Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2015.060233
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 2, 2015.
Abstract: A Smart TV integrates Internet and Web features into a TV, as well convergence between computer and TV and can utilize as a computer. Smart TV devices facilitate the curation of content by combining Internet-based information with content from TV providers. Many techniques, such as those that focus on speech, gestures, and eye movement, have been used to develop various human computer interfaces for Smart TVs. However, as suggested by several researchers, user scenarios and user experiences should be incorporated with development techniques to meet user demands on Smart TVs. Thus, this study applies the service design approach for scenario planning and user experience analysis of multimodal interaction development for Smart TVs. This research begins with the service design process and derives the Quality Function Deployment matrix (QFD Matrix) for initial decision-making. Analytical Hierarchy Process (AHP) is then applied to evaluate the priority and relevance of features proposed in the QFD Matrix. Research results show the service design approach is an efficient way for an interdisciplinary team to communicate. The proposed two-stage decision-making processes provide qualitatively analyze and quantitatively measure the priority and relevance of features derived from the service design process. The technique team can then develop prototypes that facilitate multimodal human-computer interaction on Smart TVs.
Sheng-Ming Wang and Cheih-Ju Huang, “Service Design for Developing Multimodal Human-Computer Interaction for Smart Tvs” International Journal of Advanced Computer Science and Applications(IJACSA), 6(2), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060233