Abstract
Informative directories have always responded to a fundamental need of humanity: providing available information around people. However, the escalating amount of content to be visualized on directories makes relevant information search extremely time-consuming. Meanwhile, digital displays based on screen-smart device interaction become an emerging interface of smart services to deal with daily-life challenges like information seeking. Also, multimedia content, such as movies, can be understood by multimedia analytics for recommendation, but there is no effective way to visualize the content of a directory. This paper proposes a novel directory visualization framework, called analytics-driven dynamic visualization on digital directory (AVDD): understanding user preferences via smartphone-based interaction and optimizing visualization by visual analytics in terms of high content relevancy and screen utilization for advanced directories. With experiments in laboratory and real-world settings, AVDD is proven to be effective for visualizing directory with screen utilization over 98% and the score for Likert-scale surveys achieving 73% on average in a movie directory.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
