The Improvement and Evaluation of an Analog Digital Television System’s Availability and Users Experience

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Based on the RGBD sensor, this passage suggested a method named ‘Control-right Management’ to reduce the Interaction Information in order to bring better communication efficiency of an Analog Digital Television System. This system was base on fingertip, dynamic and static hand gesture recognition,and it can be controlled by person in the mid-air. And then split and recombination of different operation elements as “Complex Group Gesture” to improve the system’s availability and users experience. According to the Goals Operators Methods Selection Rules(GOMS) model we analyzed the operation step by step and found the redundant process, then reduce the operation time and steps to give the users better availability and users experience. Calculated by the formula of interaction efficiency, the changed operation showed more efficient than before.Finally we take some experiments of our methods and propose several specialize quantitative evaluation methods that can be used in the field of Digital Television System.

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2027-2033

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Drury, J. L., Scholtz, J., & Kieras, D. (2007, March). Adapting GOMS to model human-robot interaction. , In Proceedings of the ACM/IEEE international conference on Human-robot interaction (pp.41-48). ACM.

DOI: 10.1145/1228716.1228723

Google Scholar

[2] Mohammad Rezazadeh, I., Firoozabadi, M., Hu, H., & Hashemi Golpayegani, M. (2012). Co-Adaptive and Affective Human-Machine Interface for Improving Training Performances of Virtual Myoelectric Forearm Prosthesis.

DOI: 10.1109/t-affc.2012.3

Google Scholar

[3] De Crescenzio, F., & Frau, G. (2013, April). Design of Virtual Reality Based HMIs (Human Machine Interfaces) of Complex Systems. , In Engineering of Computer Based Systems (ECBS), 2013 20th IEEE International Conference and Workshops on the (pp.181-186.

DOI: 10.1109/ecbs.2013.33

Google Scholar

[4] Kaber, D. B., Wang, X., & Kim, S. H. (2006, October). Computational cognitive modeling of operator behavior in telerover navigation. "In Systems, Man and Cybernetics, 2006. SMC, 06. IEEE International Conference on (Vol. 4, pp.3210-3215). IEEE.

DOI: 10.1109/icsmc.2006.384611

Google Scholar

[5] Van den Bergh, M., Carton, D., De Nijs, R., Mitsou, N., Landsiedel, C., Kuehnlenz, K., .. & Buss, M. (2011, July). Real-time 3D hand gesture interaction with a robot for understanding directions from humans. , In RO-MAN, 2011 IEEE (pp.357-362.

DOI: 10.1109/roman.2011.6005195

Google Scholar

[6] Oka, K., Sato, Y., & Koike, H. (2002). Real-time fingertip tracking and gesture recognition., Computer Graphics and Applications, IEEE, 22(6), 64-71.

DOI: 10.1109/mcg.2002.1046630

Google Scholar

[7] Wren, C. R., Azarbayejani, A., Darrell, T., & Pentland, A. P. (1997). Pfinder: Real-time tracking of the human body. , Pattern Analysis and Machine Intelligence, IEEE Transactions on, 19(7), 780-785.

DOI: 10.1109/34.598236

Google Scholar

[8] Rasmussen, J. (1983). Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. , Systems, Man and Cybernetics, IEEE Transactions on, (3), 257-266.

DOI: 10.1109/tsmc.1983.6313160

Google Scholar

[9] Pavlovic, V. I., Sharma, R., & Huang, T. S. (1997). Visual interpretation of hand gestures for human-computer interaction: A review. , Pattern Analysis and Machine Intelligence, IEEE Transactions on, 19(7), 677-695.

DOI: 10.1109/34.598226

Google Scholar

[10] Wang, Youwen, et al. Kinect Based Dynamic Hand Gesture Recognition Algorithm Research., Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on. Vol. 1. IEEE, (2012).

DOI: 10.1109/ihmsc.2012.76

Google Scholar

[11] Li, Hui, Lei Yang, Xiaoyu Wu, Shengmiao Xu, and Youwen Wang. Static Hand Gesture Recognition Based on HOG with Kinect., In Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on, vol. 1, pp.271-273. IEEE, (2012).

DOI: 10.1109/ihmsc.2012.75

Google Scholar

[12] Qi Feng, A Smart TV Interaction System Based on Hand Gesture Recognition by Using RGB-D Sensor, unpublished.

Google Scholar