Medical Holography for Basic Anatomy Training

The conceptualization of three-dimensional (3D) images within the human brain is a difficult task requiring extensive use of the brain’s working memory. In the medical education community, this problem is particularly prevalent due to the complex 3D structures inherent in human anatomy. One potential solution to this problem is to present medical content in 3D dimensions rather than 2D or 2.5D. In doing so, the trainee would no longer be burdened with the additional cognitive load imposed during conversion of a 2/2.5D representation to a 3D representation within working memory. A unique technological solution to achieve this uses holography to present the medical content. Holography allows the user to view fully parallax, auto-stereoscopic 3D images. Within this research effort, static, full-color holograms were created depicting medical content. A study was conducted involving two groups of students presented with medical content in either a traditional format via textbook handouts or through holography. Cognitive load analysis was performed to determine if a difference in cognitive effort was experienced while using holography. A usability study was conducted to evaluate hologram performance and collect user experience metrics during the trial. This paper will discuss in detail the results of the experiment including the cognitive load analysis, the usability evaluation, performance trends, and lessons learned. ABOUT THE AUTHOR

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

[2]  Fred G. W. C. Paas,et al.  The Efficiency of Instructional Conditions: An Approach to Combine Mental Effort and Performance Measures , 1992 .

[3]  D. Gabor A New Microscopic Principle , 1948, Nature.

[4]  S. Daniel,et al.  Can virtual reality improve anatomy education? A randomised controlled study of a computer‐generated three‐dimensional anatomical ear model , 2006, Medical education.

[5]  John P. McIntire,et al.  Analysis of an autostereoscopic display: the perceptual range of the three-dimensional visual fields and saliency of static depth cues , 2006, Electronic Imaging.

[6]  J. G. Schuurman,et al.  Redirecting learners' attention during training: Effects on cognitive load, transfer test performance and training efficiency. , 2002 .

[7]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[8]  G. A. Miller The magical number seven plus or minus two: some limits on our capacity for processing information. , 1956, Psychological review.

[9]  W. Cottam,et al.  Adequacy of medical school gross anatomy education as perceived by certain postgraduate residency programs and anatomy course directors , 1999, Clinical anatomy.

[10]  Paul Ayres Using subjective measures to detect variations of intrinsic cognitive load within problems , 2006 .

[11]  Kevin W Eva,et al.  Is There Any Real Virtue of Virtual Reality?: The Minor Role of Multiple Orientations in Learning Anatomy from Computers , 2002, Academic medicine : journal of the Association of American Medical Colleges.

[12]  Sven Fuhrmann,et al.  Investigating Geospatial Holograms for Special Weapons and Tactics Teams , 2009 .

[13]  J. Sweller COGNITIVE LOAD THEORY, LEARNING DIFFICULTY, AND INSTRUCTIONAL DESIGN , 1994 .

[14]  J. Sweller,et al.  Cognitive Load Theory and Complex Learning: Recent Developments and Future Directions , 2005 .

[15]  F. Paas,et al.  Cognitive Load Theory and Instructional Design: Recent Developments , 2003 .

[16]  Emmett N. Leith,et al.  White-light holograms , 1976 .

[17]  G R Norman,et al.  Do virtual computer models hinder anatomy learning? , 1999, Academic medicine : journal of the Association of American Medical Colleges.

[18]  E. Leith,et al.  Reconstructed Wavefronts and Communication Theory , 1962 .

[19]  P. Chandler,et al.  Why Some Material Is Difficult to Learn , 1994 .

[20]  Alfred Bork,et al.  Multimedia in Learning , 2001 .

[21]  Sven Fuhrmann,et al.  Investigating Hologram‐Based Route Planning , 2009 .

[22]  G. Norman,et al.  How medical students learn spatial anatomy , 2001, The Lancet.

[23]  Örjan Smedby,et al.  Advanced 3D visualization in student-centred medical education , 2008, Medical teacher.

[24]  C. Rosse,et al.  The potential of computerized representations of anatomy in the training of health care providers , 1995, Academic medicine : journal of the Association of American Medical Colleges.

[25]  Y. Denisyuk Photographic Reconstruction of the Optical Properties of an Object in Its Own Scattered Radiation Field , 1962 .

[26]  S. Benton,et al.  Holographic Imaging , 2008 .

[27]  John Sweller,et al.  Cognitive technology: Some procedures for facilitating learning and problem solving in mathematics and science. , 1989 .

[28]  Örjan Smedby,et al.  Web‐based interactive 3D visualization as a tool for improved anatomy learning , 2009, Anatomical sciences education.

[29]  Fred Paas,et al.  Interactive and dynamic visualizations in teaching and learning of anatomy: a cognitive load perspective. , 2005, Anatomical record. Part B, New anatomist.

[30]  Robert Miller,et al.  Approaches to learning spatial relationships in gross anatomy: Perspective from wider principles of learning , 2000, Clinical anatomy.

[31]  Yasuharu Okuda,et al.  The utility of simulation in medical education: what is the evidence? , 2009, The Mount Sinai journal of medicine, New York.

[32]  Michelene T. H. Chi,et al.  Expertise in Problem Solving. , 1981 .

[33]  P Perona,et al.  Image recognition: visual grouping, recognition, and learning. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[34]  H A Simon,et al.  How Big Is a Chunk? , 1974, Science.

[35]  John Sweller,et al.  Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..

[36]  T. Jong Cognitive load theory, educational research, and instructional design: some food for thought , 2010 .