UNIVERSITY PARK, Pa. — With countless mobile apps available to every-day consumers — from breaking news and social media to gaming and e-books — content producers of reading apps continue to face the challenge of engaging and retaining their users. Faster loading times and incentives like free book chapters and credits may make an e-reader the “one app to rule them all,” or at least keep users reading, according to new research from Penn State.
A new study examines the impact of content loading time and previous reading behavior on consumers' engagement and content consumption on an e-books mobile app. The paper, titled “Understanding of the dynamics of mobile reading: An HMM model of user engagement and content consumption,” was developed to help app designers and content providers to engage with digital readers by understanding their engagement patterns and consumption decisions.
Lei Wang, assistant professor of information systems in the Penn State Smeal College of Business, said understanding consumers’ engagement and subsequent content consumption behavior in the mobile context is critical to the success of mobile app providers.
Wang noted that the number of mobile users in the United States in 2021 reached almost 300 million and that the average person spends more than five hours daily on a mobile device. Additionally, the online book market continues to widen and is projected to reach nearly $25 billion by 2026, up from $19 billion in 2021.
“We are among the first to empirically examine how the delay, as an operational factor, drives user mobile content consumption behavior,” Wang said. “Apps are designed for various purposes, such as fast news sharing, connecting with friends, and watching short videos. Each app appeals to consumers in different dimensions. In this research, we focused on an e-reading app that facilitates consumers’ reading on their smartphones in their fragmented spare time, such as waiting for the train, taking a bus or having a lunch break.”
Wang’s research leveraged a Hidden Markov Model to estimate how a consumer interacts with an app and how his or her level of interest and interactions changes over time. The model allowed the researchers to study “hidden” variables — in this case, how users interacted with an app over time and what factors influenced their decisions — by focusing on variables they could measure. Specifically, they examined the number of books and chapters users read and the amount of money spent on digital books.