As a graduate student, one of the fundamental techniques to gather research for a paper is the use of an Annotated Bibliography. Furthermore, as a human-computer interaction researcher, finding relev
As a graduate student, one of the fundamental techniques to gather research for a paper is the use of an Annotated Bibliography. Furthermore, as a human-computer interaction researcher, finding relevant literature to support a study is also part of preparing an analytical research paper. For this assignment, you’ve been assigned a topic (see below). You’ve also been assigned to a specific group (see Groups in Blackboard).
Each member of the group is to find five UNIQUE references. These references are to be scholarly papers, not wiki, blog, or Website entries. Do not include textbooks or trade publications either. The use of Google Scholar is STRONGLY recommended. IMPORTANT: To support your research journey, read the Levy & Ellis (2006) article on how to maximize your research opportunities in Information Systems Research. For the annotated bibliography, if your team has three (3) members, I expect to see UNIQUE entries. For four (4) members, your team should submit a deliverable with twenty (20) entries. Your assigned topic is as follows:
- GROUP 5: Mobile HCI
To receive full credit, your entry must have a PROPERLY cited APA citation and a description of the article that is 100-125 words. Entries must be free of grammatical and spelling errors to receive full credit.
An example entry that would yield a full score is:
Hyman, J. A. (2015). Developing Instructional Materials and Assessments for Mobile Learning. In International Handbook of E-Learning Volume 1 (pp. 347-358). Routledge In Hyman (2015), a review of the required elements needed to create instructional materials for an e-learning and m-learning setting is identified. Hyman then proposes a mobile learning framework that focuses on design, environment, activity, and technology to guide the courseware developer in creating user-friendly yet meaningful instruction that is targeted for delivery in the mobile context.
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Annotated Bibliography
Group #5: Mobile HCI
Pramesh Thapa Magar
Nirmay Patel
Shah Omer Hussain Syed
Manishanthan Annam
University of the Cumberlands, Kentucky
Human-Computer Inter & Usability (ITS-536-B05) – Second Bi-Term
Dr. Kondo Litchmore
August 14, 2022
Annotated Bibliography
Jumisko-Pyykko, S. & Vainio, T. (2010). Framing the context of use for mobile HCI. International Journal of Mobile Human-Computer Interaction. https://doi.org/10.4018/jmhci.2010100101
The research paper continues the provide a better understanding of the context of use for mobile HCI by studying the previous papers. It shows the attributes associated with mobile contexts and their linkage to technical, social, and physical components. The paper describes the five different components with their subcomponents and properties to represent the context of use for mobile human-computer interaction (Jumisko-Pyykko & Vainio, 2010).
Kjeldskov, J. & Graham, C. (2003). A review of mobile HCI research methods. International Conference on Mobile Human-Computer Interaction. https://doi.org/10.1007/978-3-540-45233-1_23
The paper reviews the various research methods used to research the field of mobile HCI and lists the drawbacks of the current research methods. The paper mentions the bias in the present research methods such as case studies, field studies, survey research, and others in system making and lack of research. The papers will give a new way for researchers to conduct research on mobile HCI for future research (Kjeldskov & Graham, 2003).
Kjeldskov, J. & Paay, J. (2012). A longitudinal review of mobile HCI research methods. In Proceedings of the 14th International Conference on Human-Computer Interaction with Mobile Devices (pp. 69-78). https://doi.org/10.1145/2371574.2371586
The research paper shows the change in the research in the mobile HCI field over ten years. It compares the research techniques from 2003 and 2010 and shows the analysis of changing the techniques over time. Earlier the research was more dependent on engineering and applied research, whereas present research involves case studies, surveys, field studies, and analysis of each factor. There are multiple methods used for research in current times compared to the decade before (Kjeldskov & Paay, 2012).
Parhi, P., Karlson, A., & Bederson, B. B. (2006). Target size study for one-handed thumb use on small touchscreen devices. In Proceedings of MobileHCI 2006. Association for Computing Machinery, Inc. https://doi.org/10.1145/1152215.1152260
The research paper shows the study in two phases to decide the perfect size for small touch screen devices for one-handed thumb use. In the first phase, the study focuses on the smaller tasks such as clicking buttons and selecting radio buttons and checkboxes. In the second phase, the study focuses on widgets-related tasks such as multiple tapping such as form filling. The study uses 9.2 mm screen size and 7.7 mm screen size and finds that 9.2 mm screen size is very large for one-handed thumb use devices (Parhi et al., 2006).
Tamminen, S., Oulasvirta, A., Toiskallio, K., & Kankainen, A. (2004). Understanding Mobile Contexts. International Conference on Mobile Human-Computer Interaction. https://doi.org/10.1007/978-3-540-45233-1_3
The research paper shows the study of 25 urbanites of different groups such as mothers, aged people, and people between the age of 10 to 19 to understand their perspective regarding the mobile context. The paper also includes the various instances of overviewing factors of multitasking, providing solutions to navigational problems, and problems related to design for mobile contexts (Tamminen et al., 2004).
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(Crestani et al., 2004) The proliferation of mobile devices and the ubiquity of computing and networking technologies have revolutionized how we access information. Mobile and ubiquitous information access is now an essential issue in human-computer interaction, information retrieval, and computer-supported cooperative work.
The International Workshop on Mobile and Ubiquitous Information Access (MobileHCI) was held in Udine, Italy, on September 8, 2003. It included user interface design issues, novel interaction techniques, context-aware applications, collaborative systems, and social implications of mobile computing. They provide a snapshot of the state-of-the-art in this rapidly evolving field. They will interest researchers and practitioners in human-computer interaction, information retrieval, and computer-supported cooperative work.
The workshop was organized by Fabio Crestani, Mark Dunlop, and Stefano Mizzaro. It was in conjunction with the Ninth International Conference on Human-Computer Interaction (HCI International 2003).
(Bace et al.,2020) Part of this is that it's challenging to quantify visual attention in mobile HCI. In a recent paper, Bace et al. tried to address this challenge by quantifying how often and for how long users look at their mobile devices.
The researchers found that, on average, users look at their devices around 46 times per day. They also found that users spend more time looking at their instruments when using them for communication purposes, such as text messaging or phone calls. This suggests a need for further research into how mobile devices can be designed to capture better and hold users' attention.
The researchers also found that users look at their devices more often in a social setting, such as a meeting or a party. This suggests that mobile devices may be distracting us from our social interactions.
In conclusion, the study provides valuable insights into how we can better understand and quantify visual attention in mobile HCI.
(Oulasvirta et al.,2005) Mobile HCI 2004 was a seminal conference on human-computer interaction with mobile technology. The meeting was highly successful, and its impact is still felt today.
The theme of the conference was "Experience and Reflection." This theme was reflected in the papers presented at the meeting, which covered a wide range of topics related to mobile HCI. The papers addressed user experience, design principles, interaction techniques, and evaluation methods in addition to these technical papers, keynote speeches, and panel discussions on various aspects of mobile HCI.
The Mobile HCI 2004 conference was an important event in the history of mobile HCI. It helped establish the field as a central research area, and its papers have significantly impacted how mobile HCI is conducted today.
(Jia, 2014) The limited display space of mobile devices is inadequate for simultaneously displaying all the information needed in context. This paper proposes a novel mobile HCI optimization method to optimize the user interface and better use the limited display space. This method uses RFID tags to store contextual information and utilizes wireless sensor networks to collect real-time data. The proposed method can not only optimize the user interface but also improve the usability of mobile devices.
With the rapid development of mobile technologies, more and more people use mobile devices such as smartphones and tablets in their daily lives. However, the user interface (UI) is usually straightforward and essential due to the limited size of mobile devices. This can be a big problem, mainly when we use mobile devices for complex tasks requiring much information to be displayed simultaneously.
This paper proposes a novel mobile HCI optimization method to solve this problem. This method uses RFID tags to store contextual information and utilizes wireless sensor networks to collect real-time data. The proposed method can not only optimize the user interface but also improve the usability of mobile devices.
This can significantly improve the usability of mobile devices and make them more suitable for complex tasks. In addition, the proposed method is very flexible and can be easily adapted to different types of mobile devices.
For example, it can be used in smart homes, office buildings, factories, hospitals, etc., to provide users with relevant information about their surroundings. It can also be used in education and training to give students real-time feedback about their performance.
In conclusion, the proposed method is a promising solution to the limited display space on mobile devices. It has excellent potential to improve the usability of mobile devices and make them more suitable for complex tasks.
(Leiva, 2021) Mobile user interfaces understand how visual saliency affects where users look. Previous research on visual saliency has focused primarily on desktop and web-based user interfaces, but mobile app UIs differ in several respects.
The study looked at 30 participants and 193 mobile user interfaces to better understand how visual saliency affects mobile UI design. We found that users have a strong bias toward the top-left corner of mobile app UIs, likely due to their expectations about how apps are organized.
These findings suggest designers should keep visual saliency when creating mobile app UIs. By understanding how users tend to look at mobile app UIs, designers can create more effective interfaces that better meet users' needs.
References
Bace, Staal, S., & Bulling, A. (2020). How Far Are We From Quantifying Visual Attention in Mobile HCI? IEEE Pervasive Computing, 19(2), 46–55. https://doi.org/10.1109/MPRV.2020.2967736
Crestani, Dunlop, M., & Mizzaro, S. (2004). Mobile and Ubiquitous Information Access Mobile HCI 2003 International Workshop, Udine, Italy, September 8, 2003, Revised and Invited Papers(Crestani, M. Dunlop, & S. Mizzaro, Eds.; 1st ed. 2004.). Springer Berlin Heidelberg. https://doi.org/10.1007/b95483
Leiva, Xue, Y., Bansal, A., Tavakoli, H. R., Köroğlu, T., Dayama, N. R., & Oulasvirta, A. (2021). Understanding Visual Saliency in Mobile User Interfaces. arXiv.org. https://doi.org/10.1145/3379503.3403557
Jia. (2014). Mobile HCI Optimization Based on RFID and Wireless Sensor Networks. Sensors & Transducers, 167(3), 161–161.
Oulasvirta, Tamminen, S., Roto, V., & Kuorelahti, J. (2005). Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI. Conference on Human Factors in Computing Systems: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; 02-07 Apr. 2005, 919–928. https://doi.org/10.1145/1054972.1055101
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