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

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).

Content

Author and article information

Contributors

Hannah Torney

Adam Harvey

Dewar Finlay

Justin Magee

Rebecca Funston

Raymond Bond

Conference

Publication date: July 2018

Publication date (Print): July 2018

Pages: 1-7

Affiliations

[1 ] School of Computing

Ulster University

Newtownabbey, UK

[2 ] HeartSine Technologies Ltd.

Airport Road West, Belfast, UK

[3 ] Belfast School of Art

Ulster University

Belfast, UK

Article

DOI: 10.14236/ewic/HCI2018.42

SO-VID: 2de21649-b008-4d0b-8d26-f6836535d20f

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference

Conference acronym: HCI

Conference number: 32

Conference location: Belfast, UK

Conference date: 4 - 6 July 2018

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction Conference

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.42

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

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Apple(2017 UI Design Do’s and Don’ts - Apple Developer Available at: http://developer.apple.com/design/tips/ (Accessed: 7 March 2018)
R. R. Bond 2014 „Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: An objective quantitative approach‟ Journal of Electrocardiology Elsevier Inc 47 6 895 906 doi: 10.1016/j.jelectrocard.2014.07.011
BSI: British Standards(2012 „BS EN ISO 14971:2012: Application of Risk Management to Medical Devices‟
J. Currie 2017 „Eye Tracking the Visual Attention of Nurses Interpreting Simulated Vital Signs Scenarios: Mining Metrics to Discriminate Between Performance Level‟ IEEE Transactions on Human-Machine Systems 1 12 doi: 10.1109/THMS.2017.2754880
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A. T. Duchowski 2003 Eye Tracking Methodology: Theory and Practice Springer doi: 10.1007/978-3-319-57883-5
C. Hawkes 2017 „Attitudes to CPR and public access defibrillation: A survey of the UK public‟ Resuscitation Elsevier Ireland Ltd 118 e39 doi: 10.1016/j.resuscitation.2017.08.101
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U.S. Department of Health and Human Services 2016 Applying Human Factors and Usability Engineering to Optimize Medical Device Design, FDA Guidance for Industry doi: 10.1177/1071181311551334

Comments

Comment on this article

[1] A. D. Andre 2004 „Automated external defibrillator use by untrained bystanders: Can the public-use model work?‟ Prehospital Emergency Care 8 3 284 291 doi: 10.1016/j.prehos.2004.02.004

[2] Apple(2017 UI Design Do’s and Don’ts - Apple Developer Available at: http://developer.apple.com/design/tips/ (Accessed: 7 March 2018)

[3] R. R. Bond 2014 „Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: An objective quantitative approach‟ Journal of Electrocardiology Elsevier Inc 47 6 895 906 doi: 10.1016/j.jelectrocard.2014.07.011

[4] BSI: British Standards(2012 „BS EN ISO 14971:2012: Application of Risk Management to Medical Devices‟

[5] J. Currie 2017 „Eye Tracking the Visual Attention of Nurses Interpreting Simulated Vital Signs Scenarios: Mining Metrics to Discriminate Between Performance Level‟ IEEE Transactions on Human-Machine Systems 1 12 doi: 10.1109/THMS.2017.2754880

[6] Design Council UK(2015 The ethics of digital design, Design Council UK Available at: http://www.designcouncil.org.uk/news-opinion/ethics-digital-design (Accessed: 27 March 2018)

[7] A. T. Duchowski 2003 Eye Tracking Methodology: Theory and Practice Springer doi: 10.1007/978-3-319-57883-5

[8] C. Hawkes 2017 „Attitudes to CPR and public access defibrillation: A survey of the UK public‟ Resuscitation Elsevier Ireland Ltd 118 e39 doi: 10.1016/j.resuscitation.2017.08.101

[9] I. Jackson 2008 „Gestalt-A Learning Theory for Graphic Design Education‟ International Journal of Art & Design Education 27 1 63 69 doi: 10.1111/j.1476-8070.2008.00558.x

[10] M. P. Larsen 1993 „Predicting survival from out-of-hospital cardiac arrest: A graphic model‟ Annals of Emergency Medicine 22 11 1652 1658 doi: 10.1016/S0196-06440581302-2

[11] L. McLaughlin 2017 „Computing eye gaze metrics for the automatic assessment of radiographer performance during X-ray image interpretation‟ International Journal of Medical Informatics Elsevier Ireland Ltd 105 11 21 doi: 10.1016/j.ijmedinf.2017.03.001

[12] Microsoft(2013 „Microsoft design principles‟ Available at: http://www.microsoft.com/en-us/design (Accessed: 7 March 2018)

[13] M. MulvennaJ. BogerR. Bond 2017 „Ethical by Design‟, in Proceedings of the European Conference on Cognitive Ergonomics 2017 -ECCE 2017 51 54 doi: 10.1145/3121283.3121300

[14] D. A. Norman 1986 „Cognitive engineering‟ User centered system design 31 61

[15] G. D. PerkinsS. J. Brace-McDonnell 2015 „The UK out of Hospital Cardiac Arrest Outcome (OHCAO) project‟ BMJ Open 5 10 doi: 10.1136/bmjopen-2015-008736

[16] M. Ringh 2015 „Survival after Public Access Defibrillation in Stockholm, Sweden - A striking success‟ RESUSCITATION 91 1 7 doi: 10.1016/j.resuscitation.2015.02.032

[17] U.S. Department of Health and Human Services 2016 Applying Human Factors and Usability Engineering to Optimize Medical Device Design, FDA Guidance for Industry doi: 10.1177/1071181311551334

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