Mobile User Engagement Research Articles

Implementation on Location-Based Services Using Geofencing

Geo-fencing (geofencing) is an innovative technology that utilizes the Global Positioning System (GPS) to create virtual boundaries, enabling various applications such as electronic toll collection, contextual advertising, and tourist information systems. This system aims to explore the effectiveness of spatial data in enhancing advertising performance. By leveraging tracking systems and monitoring based on satellite navigation services, including the geofencing function, businesses can accurately pinpoint their locations, boost sales, and improve overall efficiency. Geofencing facilitates remote monitoring of defined geographic areas through virtual fences, allowing for automatic detections when tracked mobile objects enter or exit these areas. This paper introduces the fundamental concepts of geofencing and explores its applications in the transportation and logistics sector. Key Words: Geofence boundaries, Shopping app, User preferences, Geofence triggers, GPS technology, User notifications, Marketing strategy, Mobile commerce, Location-aware technology, Mobile user engagement, Retail industry.

A Structured Analysis of mGovernment Apps and User Engagement

This article examines mobile apps as a service provided through mobile government (mGovernment). Mobile apps were more typically associated with non-government businesses but are now growing in the public sector. The primary research question motivating this study is how are governments facilitating user engagement via their mobile devices through mGovernment? This study uses a citizen-consumer perspective with a theoretical framework based on the mobile user engagement model (MoEN) (Kim, Kim, & Wachter, 2013) to examine mGovernment apps. The results indicate that there are opportunities in the public sector to achieve a higher level of interaction and engagement between governments and their mobile constituents.

Lightweight Contextual Ranking of City Pictures: Urban Sociology to the Rescue

To increase mobile user engagement, photo sharing sites are trying to identify interesting and memorable pictures. Past proposals for identifying such pictures have relied on either metadata (e.g., likes) or visual features. In practice, techniques based on those two inputs do not always work: metadata is sparse (only few pictures have considerable number of likes), and extracting visual features is computationally expensive. In mobile solutions, geo-referenced content becomes increasingly important. The premise behind this work is that pictures of a neighborhood is linked to the way the neighborhood is perceived by people: whether it is, for instance, distinctive and beautiful or not. Since 1970s, urban theories proposed by Lynch, Milgram and Peterson aimed at systematically capturing the way people perceive neighborhoods. Here we tested whether those theories could be put to use for automatically identifying appealing city pictures. We did so by gathering geo-referenced Flickr pictures in the city of London; selecting six urban qualities associated with those urban theories; computing proxies for those qualities from online social media data; and ranking Flickr pictures based on those proxies. We find that our proposal enjoys three main desirable properties: it is effective, scalable, and aware of contextual changes such as time of day and weather condition. All this suggests new promising research directions for multi-modal learning approaches that automatically identify appealing city pictures.

A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention

The growth of mobile technology mediated environments is accelerated by its accessibility and easy use tools, such as smartphones and tablets. User friendly and intuitive features drive user value and satisfaction. These features motivate and drive further mobile user engagement. Smartphones, for example, allow users to control when, where, and how they engage in chosen activities that serve their needs, saving time, completing a task (utilitarian), entertain them (hedonic), or connect with others (social). Few studies have examined why and how mobile users are continually engaging mobile activities. Focusing on mobile engagement which has not previously been explored, this study investigates, proposes, and tests a mobile user engagement (MoEN) model to explain mobile user engagement intention through user's motivations, perceived value and satisfaction. Findings indicate that mobile users' engagement motivations do influence perceived value, satisfaction and mobile engagement intention.