Technical report on a haptic interface for learning anatomy

Anatomy is an essential subject for many health related courses, hence there are various tools available. In order to find out if different types of learners may have more benefits from a different mode of learning resources, a haptic system for learning anatomy was developed and three consecutive user tests were completed over 2 years. The system has been expanded according to users' feedback at each phase in a Design Research paradigm. The Technical Acceptance Model was used to measure how well this system was accepted by current students enrolled in an institution. The technical aspects of the system are discussed in this paper.

[1]  Inder Singh Devendra Kumar Punia,et al.  THE EVOLUTION OF TECHNOLOGY ACCEPTANCE MODEL: A LITERATURE REVIEW , 2013 .

[2]  Nigel W. John,et al.  The Role of Haptics in Medical Training Simulators: A Survey of the State of the Art , 2011, IEEE Transactions on Haptics.

[3]  John Q. Young,et al.  Cognitive Load Theory: Implications for medical education: AMEE Guide No. 86 , 2014, Medical teacher.

[4]  Andrina Granic,et al.  Technology acceptance model: a literature review from 1986 to 2013 , 2014, Universal Access in the Information Society.

[5]  N. Shenoy,et al.  Assessment of learning styles of undergraduate medical students using the VARK questionnaire and the influence of sex and academic performance. , 2014, Advances in physiology education.

[6]  Francisco J. García-Peñalvo,et al.  Playing with SHULE: surgical haptic learning environment , 2014, TEEM '14.

[7]  Shih-Ching Yeh,et al.  Evaluation of a haptics-based virtual reality temporal bone simulator for anatomy and surgery training , 2014, Comput. Methods Programs Biomed..

[8]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[9]  P. Kendall,et al.  An Examination of Behavioral Rehearsal During Consultation as a Predictor of Training Outcomes , 2013, Administration and Policy in Mental Health and Mental Health Services Research.

[10]  M. Hashizume,et al.  Surgical Simulation and Education , 2014, International Journal of Computer Assisted Radiology and Surgery.

[11]  Hanif M. Ladak,et al.  Virtual Reality Simulator for Training in Myringotomy with Tube Placement , 2016 .

[12]  Sung-Joon Yoon,et al.  Validation of Haptic Enabling Technology Acceptance Model (HE-TAM): Integration of IDT and TAM , 2014, Telematics Informatics.

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

[14]  Arthur H. J. Sale,et al.  User Acceptance of a Haptic Interface for Learning Anatomy , 2013 .

[15]  Constantine Stephanidis,et al.  Universal access in the information society , 1999, HCI.

[16]  Weihang Zhu,et al.  The OpenHaptics/spl trade/ toolkit: a library for adding 3D Touch/spl trade/ navigation and haptics to graphics applications , 2005, First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. World Haptics Conference.

[17]  Samir Otmane,et al.  Designing the user interface of a virtual needle insertion trainer , 2015, IHM.