Situated Analytics: Demonstrating immersive analytical tools with Augmented Reality
This paper introduces the use of Augmented Reality as an immersive analytical tool in the physical world. We present Situated Analytics, a novel combination of real-time interaction and visualization techniques that allows exploration and analysis of information about objects in the user's phys...
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| Published in | Journal of visual languages and computing Vol. 36; pp. 13 - 23 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Ltd
01.10.2016
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| Subjects | |
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| Abstract | This paper introduces the use of Augmented Reality as an immersive analytical tool in the physical world. We present Situated Analytics, a novel combination of real-time interaction and visualization techniques that allows exploration and analysis of information about objects in the user's physical environment. Situated Analytics presents both situated and abstract summary and contextual information to a user. We conducted a user study to evaluate its use in three shopping analytics tasks, comparing the use of a Situated Analytics prototype with manual analysis. The results showed that users preferred the Situated Analytics prototype over the manual method, and that tasks were performed more quickly and accurately using the prototype. |
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| AbstractList | This paper introduces the use of Augmented Reality as an immersive analytical tool in the physical world. We present Situated Analytics, a novel combination of real-time interaction and visualization techniques that allows exploration and analysis of information about objects in the user's physical environment. Situated Analytics presents both situated and abstract summary and contextual information to a user. We conducted a user study to evaluate its use in three shopping analytics tasks, comparing the use of a Situated Analytics prototype with manual analysis. The results showed that users preferred the Situated Analytics prototype over the manual method, and that tasks were performed more quickly and accurately using the prototype. |
| Author | Marriott, Kim ElSayed, Neven A.M. Piantadosi, Julia Smith, Ross T. Thomas, Bruce H. |
| Author_xml | – sequence: 1 givenname: Neven A.M. surname: ElSayed fullname: ElSayed, Neven A.M. email: neven.elsayed@mymail.unisa.edu.au organization: Wearable Computer Lab, University of South Australia, Australia – sequence: 2 givenname: Bruce H. surname: Thomas fullname: Thomas, Bruce H. email: Bruce.Thomas@unisa.edu.au organization: Wearable Computer Lab, University of South Australia, Australia – sequence: 3 givenname: Kim surname: Marriott fullname: Marriott, Kim email: Kim.Marriott@monash.edu organization: Monash Adaptive Visualisation Lab, Monash University, Australia – sequence: 4 givenname: Julia surname: Piantadosi fullname: Piantadosi, Julia email: Julia.Piantadosi@unisa.edu.au organization: School of Information Technology and Mathematical Sciences, University of South Australia, Australia – sequence: 5 givenname: Ross T. surname: Smith fullname: Smith, Ross T. email: Ross.Smith@unisa.edu.au organization: Wearable Computer Lab, University of South Australia, Australia |
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| References_xml | – reference: T.H. Hollerer, User interfaces for mobile augmented reality systems (Ph.D. thesis), Columbia University, 2004. – reference: L. Gruber, T. Langlotz, P. Sen, T. Hoherer, D. Schmalstieg, Efficient and robust radiance transfer for probeless photorealistic augmented reality, in: 2014 IEEE Virtual Reality (VR), IEEE, Minneapolis, MN, 2014, pp. 15–20. – reference: S. White, S. Feiner, Sitelens: situated visualization techniques for urban site visits, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, Boston, MA, USA, 2009, pp. 1117–1120. – reference: M. Tatzgern, D. Kalkofen, R. Grasset, D. Schmalstieg, Hedgehog labeling: view management techniques for external labels in 3d space, in: 2014 IEEE Virtual Reality (VR), IEEE, Minneapolis, MN, 2014, pp. 27–32. – reference: A. Forman, W. Frye, M.G. Melnyk, K. Miller-Kovach, S.M. Watson, M.J. 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| Title | Situated Analytics: Demonstrating immersive analytical tools with Augmented Reality |
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