Review
Health Care Sciences & Services
Ben Joseph Philip, Mohamed Abdelrazek, Alessio Bonti, Scott Barnett, John Grundy
Summary: This study aims to analyze the data collection aspect of mHealth apps and found that only a small number of apps use built-in sensors or peripherals for collecting health data. The use of Bluetooth is also limited. Further research is needed to explore the use of sensors for data collection and improve user experience.
JMIR MHEALTH AND UHEALTH
(2022)
Article
Public, Environmental & Occupational Health
Elton H. Lobo, Mohamed Abdelrazek, Anne Frolich, Lene J. Rasmussen, Patricia M. Livingston, Sheikh Mohammed Shariful Islam, Finn Kensing, John Grundy
Summary: This study aims to identify the user experience issues of stroke caregiving apps by analyzing user reviews, in order to guide future app development. The findings highlight critical issues that decrease user satisfaction and increase frustration, emphasizing the importance of understanding user needs during the development process.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Computer Science, Software Engineering
Peter Devine, Yun Sing Koh, Kelly Blincoe
Summary: Understanding user needs is crucial for high quality software. This study evaluates machine learning classifiers' performance on feedback for bug reports and feature requests. The results show that using channel-specific metadata as features does not significantly improve classification performance, and classifiers do not perform well on unseen datasets. Rating: 8 out of 10.
EMPIRICAL SOFTWARE ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Shanquan Gao, Yihui Wang, Huaxiao Liu
Summary: The study proposes a function layout analysis method called UiAnalyzer to help app developers evaluate the conformity of their UI's function layout with design conventions. The method compares the analyzed UI with similar UIs, generates semantic wireframes, extracts visual features, and determines the abnormality of the UI's function layout.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Mathematics
Tinggui Chen, Lijuan Peng, Jianjun Yang, Guodong Cong
Summary: This study found that positive comments have a greater impact on the downloads of English learning applications, and suggested that adaptability and appearance requirements have a negative impact on download volume.
Article
Hospitality, Leisure, Sport & Tourism
Alana K. Dillette, Alecia C. Douglas, Carey Andrzejewski
Summary: This research investigated international wellness tourism experiences based on user-generated content on TripAdvisor.com, identifying four dimensions of the wellness tourism experience: body, mind, spirit, and environment. The study found that these dimensions can serve as mechanisms towards wellness but may also present barriers in some instances. Recommendations for planning and managing wellness tourism were discussed for each dimension.
CURRENT ISSUES IN TOURISM
(2021)
Review
Green & Sustainable Science & Technology
Maymunah Abdullatif Alismail, Abdulmohsen Saud Albesher
Summary: App stores enable developers to respond to user reviews, and this research evaluates developer responses in the banking domain in both the Apple App Store and Google Play Store. The study found that U.S. bank app developers outperformed Saudi bank app developers in terms of the number and quality of responses.
Article
Health Care Sciences & Services
Tochukwu Ikwunne, Lucy Hederman, P. J. Wall
Summary: User engagement is critical to the efficacy of mobile health interventions in the Global South, but many interventions lack user engagement features. This research emphasizes the importance of considering sociotechnical factors when developing mHealth apps.
Article
Forestry
Danqi Xing, Jun Yang, Jing Jin, Xiangyu Luo
Summary: Plant identification applications have great potential in urban forest studies and management, with the accuracy of identification being the most important factor contributing to users' satisfaction. However, the performance of these apps varies significantly among different applications, particularly when used for rare species or outside of the regions where they have been developed.
JOURNAL OF FORESTRY RESEARCH
(2021)
Article
Information Science & Library Science
Yunwen Wang, William B. Collins
Summary: Mobile fitness applications are changing the way smartphone users manage their health, with different combinations of app functions impacting user response. Function combinations, such as exercise education with tracking or gamification with tracking and social functions, play a key role in app success. Individual differences, such as age, gender, and eHealth literacy, also affect user attitudes towards different types of fitness apps.
TELEMATICS AND INFORMATICS
(2021)
Article
Business
Paula Bitrian, Isabel Buil, Sara Catalan
Summary: Drawing on the self-system model of motivational development, this study investigates how gamification might foster user engagement and positive marketing outcomes. The results showed that gamification increases user engagement through satisfaction of the needs for competence, autonomy and relatedness, leading to greater intention to use, disseminate WOM about, and to positively rate, the app. The study provides theoretical and practical implications for designing more effective gamified mobile apps.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Medicine, General & Internal
Tong Wang, Xu Zheng, Jun Liang, Kai An, Yunfan He, Mingfu Nuo, Wei Wang, Jianbo Lei
Summary: This study examines the user-generated content in mHealth apps for weight loss and explores the correlations between various topics and user satisfaction and dissatisfaction. The findings reveal significant positive and negative correlations between specific factors and user satisfaction/dissatisfaction, suggesting the importance of considering both expected and value-added attributes in improving the effectiveness of weight loss apps.
Article
Computer Science, Software Engineering
Le Yu, Haoyu Wang, Xiapu Luo, Tao Zhang, Kang Liu, Jiachi Chen, Hao Zhou, Yutian Tang, Xusheng Xiao
Summary: Removing all function errors is crucial for successful mobile apps. However, existing studies have not been able to effectively help developers locate the problematic code based on user reviews, because they primarily focus on review classification, requirements engineering, sentiment analysis, and summarization, without localizing the function errors described in user reviews in apps' code.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Qian Shen, Siteng Han, Yu Han, Xi Chen
Summary: With the development of information technology, the use of online dating apps has increased, especially during the COVID-19 pandemic. However, negative user reviews of mainstream dating apps are prevalent. This study used topic modeling and machine learning techniques to analyze and classify these negative reviews, identifying issues such as charging mechanisms, fake accounts, subscriptions, advertising push, and matching mechanisms as the main reasons for negative feedback. By proposing improvement suggestions and using dimensionality reduction and oversampling techniques, more accurate classification of user reviews can be achieved.
Review
Computer Science, Information Systems
Mengying Zhang, Maria Wolters, Yajing Wang, Lawrence Doi
Summary: This systematic review explores how smokers perceive the common functions and characteristics of smoking cessation apps. It identifies six subthemes under app functionality: education, tracking, social support, compensation, distraction, and reminding, as well as five subthemes under app characteristics: simplification, personalization, diverse content forms, interactivity, and privacy and security. The study concludes that understanding user needs and expectations is crucial for developing effective smoking cessation app interventions.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
