This thesis discusses the challenges and opportunities facing the field of accessibility, particularly as computing becomes ubiquitous. It is argued that a new approach is needed that centres around adaptations (specific, atomic changes) to user interfaces and content in order to improve their accessibility for a wider range of people than targeted by present Assistive Technologies (ATs). Further, the approach must take into consideration the capabilities of people at the human level and facilitate collaboration, in planned and ad-hoc environments. There are two main areas of focus: (1) helping people experiencing minor-to-moderate, transient and potentially-overlapping impairments, as may be brought about by the ageing process and (2) supporting collaboration between people by reasoning about the consequences, from different users perspectives, of the adaptations they may require. A theoretical basis for describing these problems and a reasoning process for the semi-automatic application of adaptations is developed. Impairments caused by the environment in which a device is being used are considered. Adaptations are drawn from other research and industry artefacts. Mechanical testing is carried out on key areas of the reasoning process, demonstrating fitness for purpose. Several fundamental techniques to extend the reasoning process in order to take temporal factors (such as fluctuating user and device capabilities) into account are broadly described. These are proposed to be feasible, though inherently bring compromises (which are defined) in interaction stability and the needs of different actors (user, device, target level of accessibility). This technical work forms the basis of the contribution of one work-package of the Sustaining ICT use to promote autonomy (Sus-IT) project, under the New Dynamics of Ageing (NDA) programme of research in the UK. Test designs for larger-scale assessment of the system with real-world participants are given. The wider Sus-IT project provides social motivations and informed design decisions for this work and is carrying out longitudinal acceptance testing of the processes developed here.

Virtual teams are being increasingly utilized in industry given their ability to bring together diverse knowledge and experience from individuals who are not geographically proximal. Having a diversity of knowledge within virtual teams is noted to benefit innovation outcomes; however, leveraging the benefits of diversity (both deep-level and functional level) is likely to require a capability to facilitate collaboration among team members. This dissertation examines collaboration capability and absorptive capacity at the virtual team level by evaluating the inter-relationships among the dimensions and their influence on team innovation. This research also tests the impact of team diversity on team innovation with an additional focus on understanding the moderating impact of collaboration capability and the mediating impact of absorptive capacity. Two dimensions of team diversity are examined. The first dimension, deep-level diversity, involves the individual characteristics, values, attitudes and preferences. The second dimension, functional-level diversity, which entails the diversity in functional and expertise backgrounds. Survey data was collected from 166 virtual team members and the validation process revealed satisfactory psychometric properties at the items and the constructs level. A confirmatory factor analysis (CFA) was carried out to determine the factor structure of the hypothesized models, as well as its reliability and validity.