The authors have been conducting research on value-creating communication. It is a process where people embody and clarify their own values and form new values through communication. The authors have observed and modeled consensus building process that has few choice as an example of value-creating communication. Next, the authors observed and modeled consensus building process in case of multiple-choices and compared the process based on quantity of choices. The authors have observed one group that they created the conception through communication and one group that they reached the consensus in terms of a viewpoint. Then, in this paper, the authors classified consensus building process into patterns from two viewpoints. Moreover, the authors classified six cases in case of multiple-choice into patterns and discuss the characteristics. As a result, it was suggested that the time to reach agreement varies depending on the pattern.
In a treatment process, a doctor has to view a lot of medical data about symptoms, test results, drugs and their dosages in a period of time. It is convenient for the doctor to view and search for any information he/she needs if all the medical data of each patient are visualized appropriately. For that purpose, we propose EMRVisualization, an electronic medical record visualization system, to visualize all the related medical data in an integrative manner. The system provides an interactive visualization with accurate data at different detail levels, quick access and convenience for a doctor to track the progress of each patient over time. Its development is detailed in this paper. Its demonstration with the real data of gastroenterological Vietnamese patients in Thong Nhat Hospital, Ho Chi Minh City, Vietnam, is conducted. It also shows that every interaction of a doctor can be accomplished in at most two steps.
We present an Interactive Evolutionary Computation (IEC) system that applies user gaze information. Historically, IEC systems have encountered the problems caused by heavy user evaluation loads. To solve these problems, researchers have employed biologically derived user information, such as heartbeats or brainwaves, to reduce the evaluation load. However, the requirement for users to wear special devices to measure this information has limited the popularity of these systems. Therefore, we applied the user gaze information approach to solve these problems. Gaze information includes the user’s potential preferences, which are derived from various processes. When user gaze information is applied in the evaluation of candidate solutions, IEC systems can obtain user evaluation information while users are viewing multiple candidate solutions. In this paper, we verify the effectiveness of the eye tracking IEC system using evaluation experiments with real users. In the experiment, we use a normal IEC system as a comparison method where users manually evaluate candidate solutions using a 10-stage evaluation process. The experimental results show that the eye tracking IEC method can generate solutions with results equivalent to those of the compared system.