Inclusive design aims to push the market whose traditional focus is the young and able to include older people and those with disabilities. Inclusive design benefits everyone. The wider uptake of inclusive design will enhance UK's competitiveness and improve the quality of life of the whole population. The level of inclusivity of products across businesses is still very low. Existing resources for inclusive design have been focused on novice designers but little support is available for experienced designers who need in-depth user data. Few existing inclusive design tools have integrated conventional anthropometric data that designers typically adopt when applying inclusive design principles. In order to facilitate wider uptake of inclusive design, integrating anthropometric data into inclusive design tools has to be considered. However, visualisation of user data for inclusive design has been a challenge. There is a need to find innovative methods and tools to effectively present anthropometric data for designers. The proposal is to explore the unmet needs of experienced designers and develop a prototype Inclusive Design Support Tool (IDST) integrating anthropometric data in a novel way. The Cambridge Engineering Selector (CES) constructor software will be used to implement the IDST. The effectiveness of the IDST will be evaluated with design students and experienced designers. The research will develop:1) new understanding of experienced designer needs for use of inclusive design data. 2) novel methods for dynamic data integration and manipulation.3) new forms of visual representation of anthropometric data to enhance use by designers. Industry is struggling to adapt to the new demands from a rapidly increasing proportion of older people. The IDST will provide timely support for designers to practice inclusive design, helping the UK maintain its leading role in inclusive design research and practice, and benefit from the profits generated by the wider adoption of inclusive design.

To maintain continuity with MATCH Phase 1, it has been requested that MATCH Phase 2 follows the current programme breakdown in terms of Projects A-F from 2008-2013 / a vision that is described below. We note that MATCH changed dramatically in creating the projects A-F and that further changes in the themes are inevitable. An overview of these themes is given below.Projects A, B and C address economic evaluation and its impact in decision-making by companies, governments and procurement agencies. We have identified a major demand for such research, but note that there is some convergence between these themes (for instance, A and C may well coalesce under the Bayesian banner). In particular, a 'methodologies' theme is likely to emerge in this. Under the former theme, a truly integrated Bayesian framework for medical devices would represent a strategically important achievement.On the other hand, the business of delivering these developments to industry, and the organisations or franchises that might ultimately provide the best vehicle for doing so, still requires further exploration and negotiation, and at this point there is considerable uncertainty about how this will best be done. However the critical element has been established, namely that MATCH can provide useful tools for, and attract significant levels of funding from industry. To this extent, the applied side of Project A-F and Project 5 might well evolve into a series of programmes designed to spin out tools, training and best practice into industry. Project 5 remains for the present because we have set it up with a framework within which company IP can be protected, and within which we can expedite projects to company goals and time scales.A similar pattern is likely to emerge from the single User project (D), where there is considerable scope for capability, and methodological development / and the size of this team needs to increase. The aim is to develop a suite of methods, guidelines and examples, describing when a given method is useful and when user needs assessment must be cost-effective. We will gain and share experience on what approach works best where. Our taxonomy will recognise circumstances where the novelty of a proposed device may undermine the validity of user needs assessment conducted before the 'technological push' has had a fair opportunity to impact on the human imagination.Moreover, new research is needed to 'glue' some of these themes together. Some of this is already included (for instance, in Projects C and D below) to link the user-facing social science with the economics, or the pathway-changing experiences (F) with formal economic evaluation, will require new, cross-disciplinary research. This type of research is essential to developing the shared view of value, which MATCH is pursuing. Similarly, integrating supply-chain decision-making and procurement elements of theme (E) with economic evaluation would represent an important element of unification.To achieve this, we will need to bring in some news skills. For instance, we are already freeing up some funding to bring in an economics researcher at Ulster; more statistical mathematical support may be needed to further develop the Bayesian theme; and we need to bolster the sociological element within the team.Finally, this vision cannot be funded entirely within a research framework, and we expect critical elements to be achieved under other funding (for instance, Theme E by the NHS, in due course).