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Eye tracking to investigate cue processing in medical decision-making: A scoping review
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“Therefore, the combination of eye-tracking with other methods is necessary [21,47,50].”
From Impact of Think-Aloud on Eye-Tracking: A Comparison of Concurrent and Retrospective Think-Aloud for Research on Decision-Making in the Game Environment (2020) · cites this paper as [50]
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“Eye-tracking cannot reveal by far all aspects of the decision-making [50], because it is not entirely clear if humans comprehend the information they watch [51], and whether watched information is incorporated into the decision-making process [52].”
From Impact of Think-Aloud on Eye-Tracking: A Comparison of Concurrent and Retrospective Think-Aloud for Research on Decision-Making in the Game Environment (2020) · cites this paper as [50]
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Citations
Cites
Scoping studies: advancing the methodology
Levac, D., Colquhoun, H., & O'Brien, K. K. (2010) · Implementation Science · doi:10.1186/1748-5908-5-69 · Cited by 15,268
The Importance of Cognitive Errors in Diagnosis and Strategies to Minimize Them
Croskerry, P. (2003) · Academic Medicine · doi:10.1097/00001888-200308000-00003 · Cited by 1,675
Top-down versus bottom-up attentional control: a failed theoretical dichotomy
Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.06.010 · Cited by 1,557
A Universal Model of Diagnostic Reasoning
Croskerry, P. (2009) · Academic Medicine · doi:10.1097/acm.0b013e3181ace703 · Cited by 1,016
Eye tracking in HCI and usability research
Poole, A., & Ball, L. J. (2006) · Encyclopedia of Human Computer Interaction · doi:10.4018/978-1-59140-562-7.ch034 · Cited by 690 · cited 1×
“From these two basic metrics additional metrics are derived, as follows: (1) fixationderived metrics, (2) saccade-derived metrics and (3) fixationsaccade-derived metrics (Poole & Ball, 2006).”
MethodWhy Verifying Diagnostic Decisions with a Checklist Can Help: Insights from Eye Tracking
Sibbald, M., de Bruin, A. B. H., Yu, E., & van Merrienboer, J. J. G. (2015) · Advances in Health Sciences Education · doi:10.1007/s10459-015-9585-1 · Cited by 36
Research works printed but not linked: 69
- Aitken, 2011, Comparison of ‘think aloud’and observation as data collection methods in the study of decision making regarding sedation in intensive care patients, International Journal of Nursing Studies, 48, 318, 10.1016/j.ijnurstu.2010.07.014 · DOI · Paper page
- Arksey, 2005, Scoping studies: Towards a methodological framework, International Journal of Social Research Methodology, 8, 19, 10.1080/1364557032000119616 · DOI · Paper page
- Atalay, 2012, Shining in the center: Central gaze cascade effect on product choice, Journal of Consumer Research, 39, 848, 10.1086/665984 · DOI · Paper page
- Atkins, 2013, What do surgeons see capturing and synchronizing eye gaze for surgery applications, Surgical Innovation, 20, 241, 10.1177/1553350612449075 · doi:10.1177/1553350612449075
- Balatsoukas, 2012, Verbal protocols for assessing the usability of clinical decision support: The retrospective sense making protocol, Studies in Health Technology and Informatics, 192, 283
- Balslev, 2012, Visual expertise in paediatric neurology, European Journal of Paediatric Neurology, 16, 161, 10.1016/j.ejpn.2011.07.004 · DOI
- Berbaum, 2001, Gaze dwell times on acute trauma injuries missed because of satisfaction of search, Academic Radiology, 8, 304, 10.1016/S1076-6332(03)80499-3 · doi:10.1016/s1076-6332(03)80499-3
- Blondon, 2014, Use of eye-tracking technology in clinical reasoning: A systematic review, Studies in Health Technology and Informatics, 210, 90
- 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, 47, 895, 10.1016/j.jelectrocard.2014.07.011 · DOI
- Brockmole, 2006, Recognition and attention guidance during contextual cueing in real-world scenes: Evidence from eye movements, The Quarterly Journal of Experimental Psychology, 59, 1177, 10.1080/17470210600665996 · DOI
- Browning, 2016, The use and limits of eye-tracking in high-fidelity clinical scenarios: A pilot study, International Emergency Nursing, 25, 43, 10.1016/j.ienj.2015.08.002 · doi:10.1016/j.ienj.2015.08.002
- Brunyé, 2014, Eye movements as an index of pathologist visual expertise: A pilot study, Plos One, 9, e103447, 10.1371/journal.pone.0103447 · DOI
- Buckingham, 2000, Classifying clinical decision making: A unifying approach, Journal of Advanced Nursing, 32, 981, 10.1046/j.1365-2648.2000.t01-1-01565.x · DOI
- Castelhano, 2009, Viewing task influences eye movement control during active scene perception, Journal of Vision, 9, 10.1167/9.3.6 · DOI · Paper page
- Clark, 2008, Mixed methods approaches in family science research, Journal of Family Issues, 29, 1543, 10.1177/0192513X08318251 · DOI
- Cooper, 2009, Radiology image perception and observer performance: How does expertise and clinical information alter interpretation? Stroke detection explored through eye-tracking, Vol. 7263
- Croskerry, 2008, Context is everything or how could I have been that stupid?, Healthcare Quarterly, 12, e171, 10.12927/hcq.2009.20945 · DOI
- Donald, 2012, Common patterns in 558 diagnostic radiology errors, Journal of Medical Imaging and Radiation Oncology, 56, 173, 10.1111/j.1754-9485.2012.02348.x · DOI
- Donovan, 2013, Looking for cancer: Expertise related differences in searching and decision making, Applied Cognitive Psychology, 27, 43, 10.1002/acp.2869 · DOI
- Eger, 2007, Cueing retrospective verbal reports in usability testing through eye-movement replay, Vol. 1, 129
- Fogarasi, 2012, Improving seizure recognition by visual reinforcement, Neurology, Psychiatry and Brain Research, 18, 1, 10.1016/j.npbr.2011.10.002 · DOI
- Follet, 2011, New insights into ambient and focal visual fixations using an automatic classification algorithm, Perception, 2, 592, 10.1068/i0414 · DOI
- Forsman, 2013, Integrated information visualization to support decision making for use of antibiotics in intensive care: Design and usability evaluation, Informatics for Health and Social Care, 38, 330, 10.3109/17538157.2013.812649 · DOI
- Foulsham, 2008, What can saliency models predict about eye movements? Spatial and sequential aspects of fixations during encoding and recognition, Journal of Vision, 8, 1, 10.1167/8.2.6 · DOI · Paper page
- Gegenfurtner, 2011, Expertise differences in the comprehension of visualizations: A meta-analysis of eye-tracking research in professional domains, Educational Psychology Review, 23, 523, 10.1007/s10648-011-9174-7 · DOI · Paper page
- Gidlöf, 2013, Using eye tracking to trace a cognitive process: Gaze behaviour during decision making in a natural environment, Journal of Eye Movement Research, 6, 1, 10.16910/jemr.6.1.3 · DOI
- Giovinco, 2015, A passing Glance? Differences in eye tracking and gaze patterns between trainees and experts reading plain film bunion radiographs, The Journal of Foot and Ankle Surgery, 54, 382, 10.1053/j.jfas.2014.08.013 · DOI
- Glaholt, 2011, Eye movement monitoring as a process tracing methodology in decision making research, Journal of Neuroscience, Psychology, and Economics, 4, 125, 10.1037/a0020692 · DOI
- Grundgeiger, 2010, Interruption management in the intensive care unit: Predicting resumption times and assessing distributed support, Journal of Experimental Psychology: Applied, 16, 317
- Hassebrock, 1992, A protocol-based coding scheme for the analysis of medical reasoning, International Journal of Man-Machine Studies, 37, 613, 10.1016/0020-7373(92)90026-H · DOI
- Henderson, 2003, Human gaze control during real-world scene perception, Trends in Cognitive Sciences, 7, 498, 10.1016/j.tics.2003.09.006 · DOI · Paper page
- Henneman, 2008, Providers do not verify patient identity during computer order entry, Academic Emergency Medicine, 15, 641, 10.1111/j.1553-2712.2008.00148.x · DOI
- Hermens, 2013, Eye movements in surgery: A literature review, Journal of Eye Movement Research, 6, 1, 10.16910/jemr.6.4.4 · DOI
- Hoffman, 2009, A comparison of novice and expert nurses' cue collection during clinical decision-making: Verbal protocol analysis, International Journal of Nursing Studies, 46, 1335, 10.1016/j.ijnurstu.2009.04.001 · DOI
- Jungk, 2000, Evaluation of two new ecological interface approaches for the anesthesia workplace, Journal of Clinical Monitoring and Computing, 16, 243, 10.1023/A:1011462726040 · DOI
- Kataoka, 2011, Effects of mental workload on nurses' visual behaviors during infusion pump operation, Japan Journal of Nursing Science, 8, 47, 10.1111/j.1742-7924.2010.00158.x · DOI
- Knudsen, 2007, Fundamental components of attention, Annual Reviews Neuroscience, 30, 57, 10.1146/annurev.neuro.30.051606.094256 · DOI · Paper page
- Koh, 2011, Differences in attentional strategies by novice and experienced operating theatre scrub nurses, Journal of Experimental Psychology-Applied, 17, 233, 10.1037/a0025171 · DOI
- Krupinski, 1996, Visual scanning patterns of radiologists searching mammograms, Academic Radiology, 3, 137, 10.1016/S1076-6332(05)80381-2 · DOI
- Krupinski, 2012, Do long radiology workdays affect nodule detection in dynamic CT interpretation?, Journal of the American College of Radiology, 9, 191e198, 10.1016/j.jacr.2011.11.013 · DOI
- Krupinski, 1998, Enhancing recognition of lesions in radiographic images using perceptual feedback, Optical Engineering, 37, 813, 10.1117/1.601914 · doi:10.1117/1.601914
- Krupinski, 2006, Eye-movement study and human performance using telepathology virtual slides. Implications for medical education and differences with experience, Human Pathology, 37, 1543, 10.1016/j.humpath.2006.08.024 · DOI · Paper page
- Kundel, 2007, Holistic component of image perception in mammogram interpretation: Gaze-tracking Study1, Radiology, 242, 396, 10.1148/radiol.2422051997 · DOI · Paper page
- Kundel, 2008, Using gaze-tracking data and mixture distribution analysis to support a holistic model, Academic Radiology, 15, 881, 10.1016/j.acra.2008.01.023 · DOI
- Litchfield, 2010, Viewing another person’s eye movements improves identification of pulmonary nodules in chest x-ray inspection, Journal of Experimental Psychology: Applied, 16, 251
- Mallett, 2014, Tracking eye gaze during interpretation of endoluminal three-dimensional CT Colonography: Visual perception of experienced and inexperienced readers, Radiology, 273, 783, 10.1148/radiol.14132896 · DOI
- Manning, 2004, Detection or decision errors? Missed lung from the posteroanterior chest radiograph, British Journal of Radiology, 77, 231, 10.1259/bjr/28883951 · DOI
- Manning, 2006, How do radiologists do it? The influence of experience and training on searching for chest nodules, Radiography, 12, 134, 10.1016/j.radi.2005.02.003 · DOI
- Matsumoto, 2011, Where do neurologists look when viewing brain ct images? an eye-tracking study involving stroke cases, Plos One, 6, e28928, 10.1371/journal.pone.0028928 · DOI
- Mello-Thoms, 2005, Effects of lesion conspicuity on visual search in mammogram reading, Academic Radiology, 12, 830, 10.1016/j.acra.2005.03.068 · doi:10.1016/j.acra.2005.03.068
- Nodine, 1987, Using eye movements to study visual search and to improve tumor detection, Radiographics, 7, 1241, 10.1148/radiographics.7.6.3423330 · DOI · Paper page
- Nodine, 2002, Time course of perception and decision making during mammographic interpretation, American Journal of Roentgenology, 179, 917, 10.2214/ajr.179.4.1790917 · DOI
- O'Neill, 2011, Gaze behavior among experts and trainees during optic disc examination: Does how we look affect what we see?, Investigative Ophthalmology & Visual Science, 52, 3976, 10.1167/iovs.10-6912 · doi:10.1167/iovs.10-6912
- Orquin, 2013, Attention and choice: A review on eye movements in decision making, Acta Psychologica, 144, 190, 10.1016/j.actpsy.2013.06.003 · DOI · Paper page
- Pescarini, 2006, Systematic approach to human error in radiology, La Radiologia Medica, 111, 252, 10.1007/s11547-006-0026-3 · doi:10.1007/s11547-006-0026-3
- Rayner, 2009, Eye movements and attention in reading, scene perception, and visual search, The Quarterly Journal of Experimental Psychology, 62, 1457, 10.1080/17470210902816461 · DOI · Paper page
- Rubin, 2014, Characterizing search, recognition, and decision in the detection of lung nodules on CT scans: Elucidation with eye tracking, Radiology, 274, 276, 10.1148/radiol.14132918 · DOI
- Schotter, 2012, Heuristics and criterion setting during selective encoding in visual decision making: Evidence from eye movements, Visual Cognition, 20, 1110, 10.1080/13506285.2012.735719 · DOI
- Shaban, 2015, Theories of clinical judgment and decision-making: A review of the theoretical literature, Australasian Journal of Paramedicine, 3, 1
- Srinath, 2015, Eye movement-based human-computer interaction techniques, International Journal of Innovation Technology Research, 156
- Stuijfzand, 2016, Medical students' cognitive load in volumetric image interpretation: Insights from human-computer interaction and eye movements, Computers in Human Behavior, 62, 394, 10.1016/j.chb.2016.04.015 · DOI
- Tien, 2014, Eye tracking for skills assessment and training: a systematic review, Journal of Surgical Research, 191, 169, 10.1016/j.jss.2014.04.032 · DOI · Paper page
- Tiersma, 2003, Visualising scanning patterns of pathologists in the grading of cervical intraepithelial neoplasia, Journal of Clinical Pathology, 56, 677, 10.1136/jcp.56.9.677 · doi:10.1136/jcp.56.9.677
- Timberg, 2013, Investigation of viewing procedures for interpretation of breast tomosynthesis image volumes: A detection-task study with eye tracking, European Radiology, 23, 997, 10.1007/s00330-012-2675-z · doi:10.1007/s00330-012-2675-z
- Unema, 2005, Time course of information processing during scene perception: The relationship between saccade amplitude and fixation duration, Visual Cognition, 12, 473, 10.1080/13506280444000409 · DOI · Paper page
- Van der Lans, 2011, Defining eye-fixation sequences across individuals and tasks: The binocular-individual threshold (BIT) algorithm, Behavior Research Methods, 43, 239, 10.3758/s13428-010-0031-2 · DOI
- Wood, 2013, Exploring the impact of expertise, clinical history, and visual search on electrocardiogram interpretation, Medical Decision Making
- Wood, 2013, Visual expertise in detecting and diagnosing skeletal fractures, Skeletal Radiology, 42, 165, 10.1007/s00256-012-1503-5 · DOI
- Zheng, 2011, Surgeon's vigilance in the operating room, The American Journal of Surgery, 201, 673, 10.1016/j.amjsurg.2011.01.016 · DOI
Cited by
Prokop, M., Pilař, L., & Tichá, I. (2020) · Sensors · doi:10.3390/s20102750 · Cited by 48
Metadata
- Authors
- Al-Moteri, M. O., Symmons, M., Plummer, V., & Cooper, S.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2017-01
- Volume
- 66
- Pages
- 52-66
- ISSN
- 0747-5632
- Cited by
- 70
- References
- 6
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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