Graduation Semester and Year
2017
Language
English
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Computer Science and Engineering
First Advisor
Matthew Wright
Second Advisor
Gergely Zaruba
Abstract
Traditional user-chosen passwords often offer weak password security and are prone to password reuse and password patterns whereas system-assigned passwords are secure but fail to provide sufficient memorability. LDs are problems that affect the brain’s ability to receive, process, analyze and store information, i.e. they are disorders of neurologically-based processing. These problems can make it difficult for an individual to learn as quickly and accurately as someone who isn’t affected with learning disabilities. Learning disability cannot be cured or fixed but may make it hard to learn and use passwords. With right assistance and with unique learning strategies, we may hopefully produce an authentication system to compensate for the weakness. CuedR, a graphical authentication scheme that provides multiple cues (audio, visual, verbal and spatial) to help users learn system-assigned passwords, showed promising memorability in prior studies, where 98% of users were able to log in successfully one week after learning their password .In this thesis we explore how whether CuedR’s multi-modal recognition-based approach would be helpful for people with LDs. In particular, we conducted a single-session lab study, with 19 participants. The participants had a 100% success rate using CuedR. Seven (37%) of the participants had to re-learn their password during registration. Our analysis shows that verbal, visual and audio cues helped the users with learning disabilities to overcome the difficulties to read, hear and interpret information as compared to traditional passwords. This study is a preliminary work to understand features of a system which would help people with LDs. Also, the findings from this study show potential for future studies aimed at people with LDs.
Keywords
CuedR, Learning disabilities, Memorability, Multiple cues, Graphical password
Disciplines
Computer Sciences | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Marne, Sonali Tukaram, "A STUDY OF USING MULTIPLE CUES TO AID PEOPLE WITH LEARNING DISABILITIES IN LEARNING SYSTEM-ASSIGNED PASSWORDS" (2017). Computer Science and Engineering Theses. 404.
https://mavmatrix.uta.edu/cse_theses/404
Comments
Degree granted by The University of Texas at Arlington