Development of Behavior Profile of Users with Visual Impairment
The interaction of the user with visual impairment with assistive technologies, and in particular with screen readers, generates a group of actions and events during their navigation. These interactions are defined as behavioral patterns, which have a sequence that occurs at specific time slot. Understanding user behavior by analyzing their interaction with applications, in addition, details the characteristics, relationships, structures and functions of the sequence of actions in a specific application domain. The objective of this document is to find activity patterns from a set of commands used by the user, combining data mining and a Bayesian model. This model calculates the probability of the functions used with the screen reader and generates a behavior profile to improve the user experience. For this study, the screen reader JAWS version 2018, the Open Journal Systems platform version 3.0.1 and a computer with Windows 10 operating system were used. During the first phase, command history used by the user by interacting with the Open Journal Systems platform were collected. The result is that the accessibility of users with visual impairment to interact with the computer and its applications has been improved by applying this model.
KeywordsUser Visual impairment Assistive technologies Patterns
- 1.Bourne, R.R., Flaxman, S.R., Braithwaite, T., Cicinelli, M.V., Das, A., Jonas, J.B., Naidoo, K.: Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. Lancet Glob. Health 5(9), e888–e897 (2017)CrossRefGoogle Scholar
- 4.Buzzi, M. C., Buzzi, M., Leporini, B., Mori, G., Penichet, V.M.: Collaborative editing: collaboration, awareness and accessibility issues for the blind. In: OTM Confederated International Conferences “On the Move to Meaningful Internet Systems”, pp. 567–573. Springer, Heidelberg, October 2014CrossRefGoogle Scholar
- 8.Verma, P., Singh, R.: Developing speech-based web browsers for visually impaired users. In: Speech and Language Processing for Human-Machine Communications, pp. 107–118. Springer, Singapore (2018)Google Scholar
- 9.de Oliveira, S.T., Bozo, J.V., Okimoto, M.L.L.R.: Assistive technology for people with low vision: equipment for accessibility of visual information. In: Advances in Ergonomics in Design, pp. 701–710. Springer, Cham (2016)Google Scholar
- 11.Swersey, A.J., Colberg, J., Evans, R., Kattan, M.W., Ledolter, J., Parker, R.: Decision models for distinguishing between clinically insignificant and significant tumors in prostate cancer biopsies: an application of Bayes’ Theorem to reduce costs and improve outcomes. Health Care Manage. Sci. 1–15 (2019)Google Scholar