Use of eye tracking in medical education

References

• Adhanom IB, MacNeilage P, Folmer E. 2023. Eye tracking in virtual reality: a broad review of applications and challenges. Virtual Real. 27(2):1481–1505. doi:10.1007/s10055-022-00738-z.
   PubMed Web of Science ®Google Scholar
• Anderson JR. 1990. Cognitive psychology and its implications, 3rd ed. New York, NY: W H Freeman/Times Books/Henry Holt & Co.
   Google Scholar
• Anderson JR, Bothell D, Byrne MD, Douglass S, Lebiere C, Qin YL. 2004. An integrated theory of the mind. Psychol Rev. 111(4):1036–1060. doi:10.1037/0033-295X.111.4.1036.
   PubMed Web of Science ®Google Scholar
• Ashraf H, Sodergren MH, Merali N, Mylonas G, Singh H, Darzi A. 2018. Eye-tracking technology in medical education: a systematic review. Med Teach. 40(1):62–69. doi:10.1080/0142159X.2017.1391373.
   PubMed Web of Science ®Google Scholar
• Balslev T, Jarodzka H, Holmqvist K, de Grave W, Muijtjens AMM, Eika B, van Merriënboer J, Scherpbier AJJA. 2012. Visual expertise in paediatric neurology. Eur J Paediatr Neurol. 16(2):161–166. doi:10.1016/j.ejpn.2011.07.004.
   PubMed Web of Science ®Google Scholar
• Barnes GR. 2008. Cognitive processes involved in smooth pursuit eye movements. Brain Cogn. 68(3):309–326. doi:10.1016/j.bandc.2008.08.020.
   PubMed Web of Science ®Google Scholar
• Beesley T, Pearson D, Le Pelley M. 2019. Chapter 1 – Eye tracking as a tool for examining cognitive processes. In: Foster G, editor. Biophysical measurement in experimental social science research. Cambridge, Massachusetts, EUA: Academic Press; pp. 1–30.
   Google Scholar
• Bera P, Soffer P, Parsons J. 2019. Using eye tracking to expose cognitive processes in understanding conceptual models. MIS Quarterly. 43(4):1105–1126.
   Google Scholar
• Bergt A, Urai AE, Donner TH, Schwabe L. 2018. Reading memory formation from the eyes. Eur J Neurosci. 47(12):1525–1533. doi:10.1111/ejn.13984.
   PubMed Web of Science ®Google Scholar
• Binda P, Murray SO. 2015. Keeping a large-pupilled eye on high-level visual processing. Trends Cogn Sci. 19(1):1–3. doi:10.1016/j.tics.2014.11.002.
   PubMed Web of Science ®Google Scholar
• Borys M, Plechawska-Wojcik M, Wawrzyk M, Wesolowska K. 2017. Classifying Cognitive Workload Using Eye Activity and EEG Features in Arithmetic Tasks. Inf Softw Technol. 756:90–105.
   Google Scholar
• Brunye TT, Drew T, Weaver DL, Elmore JG. 2019. A review of eye tracking for understanding and improving diagnostic interpretation. Cogn Res-Princ Implic. 4:7.
   PubMed Web of Science ®Google Scholar
• Chen F, Zhou J, Wang Y, Yu K, Arshad S, Khawaji A, Conway D. 2016. Robust multimodal cognitive load measurement. Cham: Springer.
   Google Scholar
• Dalmaijer ES, Mathôt S, Van der Stigchel S. 2014. PyGaze: an open-source, cross-platform toolbox for minimal-effort programming of eyetracking experiments. Behav Res Methods. 46(4):913–921. doi:10.3758/s13428-013-0422-2.
   PubMed Web of Science ®Google Scholar
• Dias RD, Ngo-Howard MC, Boskovski MT, Zenati MA, Yule SJ. 2018. Systematic review of measurement tools to assess surgeons’ intraoperative cognitive workload. Br J Surg. 105(5):491–501. doi:10.1002/bjs.10795.
   PubMed Web of Science ®Google Scholar
• Donovan T, Manning DJ. 2006. Successful reporting by non-medical practitioners such as radiographers, will always be task-specific and limited in scope. Radiography. 12(1):7–12. doi:10.1016/j.radi.2005.01.004.
   Google Scholar
• Drew T, Boettcher SEP, Wolfe JM. 2017. One visual search, many memory searches: an eye-tracking investigation of hybrid search. J. Vis. 17(11):5.
   PubMed Web of Science ®Google Scholar
• Duchowski A. 2007. Eye tracking methodology: theory and practice. New York City (NY): Springer International Publishing AG.
   Google Scholar
• Eckstein MK, Guerra-Carrillo B, Singley ATM, Bunge SA. 2017. Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development? Dev Cogn Neurosci. 25:69–91. doi:10.1016/j.dcn.2016.11.001.
   PubMed Web of Science ®Google Scholar
• Fukushima K, Fukushima J, Warabi T, Barnes GR. 2013. Cognitive processes involved in smooth pursuit eye movements: behavioral evidence, neural substrate and clinical correlation. Front Syst Neurosci. 7:4. doi:10.3389/fnsys.2013.00004.
   PubMedGoogle Scholar
• Gegenfurtner A, Kok E, van Geel K, de Bruin A, Jarodzka H, Szulewski A, van Merriënboer JJ. 2017. The challenges of studying visual expertise in medical image diagnosis. Med Educ. 51(1):97–104. doi:10.1111/medu.13205.
   PubMed Web of Science ®Google Scholar
• Goldberg JH, Helfman JI. 2014. Eye Tracking on Visualizations: progressive extraction of scanning strategies. In: Huang W, editor. Handbook of human centric visualization. New York, NY: Springer New York; p. 337–372.
   Google Scholar
• Gudi A, Li X, van Gemert J. 2020. Efficiency in real-time webcam gaze tracking. In Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16. p. 529–543.
   Google Scholar
• Hannula DE, Althoff RR, Warren DE, Riggs L, Cohen NJ, Ryan JD. 2010. Worth a glance: using eye movements to investigate the cognitive neuroscience of memory. Front Hum Neurosci. 4:166–166. doi:10.3389/fnhum.2010.00166.
   PubMed Web of Science ®Google Scholar
• Hannula DE, Ranganath C. 2009. The eyes have it: hippocampal activity predicts expression of memory in eye movements. Neuron. 63(5):592–599. doi:10.1016/j.neuron.2009.08.025.
   PubMed Web of Science ®Google Scholar
• Holmqvist K, Andersson R. 2017. Eye-tracking: a comprehensive guide to methods, paradigms and measures. Oxford: Oxford University Press.
   Google Scholar
• Holmqvist K, Örbom SL, Hooge ITC, Niehorster DC, Alexander RG, Andersson R, Benjamins JS, Blignaut P, Brouwer A-M, Chuang LL, et al. 2021. Eye tracking: empirical foundations for a minimal reporting guideline. Behav Res Methods. 55(1):364–416. doi:10.3758/s13428-021-01762-8.
   Web of Science ®Google Scholar
• Hooge ITC, Niehorster DC, Hessels RS, Cleveland D, Nyström M. 2021. The pupil-size artefact (PSA) across time, viewing direction, and different eye trackers. Behav Res Methods. 53(5):1986–2006. doi:10.3758/s13428-020-01512-2.
   PubMed Web of Science ®Google Scholar
• Hope D, Dewar A, Hay C. 2021. Is there a replication crisis in medical education research? Acad Med. 96(7):958–963. doi:10.1097/ACM.0000000000004063.
   PubMed Web of Science ®Google Scholar
• Huddleston WE, Aleksandrowicz MS, Yufa A, Knurr CR, Lytle JR, Puissant MM. 2013. Attentional resource allocation during a cued saccade task. Acta Psychol. 144(1):112–120. doi:10.1016/j.actpsy.2013.05.006.
   PubMed Web of Science ®Google Scholar
• Jacob RJK, Karn KS. 2003. Commentary on Section 4 – Eye tracking in human-computer interaction and usability research: ready to deliver the promises. In: Hyönä J, Radach R, Deubel H, editors. The mind’s eye. Amsterdam: North-Holland; p. 573–605.
   Google Scholar
• Jarodzka H, Boshuizen HPA. 2017. Unboxing the black box of visual expertise in medicine. Frontline Learn Res. 5(3):167–183. doi:10.14786/flr.v5i3.332.
   Google Scholar
• Just MA, Carpenter PA. 1976. Eye fixations and cognitive processes. Cogn Psychol. 8(4):441–480. doi:10.1016/0010-0285(76)90015-3.
   Web of Science ®Google Scholar
• Just MA, Carpenter PA. 1980. A theory of reading: from eye fixations to comprehension. Psychol Rev. 87(4):329–354. doi:10.1037/0033-295X.87.4.329.
   PubMed Web of Science ®Google Scholar
• Kaufmann L. 2011. The Oxford handbook of eye movements. Perception. 40(11):1393–1394. doi:10.1068/p4011rvw.
   Web of Science ®Google Scholar
• Kok EM, Jarodzka H. 2017. Before your very eyes: the value and limitations of eye tracking in medical education. Med Educ. 51(1):114–122. doi:10.1111/medu.13066.
   PubMed Web of Science ®Google Scholar
• Krauzlis RJ. 2004. Recasting the smooth pursuit eye movement system. J Neurophysiol. 91(2):591–603. doi:10.1152/jn.00801.2003.
   PubMed Web of Science ®Google Scholar
• Krejtz K, Duchowski AT, Niedzielska A, Biele C, Krejtz I. 2018. Eye tracking cognitive load using pupil diameter and microsaccades with fixed gaze. PLoS One. 13(9):e0203629. doi:10.1371/journal.pone.0203629.
   PubMed Web of Science ®Google Scholar
• Kundel HL, Nodine CF. 1975. Interpreting chest radiographs without visual search. Radiology. 116(3):527–532. doi:10.1148/116.3.527.
   PubMed Web of Science ®Google Scholar
• Kundel HL, Nodine CF, Carmody D. 1978. Visual scanning, pattern-recognition and decision-making in pulmonary nodule detection. Invest Radiol. 13(3):175–181. doi:10.1097/00004424-197805000-00001.
   PubMed Web of Science ®Google Scholar
• Kundel HL, Nodine CF, Toto L. 1991. Searching for lung nodules. The guidance of visual scanning. Invest Radiol. 26(9):777–781. doi:10.1097/00004424-199109000-00001.
   PubMed Web of Science ®Google Scholar
• Lai M-L, Tsai M-J, Yang F-Y, Hsu C-Y, Liu T-C, Lee SW-Y, Lee M-H, Chiou G-L, Liang J-C, Tsai C-C. 2013. A review of using eye-tracking technology in exploring learning from 2000 to 2012. Educ. Res. Rev. 10:90–115. doi:10.1016/j.edurev.2013.10.001.
   Web of Science ®Google Scholar
• Litchfield D, Ball LJ. 2011. Using another’s gaze as an explicit aid to insight problem solving. Q J Exp Psychol. 64(4):649–656. doi:10.1080/17470218.2011.558628.
   Web of Science ®Google Scholar
• Mahoney EJ, Kapur N, Osmon DC, Hannula DE. 2018. Eye tracking as a tool for the detection of simulated memory impairment. J. Appl. Res. Mem. Cogn. 7(3):441–453. doi:10.1037/h0101824.
   Web of Science ®Google Scholar
• Manning DJ, Ethell SC, Donovan T. 2004. Detection or decision errors? Missed lung cancer from the posteroanterior chest radiograph. Br J Radiol. 77(915):231–235. doi:10.1259/bjr/28883951.
   PubMed Web of Science ®Google Scholar
• Manning DJ, Gale A, Krupinski EA. 2005. Perception research in medical imaging. Br J Radiol. 78(932):683–685. doi:10.1259/bjr/72087985.
   PubMed Web of Science ®Google Scholar
• Mathôt S. 2018. Pupillometry: psychology, physiology, and function. J Cogn. 1(1):16.
   PubMedGoogle Scholar
• Matsumoto H, Terao Y, Yugeta A, Fukuda H, Emoto M, Furubayashi T, Okano T, Hanajima R, Ugawa Y. 2011. Where do neurologists look when viewing brain CT images? An eye-tracking study involving stroke cases. PLoS One. 6(12):e28928. doi:10.1371/journal.pone.0028928.
   PubMed Web of Science ®Google Scholar
• Mayer RE. 2010. Applying the science of learning to medical education. Med Educ. 44(6):543–549. doi:10.1111/j.1365-2923.2010.03624.x.
   PubMed Web of Science ®Google Scholar
• Melnyk R, Campbell T, Holler T, Cameron K, Saba P, Witthaus MW, Joseph J, Ghazi A. 2021. See like an expert: Gaze-augmented training enhances skill acquisition in a virtual reality robotic suturing task. J Endourol. 35(3):376–382. doi:10.1089/end.2020.0445.
   PubMed Web of Science ®Google Scholar
• Meng C, Zhao X. 2017. Webcam-based eye movement analysis using CNN. IEEE Access. 5:19581–19587. doi:10.1109/ACCESS.2017.2754299.
   Web of Science ®Google Scholar
• Nyamsuren E, Taatgen NA. 2013. Pre-attentive and attentive vision module. Cogn. Syst. Res. 24:62–71. doi:10.1016/j.cogsys.2012.12.010.
   Web of Science ®Google Scholar
• Orquin JL, Ashby NJS, Clarke ADF. 2016. Areas of interest as a signal detection problem in behavioral eye-tracking research. Behav Decis Mak. 29(2–3):103–115. doi:10.1002/bdm.1867.
   Web of Science ®Google Scholar
• Papoutsaki A, Sangkloy P, Laskey J, Daskalova N, Huang J, Hays J. 2016. Webgazer: scalable webcam eye tracking using user interactions. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI'16). AAAI Press; p. 3839–3845.
   Google Scholar
• Pfeuffer K, Vidal M, Turner J, Bulling A, Gellersen H. 2013. Pursuit calibration: making gaze calibration less tedious and more flexible. In Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology (UIST'13). Association for Computing Machinery, New York, NY, USA, p. 261–270.
   Google Scholar
• Raptis GE, Fidas CA, Avouris NM. 2016. Using eye tracking to identify cognitive differences: a brief literature review. In Proceedings of the 20th Pan-Hellenic Conference on Informatics (PCI'16). Association for Computing Machinery, New York, USA, Article 21, p. 1–6.
   Google Scholar
• Rayner K. 2009. Eye movements and attention in reading, scene perception, and visual search. Q J Exp Psychol (Hove). 62(8):1457–1506. doi:10.1080/17470210902816461.
   PubMed Web of Science ®Google Scholar
• Scheuernaan J, Venable KB, Anderson MT, Golob EJ. 2018. Modeling spatial auditory attention in ACT-R: a constraint-based approach. Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures (Bica 2018), vol. 145; p. 797–804. doi:10.1016/j.procs.2018.11.028.
   Google Scholar
• Sheridan H, Reingold EM. 2017. The holistic processing account of visual expertise in medical image perception: a review. Front Psychol. 8:1620. doi:10.3389/fpsyg.2017.01620.
   PubMed Web of Science ®Google Scholar
• Skaramagkas V, Giannakakis G, Ktistakis E, Manousos D, Karatzanis I, Tachos N, Tripoliti EE, Marias K, Fotiadis DI, Tsiknakis M. 2021. Review of eye tracking metrics involved in emotional and cognitive processes. IEEE Rev Biomed Eng. 16:260–277.
   Google Scholar
• Soh BP, Reed WM, Poulos A, Brennan PC. 2013. E-tutorial improves students’ ability to detect lesions. Radiol Technol. 85(1):17–26.
   PubMedGoogle Scholar
• Sqalli MT, Al-Thani D, Elshazly MB, Al-Hijji M. 2022. A Blueprint for an AI & AR-based eye tracking system to train cardiology professionals better interpret electrocardiograms. Behav Inf Technol. 13213:221–229.
   Google Scholar
• Sweller J. 2018. Measuring cognitive load. Perspect Med Educ. 7(1):1–2. doi:10.1007/s40037-017-0395-4.
   PubMed Web of Science ®Google Scholar
• Thiele A, Henning P, Kubischik M, Hoffmann KP. 2002. Neural mechanisms of saccadic suppression. Science. 295(5564):2460–2462. doi:10.1126/science.1068788.
   PubMed Web of Science ®Google Scholar
• Tien T, Pucher PH, Sodergren MH, Sriskandarajah K, Yang G-Z, Darzi A. 2014. Eye tracking for skills assessment and training: a systematic review. J Surg Res. 191(1):169–178. doi:10.1016/j.jss.2014.04.032.
   PubMed Web of Science ®Google Scholar
• Tominski C. 2006. Event-based visualization for user-centered visual analysis [dissertation]. University of Rostock.
   Google Scholar
• Treisman AM, Gelade G. 1980. A feature-integration theory of attention. Cogn Psychol. 12(1):97–136. doi:10.1016/0010-0285(80)90005-5.
   PubMed Web of Science ®Google Scholar
• Treue T, Martinez-Trujillo JC. 2003. Cognitive physiology: moving the mind’s eye before the head’s eye. Curr Biol. 13(11):R442–444. doi:10.1016/s0960-9822(03)00366-x.
   PubMed Web of Science ®Google Scholar
• Tse PU, Baumgartner FJ, Greenlee MW. 2010. Event-related functional MRI of cortical activity evoked by microsaccades, small visually-guided saccades, and eyeblinks in human visual cortex. Neuroimage. 49(1):805–816. doi:10.1016/j.neuroimage.2009.07.052.
   PubMed Web of Science ®Google Scholar
• van der Gijp A, Ravesloot CJ, Jarodzka H, van der Schaaf MF, van der Schaaf IC, van Schaik JPJ, ten Cate TJ. 2017. How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology. Adv Health Sci Educ Theory Pract. 22(3):765–787. doi:10.1007/s10459-016-9698-1.
   PubMed Web of Science ®Google Scholar
• Wiese S, Lotz A, Russwinkel N. 2019. SEEV-VM: ACT-R visual module based on SEEV theory. In Proceedings of the 17th International Conference on Cognitive Modeling (ICCM 2019).
   Google Scholar
• Wolfe JM. 2021. Guided Search 6.0: an updated model of visual search. Psychon Bull Rev. 28(4):1060–1092.
   Google Scholar