Using Eye-Tracking Technology to Capture Visual Attention during Interpretation of a Simulated Bedside Monitor

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

Abstract

Eye-Tracking technology is a tool for collecting data on a person’s visual attention and is suitable for psychological and physiological studies (e.g. reading and psychological response studies). The data captured can provide us a number of statistics regarding the participant’s interaction with stimuli. With selected areas of interest within visual stimuli provided to the participant, we can take numerous measurements (e.g. the time taken to first fixation, the total number of fixations, the total duration of all fixations etc.) The technology has already been used within healthcare-related research with positive outcomes in distinguishing patterns and metrics among different groups of users. Our hypothesis is that this data can be used to infer the competency of interpreters of clinical bedside monitors. A PhD study has been designed to capture the eye gaze and scan-path of nurses with mixed levels of expertise (nursing undergraduates to practicing nurses) whilst they interpret a simulated bedside monitor. During this recording, they will verbalise their interpretation and they will be given a score according to set criteria (validated by nursing experts at Ulster University). We expect this data when analysed will show quantitative differences that distinguish users as experts, competent and lacking competency. The captured data can be transformed into metrics for determining proficiency whilst reading and interpreting vital signs on a bedside monitor. These could be used within patient monitoring training as another form of assessment during a simulation.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages1
Publication statusPublished - 23 Oct 2015
EventIrish Human Computer Interaction - Dublin
Duration: 23 Oct 2015 → …

Conference

ConferenceIrish Human Computer Interaction
Period23/10/15 → …

Fingerprint

Reading
Nursing
Nurses
Psychology
Technology
Clinical Competence
Vital Signs
Health Services Research
Physiologic Monitoring

Keywords

  • Nursing
  • Health Informatics
  • Eye tracking

Cite this

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title = "Using Eye-Tracking Technology to Capture Visual Attention during Interpretation of a Simulated Bedside Monitor",
abstract = "Eye-Tracking technology is a tool for collecting data on a person’s visual attention and is suitable for psychological and physiological studies (e.g. reading and psychological response studies). The data captured can provide us a number of statistics regarding the participant’s interaction with stimuli. With selected areas of interest within visual stimuli provided to the participant, we can take numerous measurements (e.g. the time taken to first fixation, the total number of fixations, the total duration of all fixations etc.) The technology has already been used within healthcare-related research with positive outcomes in distinguishing patterns and metrics among different groups of users. Our hypothesis is that this data can be used to infer the competency of interpreters of clinical bedside monitors. A PhD study has been designed to capture the eye gaze and scan-path of nurses with mixed levels of expertise (nursing undergraduates to practicing nurses) whilst they interpret a simulated bedside monitor. During this recording, they will verbalise their interpretation and they will be given a score according to set criteria (validated by nursing experts at Ulster University). We expect this data when analysed will show quantitative differences that distinguish users as experts, competent and lacking competency. The captured data can be transformed into metrics for determining proficiency whilst reading and interpreting vital signs on a bedside monitor. These could be used within patient monitoring training as another form of assessment during a simulation.",
keywords = "Nursing, Health Informatics, Eye tracking",
author = "Jonathan Currie and Raymond Bond and Paul McCullagh and Pauline Black and Dewar Finlay",
year = "2015",
month = "10",
day = "23",
language = "English",
booktitle = "Unknown Host Publication",

}

Using Eye-Tracking Technology to Capture Visual Attention during Interpretation of a Simulated Bedside Monitor. / Currie, Jonathan; Bond, Raymond; McCullagh, Paul; Black, Pauline; Finlay, Dewar.

Unknown Host Publication. 2015.

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

TY - GEN

T1 - Using Eye-Tracking Technology to Capture Visual Attention during Interpretation of a Simulated Bedside Monitor

AU - Currie, Jonathan

AU - Bond, Raymond

AU - McCullagh, Paul

AU - Black, Pauline

AU - Finlay, Dewar

PY - 2015/10/23

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N2 - Eye-Tracking technology is a tool for collecting data on a person’s visual attention and is suitable for psychological and physiological studies (e.g. reading and psychological response studies). The data captured can provide us a number of statistics regarding the participant’s interaction with stimuli. With selected areas of interest within visual stimuli provided to the participant, we can take numerous measurements (e.g. the time taken to first fixation, the total number of fixations, the total duration of all fixations etc.) The technology has already been used within healthcare-related research with positive outcomes in distinguishing patterns and metrics among different groups of users. Our hypothesis is that this data can be used to infer the competency of interpreters of clinical bedside monitors. A PhD study has been designed to capture the eye gaze and scan-path of nurses with mixed levels of expertise (nursing undergraduates to practicing nurses) whilst they interpret a simulated bedside monitor. During this recording, they will verbalise their interpretation and they will be given a score according to set criteria (validated by nursing experts at Ulster University). We expect this data when analysed will show quantitative differences that distinguish users as experts, competent and lacking competency. The captured data can be transformed into metrics for determining proficiency whilst reading and interpreting vital signs on a bedside monitor. These could be used within patient monitoring training as another form of assessment during a simulation.

AB - Eye-Tracking technology is a tool for collecting data on a person’s visual attention and is suitable for psychological and physiological studies (e.g. reading and psychological response studies). The data captured can provide us a number of statistics regarding the participant’s interaction with stimuli. With selected areas of interest within visual stimuli provided to the participant, we can take numerous measurements (e.g. the time taken to first fixation, the total number of fixations, the total duration of all fixations etc.) The technology has already been used within healthcare-related research with positive outcomes in distinguishing patterns and metrics among different groups of users. Our hypothesis is that this data can be used to infer the competency of interpreters of clinical bedside monitors. A PhD study has been designed to capture the eye gaze and scan-path of nurses with mixed levels of expertise (nursing undergraduates to practicing nurses) whilst they interpret a simulated bedside monitor. During this recording, they will verbalise their interpretation and they will be given a score according to set criteria (validated by nursing experts at Ulster University). We expect this data when analysed will show quantitative differences that distinguish users as experts, competent and lacking competency. The captured data can be transformed into metrics for determining proficiency whilst reading and interpreting vital signs on a bedside monitor. These could be used within patient monitoring training as another form of assessment during a simulation.

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BT - Unknown Host Publication

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