Developing Vision-Based Digital Public Display as an Interactive Media

Authors: Adrian Samuel Limanto, Yunli Lee

Abstract:

Interactive public displays give access as an innovative media to promote enhanced communication between people and information. However, digital public displays are subject to a few constraints, such as content presentation. Content presentation needs to be developed to be more interesting to attract people’s attention and motivate people to interact with the display. In this paper, we proposed idea to implement contents with interaction elements for vision-based digital public display. Vision-based techniques are applied as a sensor to detect passers-by and theme contents are suggested to attract their attention for encouraging them to interact with the announcement content. Virtual object, gesture detection and projection installation are applied for attracting attention from passers-by. Preliminary study showed positive feedback of interactive content designing towards the public display. This new trend would be a valuable innovation as delivery of announcement content and information communication through this media is proven to be more engaging.

Keywords: Digital announcement, digital public display, human-information interaction, interactive media.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1086719

References:

[1] D. Michelis, “Interaktive Grossbildschirme im öffentlichen Raum: Nutzungsmotive und Gestaltungsregeln,” Wiesbaden, 2009.
[2] Michael J. Albers, “Human-Information Interaction”. SIGDOC Conference, Lisboa, Portugal, pp. 117-123., September 2008.
[3] P. Barker, “Designing Interactive Learning. Design and Production of Multimedia and Simulation-based Learning Material,” Dordrecht: Kluwer Academic Publishers. Netherland 1994.
[4] E. Churchill, “Sharing Multimedia Content with Interactive Public Displays: A Case Study,” ACM Conference on Designing Interactive Systems, August 1-4, 2004, Cambridge, Massachusetts, USA.
[5] Daniel Vogel and Ravin Balakrishnan, “Interactive Public Ambient Displays: Transitioning from Implicit to Explicit, Public to Personal, Interaction with Multiple Users,” ACM Conference on User Interface Software and Technologies, October 24-27, 2004, Santa Fe, New Mexico, USA.
[6] Jörg Müller, Florian Alt, Albrecht Schimdt, and Daniel Michelis, “Requirements and Design Space for Interactive Public Displays,” ACM Multimedia International Conference, Firenze, Italy, pp. 1285-1294, October, 2010.
[7] Anna Kämäräinen and Pertti Saariluoma, “Interaction with Information Graphics: A Content-Based Approach,” 2009 Second international Conferences on Advances in Computer-Human Interactions, pp.103- 110, February 2009.
[8] Xiaogang Zhao and Yanbo Hui. (2009). Face Tracking Based on Fusion Skin Color Model and Optical Flow Algorithm. IEEE International Conference on Wireless Networks and Information Systems, Kathamandu, Nepal.
[9] C. E. Erdem, S. Ulukaya, A. Kaarali, and A.T. Erdem,“Combining Haar Feature and Skin Color Based Classifiers for Face Detection,” Acoustics Speech and Signal Processing (ICASSP) 2011, IEEE International Conference, Prague, Czech Republic.
[10] Y. Freund and R. E. Schapire,“A Decision-Theoretic Generalization of on-line Learning and an Application to Boosting,”Journal of Computer and System Sciences, vol. 55, no. 1, pp. 119–139, 1997.
[11] B. Funt, K. Barnard, and L. Martin,“Is Machine Colour Constancy Good Enough?”European Conference on Computer Vision, 1998, pp. 445– 459.
[12] Tastenkunst. “Beyond Reality Face.” Internet: http://www.beyondreality- face.com, 2012 (Feb. 28, 2013).