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Auflistung nach Autor:in "Bui, Michael"

1 - 2 von 2
  • Konferenzbeitrag
    MindTrain: How to Train your Mind with Interactive Technologies
    (Mensch und Computer 2019 - Tagungsband, 2019) Kosuru, Ravi Kanth; Lingelbach, Katharina; Bui, Michael; Vukelić, Mathias
    Technological products for training the mind that support subjective well-being are gaining popularity in our daily lives. Using Electroencephalographic (EEG) signals for neurofeedback is helpful for learning and a promising approach to train the mind. We introduce MindTrain, a novel, gamified neurofeedback training environment that allows users to learn the skill to voluntarily self-regulate their brain activity in Virtual Reality (VR). MindTrain combines the concept of implicit control with a mobile consumer EEG-wearable in an interactive and immersive VR-environment for visualising the feedback. We tested the feasibility of MindTrain for training to control states of relaxation and concentration. Our results prove that MindTrain is a promising novel method and a proposal that warrants further investigation within a larger study. Furthermore, the use of the mobile EEG-wearable demonstrates the potential for bringing MindTrain out of the laboratory into a real-world context.
  • Konferenzbeitrag
    Patient Journey Value Mapping: Illustrating values and experiences along the patient journey to support eHealth design
    (Mensch und Computer 2023 - Tagungsband, 2023) Bui, Michael; Oberschmidt, Kira; Grünloh, Christiane
    This paper introduces patient journey value mapping - an approach to capture experiences, emotions and values implicated in patients' care delivery. As patients’ values (i.e., what's important to them in their lives) may change along their patient journeys, our approach aims to support designers to respond to patients' changing needs in the (re)design of eHealth, by mapping patients' values and their prioritisations over time. To substantiate the creation of the map, we propose two preceding data collection phases comprising complementary empirical methods. First, important care-related events and associated values are collected retrospectively through interviews, and in-situ through diary studies. Subsequently, the data are analysed to develop materials to elicit values and value tensions through deepening discussions in an interactive workshop based on which the maps are finalised. The approach is illustrated through discussions and reflections on its application in a case study investigating patient values in eHealth for rehabilitation care.