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Not AvailablePeople with cognitive disabilities may experience challenges in consistently performing daily activities because they skip steps, struggle to track progress, or lack the motivation to complete them. These challenges are often along a range; people need assistive devices customized to their specific needs. However, existing assistive technologies, like prompting systems, lack the capabilities to customize support for diverse needs. With the advent of smart home devices, there are opportunities to design prompting systems that support diverse accessibility and motivational needs, thereby supporting the regular practice of daily activities. To understand design factors for such devices, we interviewed adults with cognitive disabilities, parents, and caregivers. Our participants described their needs for future prompting systems, including structuring tasks, supporting motivation, and introducing community support. This paper presents insights and design suggestions for context-aware assistive technologies that could help people with cognitive disabilities regularly perform everyday activities.
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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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Accepted Manuscript1.0
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- The DOI is not currently available.
