Yingzi Lin

Miaolin Fan, Chun-An Chou, Sheng-Che Yen et al.

Characterizing the dynamic interactive patterns of complex systems helps gain in-depth understanding of how components interrelate with each other while performing certain functions as a whole. In this study, we present a novel multimodal data fusion approach to construct a complex network, which models the interactions of biological subsystems in the human body under emotional states through physiological responses. Joint recurrence plot and temporal network metrics are employed to integrate the multimodal information at the signal level. A benchmark public dataset of is used for evaluating our model.

Zeliang Cheng, Vahab Vahdat, Yingzi Lin

With the popularization of cell phones, laptops, and tablets, Liquid Crystal Displays (LCDs) have become one of the main types of User Interface (UI) in the modern world. While LCDs are widely used for retrieving text information, the impact of text formatting on the legibility is often overlooked. With the goal of improving recognition efficiency (RE) on LCDs, this paper studies the impact of font-background colors on RE of texts being presented on LCD. For this purpose, difference between font/background color combinations, Primary Color Difference (PCD), is introduced that brings efficient RE assessment under wider spectrum. Accordingly, a testing platform is designed in C#. NET that captures participants response time to different font-background color combination stimuli. Based on the results, black background and green font color outperform other tested colors especially when the PCD is maximized. In correspond to results, Implications for using research outcome in prototype LCDs are suggested.