Challenges in Developing Applications for Aging Populations

Elderly individuals can greatly benefit from the use of computer applications, which can assist in monitoring health conditions, staying in contact with friends and family, and even learning new things. However, developing accessible applications for an elderly user can be a daunting task for developers. Since the advent of the personal computer, the benefits and challenges of developing applications for older adults have been a hot topic of discussion. In this chapter, the authors discuss the various challenges developers who wish to create applications for the elderly computer user face, including age-related impairments, generational differences in computer use, and the hardware constraints mobile devices pose for application developers. Although these challenges are concerning, each can be overcome after being properly identified

Modern Socio-Technical Perspectives on Privacy

This open access book provides researchers and professionals with a foundational understanding of online privacy as well as insight into the socio-technical privacy issues that are most pertinent to modern information systems, covering several modern topics (e.g., privacy in social media, IoT) and underexplored areas (e.g., privacy accessibility, privacy for vulnerable populations, cross-cultural privacy). The book is structured in four parts, which follow after an introduction to privacy on both a technical and social level: Privacy Theory and Methods covers a range of theoretical lenses through which one can view the concept of privacy. The chapters in this part relate to modern privacy phenomena, thus emphasizing its relevance to our digital, networked lives. Next, Domains covers a number of areas in which privacy concerns and implications are particularly salient, including among others social media, healthcare, smart cities, wearable IT, and trackers. The Audiences section then highlights audiences that have traditionally been ignored when creating privacy-preserving experiences: people from other (non-Western) cultures, people with accessibility needs, adolescents, and people who are underrepresented in terms of their race, class, gender or sexual identity, religion or some combination. Finally, the chapters in Moving Forward outline approaches to privacy that move beyond one-size-fits-all solutions, explore ethical considerations, and describe the regulatory landscape that governs privacy through laws and policies. Perhaps even more so than the other chapters in this book, these chapters are forward-looking by using current personalized, ethical and legal approaches as a starting point for re-conceptualizations of privacy to serve the modern technological landscape. The book’s primary goal is to inform IT students, researchers, and professionals about both the fundamentals of online privacy and the issues that are most pertinent to modern information systems. Lecturers or teacherscan assign (parts of) the book for a “professional issues” course. IT professionals may select chapters covering domains and audiences relevant to their field of work, as well as the Moving Forward chapters that cover ethical and legal aspects. Academicswho are interested in studying privacy or privacy-related topics will find a broad introduction in both technical and social aspects

Artificial Intelligence-based Smarter Accessibility Evaluations for Comprehensive and Personalized Assessment

The research focuses on utilizing artificial intelligence (AI) and machine learning (ML) algorithms to enhance accessibility for people with disabilities (PwD) in three areas: public buildings, homes, and medical devices. The overarching goal is to improve the accuracy, reliability, and effectiveness of accessibility evaluation systems by leveraging smarter technologies. For public buildings, the challenge lies in developing an accurate and reliable accessibility evaluation system. AI can play a crucial role by analyzing data, identifying potential barriers, and assessing the accessibility of various features within buildings. By training ML algorithms on relevant data, the system can learn to make accurate predictions about the accessibility of different spaces and help policymakers and architects design more inclusive environments. For private places such as homes, it is essential to have a person-focused accessibility evaluation system. By utilizing machine learning-based intelligent systems, it becomes possible to assess the accessibility of individual homes based on specific needs and requirements. This personalized approach can help identify barriers and recommend modifications or assistive technologies that can enhance accessibility and independence for PwD within their own living spaces. The research also addresses the intelligent evaluation of healthcare devices in the home. Many PwD rely on medical devices for their daily living, and ensuring the accessibility and usability of these devices is crucial. AI can be employed to evaluate the accessibility features of medical devices, provide recommendations for improvement, and even measure their effectiveness in supporting the needs of PwD. Overall, this research aims to enhance the accuracy and reliability of accessibility evaluation systems by leveraging AI and ML technologies. By doing so, it seeks to improve the quality of life for individuals with disabilities by enabling increased independence, fostering social inclusion, and promoting better accessibility in public buildings, private homes, and medical devices

“As Usual, I Needed Assistance of a Seeing Person”: Experiences and Challenges of People with Disabilities and Authentication Methods

According to the World Health organization, about 16% of the world’s population live with a disability. While they could benefit from digital products and services, users with disabilities often face severe accessibility issues: tasks can only be completed with difficulty, a considerable investment of time, or with assistance of technologies or other people. Further, to access these products and services, they need to authenticate. The accessibility of authentication methods for users with disabilities has not been studied in depth. We use an accessible study design to conduct 13 semi-structured interviews with people with physical, hearing, visual, cognitive, or multiple impairments to better understand the accessibility issues they face when using knowledge- or token-based, and biometric authentication. Our qualitative content analysis shows that none of the commonly available authentication methods is fully accessible to participants, causing them to abandon services or develop workarounds that reduce their own security and privacy. Our results also reveal the role of assistive technologies and human assistants in the authentication experience of users with disabilities. We conclude by encouraging fellow researchers and practitioners to reflect on assisted access when designing security mechanisms, to include people with disabilities using accessible study designs, and to keep in mind that accessible security is about more than usability – to further benefit users without disabilities as well

Ubiquitous systems and the family: Thoughts about the networked home

Developments in ubiquitous and pervasive computing herald a future in which computation is embedded into our daily lives. Such a vision raises important questions about how people, especially families, will be able to engage with and trust such systems whilst maintaining privacy and individual boundaries. To begin to address such issues, we have recently conducted a wide reaching study eliciting trust, privacy and identity concerns about pervasive computing. Over three hundred UK citizens participated in 38 focus groups. The groups were shown Videotaped Activity Scenarios [11] depicting pervasive or ubiquitous computing applications in a number of contexts including shopping. The data raises a number of important issues from a family perspective in terms of access, control, responsibility, benefit and complexity. Also findings highlight the conflict between increased functionality and the subtle social interactions that sustain family bonds. We present a Pre-Concept Evaluation Tool (PRECET) for use in design and implementation of ubicomp systems

Accessible and inclusive cyber security:a nuanced and complex challenge

It has been argued that human-centred security design needs to accommodate the considerations of three dimensions: (1) security, (2) usability and (3) accessibility. The latter has not yet received much attention. Now that governments and health services are increasingly requiring their citizens/patients to use online services, the need for accessible security and privacy has become far more pressing. The reality is that, for many, security measures are often exasperatingly inaccessible. Regardless of the outcome of the debate about the social acceptability of compelling people to access public services online, we still need to design accessibility into these systems, or risk excluding and marginalising swathes of the population who cannot use these systems in the same way as abled users. These users are particularly vulnerable to attack and online deception not only because security and privacy controls are inaccessible but also because they often struggle with depleted resources and capabilities together with less social, economic and political resilience. This conceptual paper contemplates the accessible dimension of human-centred security and its impact on the inclusivity of security technologies. We scope the range of vulnerabilities that can result from a lack of accessibility in security solutions and contemplate the nuances and complex challenges inherent in making security accessible. We conclude by suggesting a number of avenues for future work in this space.</p