• Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers 

      Marco-Ruiz, Luis; Bønes, Erlend; de la Asuncion Gonzalez, Estela; Gabarron, Elia; Solis, Juan Carlos Aviles; Lee, Eunji; Traver, Vicente; Sato, Keiichi; Bellika, Johan Gustav (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-09-09)
      Symptom checkers are software tools that allow users to submit a set of symptoms and receive advice related to them in the form of a diagnosis list, health information or triage. The heterogeneity of their potential users and the number of different components in their user interfaces can make testing with end-users unaffordable. We designed and executed a two-phase method to test the respiratory ...
    • Prototyping a Diet Self-management System for People with Diabetes with Cultural Adaptable User Interface Design 

      Lee, Eunji; Årsand, Eirik; Choi, Yoon-Hee; Østengen, Geir; Sato, Keiichi; Hartvigsen, Gunnar (Chapter; Bokkapittel, 2014-08-22)
      Diet management is a critical part of diabetes selfmanagement. This project developed a working prototype application on Android-based mobile phone called SMART CARB that assists people with diabetes to self-manage their diet. The system particularly focused on monitoring carbohydrate intake in order to control their blood glucose levels. The project was positioned as a research extension to the ...
    • SMART CARB : a mobile nutrition self-management application for people with diabetes 

      Lee, Eunji (Master thesis; Mastergradsoppgave, 2011-07)
      The main research problem in this thesis project was to develop a mobile phone application which can help people with diabetes to make right choices in selecting food items for better nutrition management. The major challenge was minimizing the information displayed and finding a way to persuade the users to change their food habits. Smart Carb, a simple application was developed to solve this problem ...