TY - GEN
T1 - Empirical study of non-reversing magic mirrors for augmented reality anatomy learning
AU - Bork, Felix
AU - Barmaki, Roghayeh
AU - Eck, Ulrich
AU - Yu, Kevin
AU - Sandor, Christian
AU - Navab, Nassir
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/20
Y1 - 2017/11/20
N2 - Left-right confusion occurs across the entire population and refers to an impeded ability to distinguish between left and right. In medicine this phenomenon is particularly relevant as left and right are always defined with respect to the patient's point of view, i.e. the doctor's right is the patient's left. Traditional anatomy learning resources such as illustrations in textbooks naturally consider this by consistently depicting the anatomy of a patient as seen by an observer standing in front. Augmented Reality Magic Mirrors (MM) are one example of novel anatomy teaching resources and show a user's digital mirror image augmented with virtual anatomy on a large display. As left and right appear to be reversed in such MM setups, similar to real-world physical mirrors, intriguing perceptual questions arise: is a non-reversing MM (NRMM) the more natural choice for the task of anatomy learning and do users even learn anatomy the wrong way with a traditional, reversing MM (RMM)' In this paper, we explore the perceptual differences between an NRMM and RMM design and present the first empirical study comparing these two concepts for the purpose of anatomy learning. Experimental results demonstrate that medical students perform significantly better at identifying anatomically correct placement of virtual organs in an NRMM. However, interaction was significantly more difficult compared to an RMM. We explore the underlying psychological effects and discuss the implications of using an NRMM on user perception, knowledge transfer, and interaction. This study is relevant for the design of future MM systems in the medical domain and lessons-learned can be transferred to other application domains.
AB - Left-right confusion occurs across the entire population and refers to an impeded ability to distinguish between left and right. In medicine this phenomenon is particularly relevant as left and right are always defined with respect to the patient's point of view, i.e. the doctor's right is the patient's left. Traditional anatomy learning resources such as illustrations in textbooks naturally consider this by consistently depicting the anatomy of a patient as seen by an observer standing in front. Augmented Reality Magic Mirrors (MM) are one example of novel anatomy teaching resources and show a user's digital mirror image augmented with virtual anatomy on a large display. As left and right appear to be reversed in such MM setups, similar to real-world physical mirrors, intriguing perceptual questions arise: is a non-reversing MM (NRMM) the more natural choice for the task of anatomy learning and do users even learn anatomy the wrong way with a traditional, reversing MM (RMM)' In this paper, we explore the perceptual differences between an NRMM and RMM design and present the first empirical study comparing these two concepts for the purpose of anatomy learning. Experimental results demonstrate that medical students perform significantly better at identifying anatomically correct placement of virtual organs in an NRMM. However, interaction was significantly more difficult compared to an RMM. We explore the underlying psychological effects and discuss the implications of using an NRMM on user perception, knowledge transfer, and interaction. This study is relevant for the design of future MM systems in the medical domain and lessons-learned can be transferred to other application domains.
UR - https://www.scopus.com/pages/publications/85041662291
U2 - 10.1109/ISMAR.2017.33
DO - 10.1109/ISMAR.2017.33
M3 - Conference contribution
AN - SCOPUS:85041662291
T3 - Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2017
SP - 169
EP - 176
BT - Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2017
A2 - Broll, Wolfgang
A2 - Regenbrecht, Holger
A2 - Swan, J Edward
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2017
Y2 - 9 October 2017 through 13 October 2017
ER -