Seeing is interpreting: An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Introduction: This study investigated eye tracking technology for 12 lead electrocardiography interpretation to Healthcare Scientist students.Methods: Participants (n=33) interpreted ten 12 lead ECG recordings and randomised to receive objective individual appraisal on their efforts either by traditional didactic format or by eye tracker software.Results: 100% of participants reported the experience positively at improving their ECG interpretation competency. ECG analysis time ranged between 13.2 – 59.5secs. The rhythm strip was the most common lead studied and fixated on for the longest duration (mean 9.9secs). Lead I was studied for the shortest duration (mean 0.25secs). Feedback using eye tracking data during ECG interpretation did not produce any significant variation between the assessment marks of the study and the control groups (p=0.32). .Conclusions: Although the hypothesis of this study was rejected active teaching and early feedback practices are recommended within this discipline.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages1
Publication statusPublished - 8 Dec 2014
EventAcademy for Healthcare Science -
Duration: 8 Dec 2014 → …

Conference

ConferenceAcademy for Healthcare Science
Period8/12/14 → …

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Biomedical Technology Assessment
Electrocardiography
Teaching
Software
Lead
Students
Technology
Delivery of Health Care
Control Groups

Cite this

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title = "Seeing is interpreting: An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation",
abstract = "Introduction: This study investigated eye tracking technology for 12 lead electrocardiography interpretation to Healthcare Scientist students.Methods: Participants (n=33) interpreted ten 12 lead ECG recordings and randomised to receive objective individual appraisal on their efforts either by traditional didactic format or by eye tracker software.Results: 100{\%} of participants reported the experience positively at improving their ECG interpretation competency. ECG analysis time ranged between 13.2 – 59.5secs. The rhythm strip was the most common lead studied and fixated on for the longest duration (mean 9.9secs). Lead I was studied for the shortest duration (mean 0.25secs). Feedback using eye tracking data during ECG interpretation did not produce any significant variation between the assessment marks of the study and the control groups (p=0.32). .Conclusions: Although the hypothesis of this study was rejected active teaching and early feedback practices are recommended within this discipline.",
author = "Cathal Breen and Raymond Bond and Dewar Finlay",
year = "2014",
month = "12",
day = "8",
language = "English",
booktitle = "Unknown Host Publication",

}

Seeing is interpreting: An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation. / Breen, Cathal; Bond, Raymond; Finlay, Dewar.

Unknown Host Publication. 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Seeing is interpreting: An evaluation of eye tracking technology in the assessment of 12 lead electrocardiography interpretation

AU - Breen, Cathal

AU - Bond, Raymond

AU - Finlay, Dewar

PY - 2014/12/8

Y1 - 2014/12/8

N2 - Introduction: This study investigated eye tracking technology for 12 lead electrocardiography interpretation to Healthcare Scientist students.Methods: Participants (n=33) interpreted ten 12 lead ECG recordings and randomised to receive objective individual appraisal on their efforts either by traditional didactic format or by eye tracker software.Results: 100% of participants reported the experience positively at improving their ECG interpretation competency. ECG analysis time ranged between 13.2 – 59.5secs. The rhythm strip was the most common lead studied and fixated on for the longest duration (mean 9.9secs). Lead I was studied for the shortest duration (mean 0.25secs). Feedback using eye tracking data during ECG interpretation did not produce any significant variation between the assessment marks of the study and the control groups (p=0.32). .Conclusions: Although the hypothesis of this study was rejected active teaching and early feedback practices are recommended within this discipline.

AB - Introduction: This study investigated eye tracking technology for 12 lead electrocardiography interpretation to Healthcare Scientist students.Methods: Participants (n=33) interpreted ten 12 lead ECG recordings and randomised to receive objective individual appraisal on their efforts either by traditional didactic format or by eye tracker software.Results: 100% of participants reported the experience positively at improving their ECG interpretation competency. ECG analysis time ranged between 13.2 – 59.5secs. The rhythm strip was the most common lead studied and fixated on for the longest duration (mean 9.9secs). Lead I was studied for the shortest duration (mean 0.25secs). Feedback using eye tracking data during ECG interpretation did not produce any significant variation between the assessment marks of the study and the control groups (p=0.32). .Conclusions: Although the hypothesis of this study was rejected active teaching and early feedback practices are recommended within this discipline.

M3 - Conference contribution

BT - Unknown Host Publication

ER -