Improving accessibility for people with dementia: web content and research

The Internet can provide a means of communication, searching for information, support groups and entertainment, amongst other services, and as a technology, can help to promote independence for people with dementia. However, the effectiveness of this technology relies on the users’ ability to use it. Web content, websites and online services need to be designed to meet the abilities and needs of people with dementia, and thus the difficulties that these users encounter must be explored and understood.The primary aim of this thesis is to investigate web content accessibility for People with Dementia and develop recommendations for improving current guidelines based on accessibility needs. The secondary aim is to support people with dementia having a voice within research through development of accessible ethical processes.Qualitative data were collected with a scoping study using questionnaires about everyday technology use (people with dementia and older adults without dementia); and in-depth interviews to explore difficulties and web accessibility issues. A document analysis was conducted on Web Content Accessibility Guidelines (ISO/IEC40500:2012) for inclusion of the needs of people with dementia followed by review of Web Usability Guidance (ISO9241-151:2008) to consider how gaps relating to the unmet accessibility needs for people with dementia could be met. The scoping study found that both people with dementia and older adults without dementia use everyday ICT to access the Web. Both groups described difficulties with web interface interactions, which refined the research scope to web content accessibility. The interview data with people with dementia (n=16) and older adults without dementia (n=9) were analysed using Grounded Theory techniques. It was found that both user groups experienced the same types of difficulties using the Web, but that dementia symptoms could exacerbate the difficulties from usability issues (older adults without dementia) into accessibility issues for people with dementia. Navigation was a key issue for both groups, with a range of web content design elements contributing to accessibility issues with navigation for people with dementia. The document analysis found that the accessibility guidance did not address all the accessibility issues encountered by people with dementia. However, the usability guidance did address many of the accessibility issues for web content navigation experienced by people with dementia. The research provides recommendations for improvements to web content accessibility guidelines including content from usability guidelines, and amendments to current guidelines and success criteria. A new ethical recruitment/consent process was developed and tested as part of the research process and is recommended for use in future research to support engagement of people with dementia.</div

Socio-Cognitive and Affective Computing

Social cognition focuses on how people process, store, and apply information about other people and social situations. It focuses on the role that cognitive processes play in social interactions. On the other hand, the term cognitive computing is generally used to refer to new hardware and/or software that mimics the functioning of the human brain and helps to improve human decision-making. In this sense, it is a type of computing with the goal of discovering more accurate models of how the human brain/mind senses, reasons, and responds to stimuli. Socio-Cognitive Computing should be understood as a set of theoretical interdisciplinary frameworks, methodologies, methods and hardware/software tools to model how the human brain mediates social interactions. In addition, Affective Computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects, a fundamental aspect of socio-cognitive neuroscience. It is an interdisciplinary field spanning computer science, electrical engineering, psychology, and cognitive science. Physiological Computing is a category of technology in which electrophysiological data recorded directly from human activity are used to interface with a computing device. This technology becomes even more relevant when computing can be integrated pervasively in everyday life environments. Thus, Socio-Cognitive and Affective Computing systems should be able to adapt their behavior according to the Physiological Computing paradigm. This book integrates proposals from researchers who use signals from the brain and/or body to infer people's intentions and psychological state in smart computing systems. The design of this kind of systems combines knowledge and methods of ubiquitous and pervasive computing, as well as physiological data measurement and processing, with those of socio-cognitive and affective computing