Conveying clinical reasoning based on visual observation via eye-movement modelling examples

[1]  A. Walters,et al.  Benign Sleep Myoclonus of Infancy , 2013 .

[2]  R. Säljö,et al.  Traditional microscopy instruction versus process-oriented virtual microscopy instruction: a naturalistic experiment with control group , 2011, Diagnostic pathology.

[3]  T. Crawford,et al.  Viewing another person's eye movements improves identification of pulmonary nodules in chest x-ray inspection. , 2010, Journal of experimental psychology. Applied.

[4]  Elizabeth A Krupinski,et al.  Current perspectives in medical image perception , 2010, Attention, perception & psychophysics.

[5]  T. Gog,et al.  In the eyes of the beholder: How experts and novices interpret dynamic stimuli , 2010 .

[6]  J. H. Cross,et al.  Revised terminology and concepts for organization of seizures and epilepsies: Report of the ILAE Commission on Classification and Terminology, 2005–2009 , 2010, Epilepsia.

[7]  Erhardt Barth,et al.  Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning , 2010, ETRA.

[8]  T. Balslev,et al.  Hand activities in infantile masturbation: a video analysis of 13 cases. , 2009, European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society.

[9]  A. Muijtjens,et al.  The development of shared cognition in paediatric residents analysing a patient video versus a paper patient case , 2009, Advances in health sciences education : theory and practice.

[10]  Katharina Scheiter,et al.  Attention guidance during example study via the model's eye movements , 2009, Comput. Hum. Behav..

[11]  F. Paas,et al.  Towards a Framework for Attention Cueing in Instructional Animations: Guidelines for Research and Design , 2009 .

[12]  Fred Paas,et al.  Uncovering cognitive processes: Different techniques that can contribute to cognitive load research and instruction , 2009, Comput. Hum. Behav..

[13]  Marcus Nyström,et al.  Semantic override of low-level features in image viewing - both initially and overall , 2008 .

[14]  Claudia Mello-Thoms,et al.  Using gaze-tracking data and mixture distribution analysis to support a holistic model for the detection of cancers on mammograms. , 2008, Academic radiology.

[15]  Ba de Leng,et al.  How video cases should be used as authentic stimuli in problem‐based medical education , 2007, Medical education.

[16]  E. Krupinski,et al.  Eye-movement study and human performance using telepathology virtual slides: implications for medical education and differences with experience. , 2006, Human pathology.

[17]  Michelene T. H. Chi,et al.  Laboratory Methods for Assessing Experts' and Novices' Knowledge , 2006 .

[18]  Matthias Nückles,et al.  How do Experts Adapt their Explanations to a Layperson’s Knowledge in Asynchronous Communication? An Experimental Study , 2006, User Modeling and User-Adapted Interaction.

[19]  Fred Paas,et al.  Effects of Process-Oriented Worked Examples on Troubleshooting Transfer Performance , 2006 .

[20]  Elizabeth A Krupinski,et al.  Visual search of mammographic images: influence of lesion subtlety. , 2005, Academic radiology.

[21]  Michael J. Spivey,et al.  Eye Movements and Problem Solving , 2003, Psychological science.

[22]  J. Egger,et al.  Benign sleep myoclonus in infancy mistaken for epilepsy , 2003, BMJ : British Medical Journal.

[23]  Robin Deterding,et al.  A Comparison of Critical Thinking in Groups of Third‐year Medical Students in Text, Video, and Virtual PBL Case Modalities , 2003, Academic medicine : journal of the Association of American Medical Colleges.

[24]  Jean Underwood,et al.  Visual attention while driving: sequences of eye fixations made by experienced and novice drivers , 2003, Ergonomics.

[25]  D. Nordli.  Infantile Seizures and Epilepsy Syndromes , 2002, Epilepsia.

[26]  N. Charness,et al.  The perceptual aspect of skilled performance in chess: Evidence from eye movements , 2001, Memory & cognition.

[27]  N. G. Richards.  Epilepsy Problem Solving in Clinical Practice , 2000 .

[28]  S. Derry,et al.  Learning from Examples: Instructional Principles from the Worked Examples Research , 2000 .

[29]  L R Brooks,et al.  On the Difficulty of Noticing Obvious Features in Patient Appearance , 2000, Psychological science.

[30]  Rajendra Kale.  Epilepsy: Problem Solving in Clinical Practice , 1999, BMJ : British Medical Journal.

[31]  Richard K. Lowe.  Extracting information from an animation during complex visual learning , 1999 .

[32]  H. Lüders,et al.  Semiological Seizure Classification * , 1998, Epilepsia.

[33]  Dequeker,et al.  Teaching problem‐solving and clinical reasoning: 20 years experience with video‐supported small‐group learning , 1998, Medical education.

[34]  M L Scheuer,et al.  Recognition and Classification of Seizures in Infants , 1997, Epilepsia.

[35]  J. Blair,et al.  Social Learning Theory , 1993, AAOHN journal : official journal of the American Association of Occupational Health Nurses.

[36]  Henk G. Schmidt,et al.  On the Role of Biomedical Knowledge in Clinical Reasoning by Experts, Intermediates and Novices , 1992, Cogn. Sci..

[37]  J. Antes,et al.  Discriminating Artists from Nonartists by Their Eye-Fixation Patterns , 1991, Perceptual and motor skills.

[38]  K. VanLehn.  Problem solving and cognitive skill acquisition , 1989 .

[39]  M. Posner.  Foundations of cognitive science , 1989 .

[40]  John R. Anderson,et al.  MACHINE LEARNING An Artificial Intelligence Approach , 2009 .

[41]  Gary W. Mathern,et al.  Revised terminology and concepts for organization of the epilepsies: Report of the Commission on Classification and Terminology , 2009 .

[42]  T. Gog,et al.  How to Convey Perceptual Skills by Displaying Experts’ Gaze Data , 2009 .

[43]  Marcus Nyström,et al.  Off-line Foveated Compression and Scene Perception: An Eye-Tracking Approach , 2008 .

[44]  Rainer Bromme,et al.  Supporting Experts’ Written Knowledge Communication Through Reflective Prompts on the Use of Specialist Concepts , 2007 .

[45]  N. Charness,et al.  The Cambridge handbook of expertise and expert performance , 2006 .

[46]  Dirk van Rijn,et al.  Proceedings of the 31st annual conference of the Cognitive Science Society , 2003 .

[47]  Pamela J. Hinds,et al.  The Curse of Expertise: The Effects of Expertise and Debiasing Methods on Predictions of Novice Performance , 1999 .

[48]  F. Paas,et al.  Cognitive Architecture and Instructional Design , 1998 .

[49]  R. Glaser,et al.  Expertise in a complex skill: Diagnosing x-ray pictures. , 1988 .

[50]  M. Chi,et al.  The Nature of Expertise , 1988 .

[51]  Herbert A. Simon,et al.  WHY SHOULD MACHINES LEARN , 1983 .