Augmented Reality (AR) has emerged as a rapidly developing technology, capable of a wide scope of applications across a variety of domains. AR technologies allow for a virtual experience to be overlaid on top of a physical environment, creating a hybrid experience in which virtual objects become a part of the user’s perceptual and physical environment. Rapid progression of the AR field requires that effective and validated methods of design evaluation be developed. Failure to consider the usability of AR applications during the design process will result in an increase in user errors and accidents, limiting user trust of the technology and undermining user perceptions of the technology, for both AR and Virtual Reality (VR) technologies (Nordrum, 2016). Through a robust and iterative process, a set of Design Heuristics for AR were developed for multidimensional augmented environments with the aim of advancing AR design methods for human factors, ergonomics, and user experience practitioners within the expanding AR community.
References
1.
AtkinsonB. F. W.BennettT. O.BahrG. S.NelsonM. M. W. (2007, July). Development of a multiple heuristics evaluation table (MHET) to support software development and usability analysis. In International Conference on Universal Access in Human-Computer Interaction (pp. 563-572). Springer Berlin Heidelberg.
2.
ApterM. J. (1970). The Computer Simulation of Behaviour. London: Hutchinson & Co. p. 83.
CarmignianiJ.FurhtB.AnisettiM.CeravoloP.DamianiE.IvkovicM. (2011). Augmented reality technologies, systems and applications. Multimedia Tools and Applications, 51(1), 341-377
5.
de Souza e SilvaA.SutkoD. M. (2009). Digital Cityscapes: merging digital and urban playspaces. New York: Peter Lang Publishing, Inc.
6.
DϋnserA.GrassetR.SeichterH.BillinghurstM. (2004). Applying HCI principles to AR systems design. HIT Lab NZ, University of Canterbury, New Zealand.
7.
FleissJ.L. (1981). Statistical methods for rates and proportions (2nd ed.). New York: John Wiley. ISBN 0-471-26370-2.
8.
FranklinF.BreyerF.KelnerJ. (2014, May). Usability heuristics for collaborative augmented reality remote systems. In Virtual and Augmented Reality (SVR), 2014 XVI Symposium on (pp. 53-62). IEEE.
9.
FurmanskiC.AzumaR.DailyM., (2002). Augmented-reality visualizations guided by cognition: Perceptual heuristics for combining visible and obscured information. In Mixed and Augmented Reality, 2002. ISMAR 2002. Proceedings. International Symposium on (pp. 215-320). IEEE.
10.
GabbardJ. L.SwanJ. E.II. (2008). Usability engineering for augmented reality: Employing user-based studies to inform design. IEEE Transactions on visualization and computer graphics, 14(3), 513-525
11.
GigerenzerG.EngelC. eds. (2007). Heuristics and the Law, Cambridge, The MIT Press, ISBN 978-0-262-07275-5
12.
GongJ.TarasewichP. (2004, November). Guidelines for handheld mobile device interface design. In Proceedings of DSI 2004 Annual Meeting (pp. 3751-3756).
13.
GronerR.GronerM.BischofW. F. (1983). Methods of heuristics. Hillsdale N.J., Lawrence Erlbaum.
14.
JohnB. E.MarksS. J. (1997). Tracking the effectiveness of usability evaluation methods. Behaviour & Information Technology, 16(4-5), 188-202.
KimH. J.KimM. H.ChioJ. K.JiY. G. (2008). A study of evaluation framework for tangible user interface. Proceedings of the 2nd International Conference on Applied Human Factors and Ergonomics AHFE2008. July 14–17, 2008, Las Vegas, USA
17.
KlineP. (2000). The handbook of psychological testing (2nd ed.). London: Routledge, page13
18.
KoS. M.ChangW. S.JiY. G. (2013). Usability principles for augmented reality applications in a smartphone environment. International Journal of Human-Computer Interaction, 29(8), 501-515.
19.
KourouthanassisP. E.BoletsisC.LekakosG. (2015). Demystifying the design of mobile augmented reality applications. Multimedia Tools and Applications, 74(3), 1045-1066.
20.
KrevelenD.W.FPoelmanR (2010) A survey of augmented reality technologies, applications and limitations. Int J Virtual Reality9(2):1–20
21.
MackR. L.NielsenJ. (Eds.). (1994). Usability inspection methods (pp. 1-414). New York, NY: Wiley & Sons.
22.
MolichR.NielsenJ. (1990). Improving a human-computer dialogue. Communications of the ACM, 33(3), 338-348.
23.
MooreA. (2006). A tangible augmented reality interface to tiled street maps and its usability testing (pp. 511-528). Springer Berlin Heidelberg.
24.
NielsenJ. (1994, April). Enhancing the explanatory power of usability heuristics. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems (pp. 152-158). ACM.
PinelleD.WongN.StachT. (2008, April). Heuristic evaluation for games: usability principles for video game design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1453-1462). ACM.
27.
SchmorrowD. (Ed.). (2005). Foundations of augmented cognition. Hillsdale, NJ: Lawrence Erlbaum.
28.
QianX.YangY.GongY. (2011, December). The art of metaphor: a method for interface design based on mental models. In Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry (pp. 171-178). ACM.
29.
WebbA. K.VincentE. C.PatnaikP.SchwartzJ. L. (2016, July). A Systems Approach for Augmented Reality Design. In International Conference on Augmented Cognition (pp. 382-389). Springer International Publishing.
