Analytics-Driven Visualization on Digital Directory via Screen-Smart Device Interactions

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.