Behavioral Intention to Use Mobile Reading Apps Among Female Students in Chengdu, China

Purpose: This paper analyzes the factors affecting behavioral intentions of female students in Chengdu, China, to use and purchase mobile reading applications. The conceptual framework proposes the causal relationship among perceived value, satisfaction, service quality, trust, social influence, perceived usefulness, perceived ease of use and behavioral intention. Research design, data, and methodology: In this study, 840 female students were investigated by using judgmental, stratified random, and convenience sampling. The primary data collection tool was a questionnaire. Statistical software was used for data analysis, using confirmatory factor analysis (CFA) and structural equation model (SEM). The validity and reliability test were accounted to verify the data. Results: Perceived value and service quality significantly impact satisfaction towards trust and behavioral intention. Perceived ease of use has a significant impact on perceived usefulness. Furthermore, behavioral intention is significantly impacted by social influence and perceived usefulness but not by perceived ease of use. Conclusion: Software developers should pay attention to consumer needs to be able to attract college students with high-quality content and ensure payment security. To sum up, the findings are helpful for mobile reading developers to enhance the behavioral intention to purchase and use the mobile reading apps in China

Factors Impacting Male Students’ Behavioral Intentions to Purchase Mobile Reading Apps in Chengdu, China

Purpose: This study aims to analyze the factors impacting male students’ behavioral intention to purchase mobile reading apps in Chengdu, China. The conceptual framework contains key variables which are perceived value, satisfaction, service quality, trust, social influence, perceived usefulness, and perceived ease of use. Research design, data, and methodology: The online and offline questionnaires were distributed to 500 male students, using judgmental, stratified random and convenience sampling methods. For the data analysis, confirmatory factor analysis (CFA) and structural equation model (SEM) were employed to test measurement and structural models. Additionally, validity, reliability and goodness of fits were assessed. Results: The results explicated that perceived value and service quality are the predictors of satisfaction towards trust and behavioral intention. Furthermore, behavioral intention is significantly influenced by social influence perceived usefulness and perceived ease of use. Nevertheless, perceived ease of use has no significant impact on perceived usefulness. Conclusion: Eight hypotheses were proven to fulfill research objectives. Software developers should pay attention to consumer needs and attract college students with high-quality content, make sure of the security of payment, focus on the applicability, and provide knowledge that meets the needs of college students

A Tool to Analyze the Reading Behavior of the Users in a Mobile Digital Publishing Platform

Abstract. In their daily activities, users interact multiple times with mobile applications. This generates huge amounts of data related to these interactions that, when filtered and analyzed, would give insights on the behavior of the users while using an application. In this paper, we consider a real-world mobile digital publishing platform, named Viewerplus, which enables a digital, augmented fruition of content from traditional magazines. The objective is to develop a tool that allows the human editors to analyze the reading behavior of the users, by providing analytics that show how the users read magazine issues (i.e., how they browse an issue and move inside the app, which portions of an issue are most frequently read and which frequency, and which topics are of interest for the users during a reading session). The tool has been developed by employing a dataset extracted from the reading sessions of a magazine of an important international publisher. In this work we also employ the dataset to present a preliminary study of the user reading behavior

Survey Of Mobile Phone Usage Patterns Among Street Vendors

Abstract: The purpose of this exploratory study i

Understanding and improving mobile reading via scalable and low cost sensing

In recent years, due to the increasing ubiquity of Internet and mobile devices, mobile reading on smart watches and smartphones is experiencing rapid growth. Despite the great potential, new challenges are brought. Compared to traditional reading, mobile reading faces major challenges such as encountering more frequent distractions and lacking portable and efficient technique to deeply understand and improve it. Fortunately, the development of the hardware and software of mobile devices provide an opportunity to track users’ behavior and physiological signals accurately in a low-cost and portable manner. In this thesis, I explored the usage of low-cost mobile sensors to solve the measurement challenges of reading. I used the low-cost mobile sensing techniques on mobile devices to understand and improve the degree and quality of reading. In this thesis, I first present SmartRSVP, a reading interface on smart watches that leverages eye-gaze contact tracking technique and heart rate sensing technique to facilitate reading under distractions. I then present Lepton, an intelligent reading system on smart phones that tracks eye-gaze periodical patterns and sensing the screen touching behavior to monitor readers’ cognitions and emotions during reading. Lastly, I present StrategicReading, which uses the implicitly captured eye gaze patterns, scrolling motions, and log histories to monitor users’ reading strategies and performance during multiple-sources online reading