Measuring Web Page Revisitation in Tabbed Browsing

Measuring Web Page Revisitation in Tabbed Browsing

Authors

Haimo Zhang, Shengdong Zhao

Paper

Video

Abstract

Browsing the web has been shown to be a highly recurrent activity. Aimed to optimize the browsing experience, extensive previous research has been carried out on users’ revisitation behavior. However, the conventional definition for revisitation, which only considers page loading activities, largely underestimates the revisitation activities with tabbed browsers. Thus, we introduce a goal-oriented definition and a refined revisitation measurement based on page viewings in tabbed browsers. An empirical analysis of statistics taken from a client-side log study showed that although the overall revisitation rate remained relatively constant, tabbed browsing has introduced new behaviors, which should be addressed in the design of new browsing interfaces and features.

Author Keywords

Web revisitation, tabbed browsing, effective revisitation.

ACM Classification Keywords

H5.m. Information interfaces and presentation (e.g., HCI): Miscellaneous.

General Terms

Human factors

Shen

Shen is an HCI professor at the National University of Singapore working on realizing his vision of HeadsUp Computing, a new Interaction paradigm that can transform the way we live and interact with computers. In his free time, Shen loves to read, run, spend time with family and friends, and explore nature.

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