Characterizing web use on smartphones

Abstract

The current paper establishes empirical patterns associated with mobile internet use on smartphones and explores user differences in these behaviors. We apply a naturalistic and longitudinal logs-based approach to collect real usage data from 24 iPhone users in the wild. These data are used to describe smartphone usage and analyze revisitation patterns of web browsers, native applications, and physical locations where phones are used. Among our findings are that web page revisitation through browsers occurred very infrequently (approximately 25% of URLs are revisited by each user), bookmarks were used sparingly, physical traversing patterns mirrored virtual (internet) traversing patterns and users systematically differed in their web use. We characterize these differences and suggest ways to support users with enhanced design of smartphone technologies and content.

Bipolar Emotional Response Testing of Online News Website Content: Indonesia Case

“…It means that the participants are confused to respond to the content display emotionally. The different polarization supports the Tossell"s statement that the way of the users to access various websites depends on the technology and platform used [23].…”

“…In addition, emotional response could also construct a customer or user e-satisfaction when accessing online website [22]. While accesing online website, the user could be identified based on technology device (personal computer, laptop, tablet or smartphone) and web browser platform (mobile and non-mobile web browser) [23]. Therefore, this study explores the importance of measuring emotional response in various technology devices and platform used to access online news websites.…”

A middleware framework for application-aware and user-specific energy optimization in smart mobile devices

“…In [52] the authors demonstrated from a two month smartphone usage study that all users have unique device usage patterns. Many other works [3,[53][54][55][56][57][58][59] utilize data gathered from groups of real smartphone users to emphasize this same conclusion. The conclusions of these studies are in line with those of our user studies that we performed as part of this work, as well as in our prior work [37].…”

Characterization of web browser usage on smartphones

“…The empirical patterns associated with the mobile internet usage were identified in Tossell, Kortum, Rahmati, Shepard, and Zhong (2012). There were 24 participants of 19.2 years average age in this study.…”