People with aphasia often experience reduced participation in life roles as a result of their communication disorder. The aims of this thesis were to 1) develop an iPhone application (CommFit™) which measures talk time and was easily used by people with aphasia, and 2) to use the app to explore talk time as a possible performance based indicator of participation, as a supplement to currently used self-report measures. This thesis used the International Classification of Functioning, Disability and Health (ICF) as a framework for defining participation and structuring the research.The first (preparatory) phase of this thesis involved reviewing the current state of research in the areas of participation assessment and mobile technology use, in order to inform development of the CommFit™ app. In the first stage of preparation, the concept of participation was reviewed and current self-report measures of participation restriction were crosswalked to ICF categories. Ninety instruments (2,426 items) were coded and of these, 29 instruments contained over 50% participation items. The crosswalk showed that many of the current measures for this population are not participation focused, according to the operational definition of participation developed in this thesis. The Subjective Index of Physical and Social Outcome (SIPSO) emerged from this study as a measure which contained mostly participation content, had been validated with a stroke population, and was appropriate in both format and time required to be used by people with language difficulties. Thus, the SIPSO chosen as the measure of participation for use in the second phase of this research.The second stage of the preparatory phase consisted of a review of the use of mobile technology by people with aphasia, stroke survivors and elderly people. The review focused on synthesising the literature into a list of technology design features that facilitate technology use for this population.These features were; use of multimodal communication, utilisation of aphasia-friendly text features, large buttons, stable interface, simple navigation and lack of visual clutter. These features were integrated into the design and development of an iPhone app which measured talk time-the CommFit™ app.The last stage of the preparatory phase involved a small but in depth study investigating the development and accuracy of CommFit™. The iterative process of developing the CommFit™ app to be aphasia-friendly was described in detail. In the accuracy study, the talk time logged by the app was compared to talk time obtained from a continuous recording. Three non-neurologically ii impaired participants who recorded their daily talk for a total of 10 hours in different environments.Accuracy of the app was found to be satisfactory at ±4% of the true talking time in ideal or silent environments and ±13% in everyday environments. The end result of the preparatory phase was a valid, usable app for counting talk time.The second phase of this research explored the use of CommFit™ to count ...