Abstract
With the rapid growth of online devices, a new concept of Internet of Things (IoT) is emerging in which everyday devices will be connected to the Internet. As the number of devices in IoT is increasing, so is the complexity of the interactions between the user and the devices. There is a need to design intelligent user interfaces that could assist users in interactions with multiple devices. The present study proposes a proximity-based user interface for multimedia devices over IoT. The proposed method employs a cloud-based decision engine to support user to choose and interact with the most appropriate device, reliving the user from the burden of enumerating available devices manually. The decision engine observes the multimedia content and device properties, learns user preferences adaptively, and automatically recommends the most appropriate device to interact. The system evaluation shows that the users agree with the proposed interaction 70% of the times.
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References
Sanou, B.: ICT Facts and Figures. International Telecommunications Union, Geneva (2013)
Mattern, F., Floerkemeier, C.: From the Internet of Computers to the Internet of Things. In: Sachs, K., Petrov, I., Guerrero, P. (eds.) Buchmann Festschrift. LNCS, vol. 6462, pp. 242–259. Springer, Heidelberg (2010)
Connections Counter: The Internet of Everything in Motion, http://newsroom.cisco.com/feature-content?type=webcontent&articleId=1208342
Weiser, M.: The computer for the 21st century. Scientific American, 94–104 (1991)
Luyten, K., Coninx, K.: Distributed user interface elements to support smart interaction spaces. In: 7th IEEE International Symposium on Multimedia, pp. 277–286. IEEE Press, New York (2005)
Hall, E.T.: The hidden dimension. Anchor Books, New York (1969)
Greenberg, S., Marquardt, N., Ballendat, T., Diaz-Marino, R., Wang, M.: Proxemic interactions: The new ubicomp? Interactions 18(1), 42–50 (2011)
Marquardt, N., Diaz-Marino, R., Boring, S., Greenberg, S.: The proximity toolkit: Prototyping proxemic interactions in ubiquitous computing ecologies. In: 24th Annual ACM Symposium on User Interface Software and Technology, pp. 315–326. ACM, New York (2011)
Kortuem, G., Kawsar, F., Fitton, D., Sundramoorthy, V.: Smart objects as building blocks for the internet of things. IEEE Internet Computing 14(1), 44–51 (2010)
Broll, G., Rukzio, E., Paolucci, M., Wagner, M., Schmidt, A., Hussmann, H.: Perci: Pervasive service interaction with the internet of things. IEEE Internet Computing 13(6), 74–81 (2009)
Guinard, D., Trifa, V.: Towards the web of things: Web mashups for embedded devices. In: MEM 2009 in Proceedings of WWW 2009. ACM, New York (2009)
Ju, W., Lee, B.A., Klemmer, S.R.: Range: Exploring implicit interaction through electronic whiteboard design. In: The 2008 ACM Conference on Computer Supported Cooperative Work, pp. 17–26. ACM, New York (2008)
Wang, M., Boring, S., Greenberg, S.: Proxemic peddler: A public advertising display that captures and preserves the attention of a passerby. In: The 2012 International Symposium on Pervasive Displays, pp. 3:1–3:6. ACM, New York (2012)
Want, R., Hopper, A., Falcao, V., Gibbons, J.: The active badge location system. ACM J. Transactions on Information Systems 10(1), 91–102 (1992)
Brumitt, B., Meyers, B., Krumm, J., Kern, A., Shafer, S.: EasyLiving: Technologies for intelligent environments. In: Thomas, P., Gellersen, H.-W. (eds.) HUC 2000. LNCS, vol. 1927, pp. 12–29. Springer, Heidelberg (2000)
Ramani, I., Bharadwaja, R., Rangan, P.V.: Location tracking for media appliances in wireless home networks. In: IEEE International Conference on Multimedia and Expo, pp. 769–772. IEEE Press, New York (2003)
Sørensen, H., Kristensen, M.G., Kjeldskov, J., Skov, M.B.: Proxemic interaction in a multi-room music system. In: 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration, pp. 153–162. ACM, New York (2013)
Li, Z., Lin, J., Akodjenou, M.I., Xie, G., Kaafar, M.A., Jin, Y., Peng, G.: Watching Videos from Everywhere: A Study of the PPTV Mobile VoD System. In: The 2012 ACM Conference on Internet Measurement Conference, pp. 185–198. ACM, New York (2012)
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Danesh, A., Saini, M., El Saddik, A. (2015). A Proxemic Multimedia Interaction over the Internet of Things. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8936. Springer, Cham. https://doi.org/10.1007/978-3-319-14442-9_1
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DOI: https://doi.org/10.1007/978-3-319-14442-9_1
Publisher Name: Springer, Cham
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