settings. An aspect of performance yet to be analysed is attentional capacity (AC) and the corresponding visual attention (VA) from eye tracking. A PhD level study has been designed to capture visual attention during attempts of simulated coronary angiography while AC is tested. The Initial pilot study will recruit eight registrars and consultants. We hypothesise that VA is linked with AC and that expert surgeons will demonstrate higher capacity when tested.The recording will take place in the ASSERT Centre, University College Cork, using a high-fidelity simulation suite. Participants perform a coronary angiography case twice alongside an additional task to measure AC. The task requires checking a supplementary display monitor and responding to playing cards when they appear. This added task acts as a measure of their AC. Primary outcomes will involve statistical analysis performed to determine the relationship between (1) AC and surgical performance, (2) VA and AC. If found that predictive metrics exist for good/bad performances at surgical tasks, that will have implications for research areas of Applied Computing, Human Factors and Human Computer Interaction with interventional cardiology. Wearable technology creates the opportunity for cost-effective assessment that provides insight to the trainee psychophysiology. This could predict task performance, including errors, uncertainty and more. This combined with machine learning algorithms could produce accurate computer automated assessment in training.

Item Type:Conference contribution (Poster)
Keywords:Cardiology, human computer interaction, HCI, cognitive psychology, wearable computing, psychophysiology, attentional capacity, catheterisation, Cath Lab, interventional cardiology, eye Tracking, simulation
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Computing & Engineering > School of Engineering
Faculty of Life and Health Sciences > School of Nursing
Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Psychology
Research Institutes and Groups:Psychology Research Institute > Behavioural Neuroscience and Behaviour Analysis
Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Psychology Research Institute
ID Code:36238
Deposited By: Dr Raymond Bond
Deposited On:16 Nov 2016 11:40
Last Modified:17 Oct 2017 16:26

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