Annotated Bibliography
Group #5: Mobile HCI
Learner
Affiliation
Professor
Course
Date
Annotated Bibliography
Okeke, F., Sobolev, M., & Estrin, D. (2018). Towards a framework for mobile behavior change research. In Proceedings of the Technology, Mind, and Society.
https://dl.acm.org/doi/abs/10.1145/3183654.3183706
In this article, Okeke explores the Mobile HCI and further evaluate the mobile HCI research methods that individuals in different sectors can use. The authors display that Mobile HCI changed methodologically. The Authors show that the Mobile HCI was driven by engineering and applied research. However, the present Mobile HCI is empirically driven and involved in various field studies. The article focuses on discussing and having a better understanding of engineering. The authors quote the book titled “A longitudinal review of Mobile HCI research methods,” which assists us in having a better understanding of the Mobile HCI methods. Despite these, the source offers a scholarly approach that analyzes the new opportunities and challenges Mobile HCI faces.
McMillan, D., Morrison, A., & Chalmers, M. (2013, April). Categorized ethical guidelines for large-scale mobile HCI. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
https://dl.acm.org/doi/abs/10.1145/2470654.2466245
The podcast is a conversation with McMillan concerning the new book titled “Categorised ethical guidelines for large scale Mobile HCI. The podcast displays a piece of detailed and insightful information about the current rise in the large-scale trials of mobile software through the use of app stores. It has moved the current research practice above the available ethical guidelines required. The author further evaluates a set of ethical guidelines for the large-scale Mobile HCI user trials. The article is essential since McMillan displays how researchers can utilize their framework to classify future user trials and outline ethical responsibility and the steps required to meet all these obligations.
Morrison, A., McMillan, D., & Chalmers, M. (2014, October). Improving consent in large-scale mobile HCI through personalized representations of data. In Proceedings of the 8th Nordic conference on human-computer interaction: Fun, fast, foundational. https://dl.acm.org/doi/abs/10.1145/2639189.2639239
Morrison et al. (2020) outline that in utilizing app store-style software to distribute the research applications, challenges may arise when gathering information from potential participants. The article evaluates more information concerning the user trials’ terms and conditions. However, the authors fail to communicate and display relevant information to the potential users. The study is vital as it experiments with various ways of displaying information and permits the opt-out mechanism for the users.
Carvalho, R. M., de Castro Andrade, R. M., & de Oliveira, K. M. (2018). AQUArIUM-A suite of software measures for HCI quality evaluation of ubiquitous mobile applications. Journal of Systems and Software. https://www.sciencedirect.com/science/article/abs/pii/S0164121217302728
The scholarly source explains how computing changed how users interact with technology. Then, the article displays that the application of Mobile HCI is everywhere, thus supporting the day-to-day activities of the users in a transparent way. Therefore, the study is essential because it helps ensure that these applications are adopted and access quality interaction with their users.
de Andrade Cardieri, G., & Zaina, L. M. (2018, October). Analyzing user experience in mobile web, native and progressive web applications: A User and HCI specialist perspectives. In Proceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems https://dl.acm.org/doi/abs/10.1145/3274192.3274201
de Andrade Cardieri & Zaina (2018) states that a Progressive Web App is the current method for establishing and developing a mobile application proposed by Google. The article discusses the combination of both web and native applications. However, the article evaluates the challenges faced when designing interfaces for various application platforms, which include web and native Android. The study is crucial as it displays an experimental study with participants who explored the user’s aspects on different platforms.
References
Carvalho, R. M., de Castro Andrade, R. M., & de Oliveira, K. M. (2018). AQUArIUM-A suite of software measures for HCI quality evaluation of ubiquitous mobile applications. Journal of Systems and Software, 136, 101-136.
https://www.sciencedirect.com/science/article/abs/pii/S0164121217302728
de Andrade Cardieri, G., & Zaina, L. M. (2018, October). Analyzing user experience in mobile web, native and progressive web applications: A User and HCI specialist perspectives. In Proceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems (pp. 1-11).
https://dl.acm.org/doi/abs/10.1145/3274192.3274201
McMillan, D., Morrison, A., & Chalmers, M. (2013, April). Categorized ethical guidelines for large-scale mobile HCI. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1853-1862).
https://dl.acm.org/doi/abs/10.1145/2470654.2466245
Morrison, A., McMillan, D., & Chalmers, M. (2014, October). Improving consent in large-scale mobile HCI through personalized representations of data. In Proceedings of the 8th Nordic conference on human-computer interaction: Fun, fast, foundational (pp. 471-480).
https://dl.acm.org/doi/abs/10.1145/2639189.2639239
Okeke, F., Sobolev, M., & Estrin, D. (2018). Towards a framework for mobile behavior change research. In Proceedings of the Technology, Mind, and Society (pp. 1-6). https://dl.acm.org/doi/abs/10.1145/3183654.3183706