Title :
Eye-Tracking Experiment Design for Extraction of Viewing Patterns in Social Media
Author :
Guangyu Piao ; Qun Jin ; Xiaokang Zhou ; Nishimura, S. ; Wattanachote, Kanoksak ; Shih, Timothy K. ; Yen, Neil Y.
Author_Institution :
Grad. Sch. of Human Sci., Waseda Univ., Tokorozawa, Japan
Abstract :
Recently, eye-tracking has been widely applied in a wide spectrum of fields for both academic researches and Business. In this study, we concentrate on the analysis of instant (and often subconscious) information generated from interactions between an individual and devices, such as a PC, laptop, and mobile phone. We present the experiment design to capture and extract the viewing patterns in Twitter using the eye-tracking technology. We show a set of experiment results based on the analysis of eye gazing data, in order to demonstrate how the subjects look for specified keywords in the Twitter timeline, which can further contribute to categorization of viewing patterns.
Keywords :
behavioural sciences computing; data analysis; human computer interaction; information analysis; object tracking; social networking (online); PC; Twitter timeline; eye gazing data analysis; eye-tracking experiment design; human-computer interaction; instant information analysis; laptop; mobile phone; social media; viewing pattern extraction; Business; Conferences; Data mining; Educational institutions; Feature extraction; Tracking; Twitter; browsing behavior; eye-tracking; gaze patterns; social media;
Conference_Titel :
Ubiquitous Intelligence and Computing, 2013 IEEE 10th International Conference on and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC)
Conference_Location :
Vietri sul Mere
Print_ISBN :
978-1-4799-2481-3
DOI :
10.1109/UIC-ATC.2013.45
