Designing and evaluating an intelligent augmented reality system for assisting older adults’ medication management

Intelligent Assistive Systems (IASs) provide personalised support to individuals to increase their autonomy and competence in performing activities. The personalisation of such technology represents a particular challenge, for the individuals abilities typically change over time. The aim of this research was to explore a theory-based, activity-centred framework for the development of IASs that both facilitate the active involvement of caregivers and target users and allow for adaptation to the individual over time.Medication management was focused on as a case study. Three older adults and two caregivers were involved in a co-design process of an IAS prototype system, the MED-AR, which uses projection-based augmented reality as the user interface technology. The theoretical framework for the design and evaluation of the MED-AR was activity theory. For the decision-making process of the MED-AR, formal argumentation theory was used. The major contributions of the study are (i) a formal framework for understanding the level of independence in activities and the way an IAS can tailor support to an individual and a situation, including caregivers; and (ii) a model for involving older adults and caregivers in a co-design process in the first phases of developing IASs.     

The interplay of stress and attachment in individuals weathering loss of employment

This study addressed two questions concerning the interplay between adult romantic attachment and exposure to stressful circumstances: do stressful events predict fluctuation in romantic attachment during a period of unemployment, and does attachment measured at one point predict later changes in stressors? Stressors and attachment were measured over a six month period following involuntary job loss for a sample of 426 adults. Autoregressive models found evidence for both the stress-effects and stress-generation hypotheses, with more stressors associated with prospective decreases in attachment, and lower attachment associated with prospective increases in stressors. These findings support a more dynamic formulation of the interplay between attachment and exposure to stressors over the months following job loss.     

Providing an analytic structure for key system design choices

The design of a system, especially a system architecture, requires the balancing of multiple performance parameters with the system cost and other implementation issues. Multi-attribute utility theory provides a structured, coherent framework for conducting an analysis in which system designs are evaluated on multiple performance parameters. This paper describes the application of multi-attribute utility analysis to the design of the Worldwide Digital Signal Systems Architecture (WWDSA), a telecommunications system, by the United States' Defense Communications Agency (now called the Defense Information Systems Agency). The advantages of using multi-attribute utility theory during the system design are highlighted. In addition, we discuss several key analytical issues that led to this application being a success in the eyes of the decision makers.