User Requirements Analysis for the Development of Assistive Navigation Mobile Apps for Blind and Visually Impaired People
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
User Requirements Analysis for the Development of Assistive Navigation Mobile Apps for Blind and Visually Impaired People

Authors: Paraskevi Theodorou, Apostolos Meliones

Abstract:

In the context of the development process of two assistive navigation mobile apps for blind and visually impaired people (BVI) an extensive qualitative analysis of the requirements of potential users has been conducted. The analysis was based on interviews with BVIs and aimed to elicit not only their needs with respect to autonomous navigation but also their preferences on specific features of the apps under development. The elicited requirements were structured into four main categories, namely, requirements concerning the capabilities, functionality and usability of the apps, as well as compatibility requirements with respect to other apps and services. The main categories were then further divided into nine sub-categories. This classification, along with its content, aims to become a useful tool for the researcher or the developer who is involved in the development of digital services for BVI.

Keywords: Accessibility, assistive mobile apps, blind and visually impaired people, user requirements analysis.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3607890

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 875

References:


[1] Strumio P., "Electronic Interfaces Aiding the Visually Impaired in Environmental Access, Mobility and Navigation," in Proc. 3rd International Conference on Human System Interaction, Rzeszów, Poland, 2010, pp. 17-24.
[2] Bourne et al. (2017). Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. The Lancet Global Health 5 (9), e888-e897, ISSN 2214-109X, https://doi.org/10.1016/S2214-109X(17)30293-0. https://www.sciencedirect.com/science/article/pii/S2214109X17302930
[3] Csapó, Á., Wersényi, G., Nagy, H., & Stockman, T. (2015). A survey of assistive technologies and applications for blind users on mobile platforms: a review and foundation for research. Journal on Multimodal User Interfaces, 9(4), 275-286. doi:10.1007/s12193-015-0182-7
[4] Brown, R., Ryu, H., & Parsons, D. (2006). Mobile helper for university students. Proceedings of the 20th conference of the computer-human interaction special interest group (CHISIG) of Australia on Computer-human interaction: design: activities, artefacts and environments - OZCHI '06. doi:10.1145/1228175.1228227
[5] Lalmas M, O’Brien H, Yom-Tov E. Measuring user engagement. Synthesis Lectures on Information Concepts, Retrieval, and Services. 2014; 6(4):1–132. https://doi.org/10.2200/S00605ED1V01Y201410ICR038
[6] Bickmore, T., Schulman, D. & Yin, L. (2010) Maintaining engagement in long-term interventions with relational agents, Applied Artificial Intelligence, 24:6, 648-666, doi: 10.1080/08839514.2010.492259
[7] Noorhidawati, A., Ghalebandi, S., & Siti Hajar, R. (2015). How do young children engage with mobile apps? Cognitive, psychomotor, and affective perspective. Computers & Education, 87, 385-395. doi:10.1016/j.compedu.2015.07.005
[8] Marks, D., Cremin, L., Sneider, A., Laxton, T., McPhee, I., & Marks, L. (2013). Does use of touch screen computer technology improve classroom engagement in children? The Online Educational Research Journal. http://www.oerj.org/View?action¼viewPaper&paper¼81. Last accessed 24.02.201