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Given the challenges of wayfinding in large indoor built environments, especially for persons with disabilities (PWDs), a new class of accessible technologies called built environment accessible technologies (BEAT) are being developed. Such technologies are envisioned to help achieve product and opportunity parity for PWDs. The impact and adoption of these BEATs depends largely on clear and quantifiable (tangible and intangible) economic benefits accrued to the end-users and stakeholders. This paper describes the results of a survey conducted to measure potential benefits in terms of quality of life and quality of work life (work productivity) by increased accessibility provisions within built environments as it relates to navigation for PWDs and those without disabilities. Results of this work indicate that BEATs have the greatest potential to improve mobility and exploratory activities for people with disabilities, exploratory activities for people without disabilities, and improve job security for everyone.
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Generating smartphone phishing applications for deception based defense
Graphical User Interface (GUI)-based APplications (GAPs) are ubiquitous, both in business and personal use and they are deployed on diverse software and hardware platforms. Unfortunately, close to 50Mil people have disabilities in the USA alone and over 600Mil worldwide, and it is difficult for Users With Disabilities (UWDs) to work with GAPs on their smartphones. Since there are hundreds of disabilities that impair people in vision, movement, thinking, remembering, learning, communicating, and hearing, UWDs need specialized enhancements to GUIs. Mobile Assistive APplications (MA2Ps) provide these enhancement services using specialized accessibility technologies that are fundamentally insecure, thus exposing all smartphone users to a variety of attacks. The goal of this framework is therefore to investigate security problems with accessibility technologies and to explore a novel theoretical foundation to allow stakeholders to create, analyze, and predict the security and privacy behavior of complex MA2Ps for UWDs. A connecting thread in the research thrusts is a combination of GAP and MA2P modeling and compositional intercomponent analysis using these models to create a prototype that can predict and mitigate security threats posed by accessiblity technologies for smartphone users. Also, the results of the proposed framework should inform the GUI security and assistive technologies communities about the possibilities and limits of program analyses and machine learning in dealing with security problems posed by accessibility technologies that make users unsafe.
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- Award ID(s):
- 1650000
- PAR ID:
- 10042093
- Date Published:
- Journal Name:
- Master thesis
- ISSN:
- 1652-7674
- Page Range / eLocation ID:
- 1-90
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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