Long-Term Experience Applications for Augmented Reality - In a Medication Adherence Scenario

Sammanfattning: The aim of this research project was to explore how long-term experience applications (LTEAs) can be designed and implemented for augmented reality (AR)-headsets. Personalization, unintrusiveness, planning (short-term and long-term) and context-awareness were identified as particularly important areas when designing and implementing LTEAs for AR-headsets. An intelligent system, called Medication Coach Intelligent Agent (MCIA), directed towards medication adherence was designed and an approach for designing LTEAs considering the above mentioned areas are presented. The goal of the MCIA was to increase medication adherence for patients in an intelligent way and the goal was achieved by using beliefs-desires-intentions (BDI)-based reasoning algorithms. A concept of intentions and actions is presented in order to be able to plan ahead while stile being adaptive to the situation of users. A proof-of-concept prototype was implemented in the setting of a Microsoft HoloLens and an evaluation with user tests was conducted.The purpose of the evaluation was to investigate user experience of usingAR-headsets and the potential for using AR-headsets as a tool to address problems related to medication adherence and for similar problems related to the behavior of users. The results showed that people with experience in use of smart technology were positive towards using AR-headsets and that it is possible to implement intelligent systems for AR-headsets using today’s technology.