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Auflistung nach Schlagwort "Electroencephalography"

1 - 2 von 2
  • Konferenzbeitrag
    Examining Joy of Use and Usability During Mobile Phone Interactions within a Multimodal Methods Approach
    (Mensch und Computer 2022 - Tagungsband, 2022) Lingelbach, Katharina; Tagalidou, Nektaria; Markey, Patrick S.; Föll, Bettina; Peissner, Matthias; Vukelić, Mathias
    Objective: We investigate experienced joy of use (JoU) and usability using a multimodal methods approach by systematically varying mobile phone interactions. Methods: We combined subjective and objective measures to investigate whether positive emotional experiences and moments of joy during the interaction can be distinguished from neutral and negative emotional experiences. In a study with 30 participants, electroencephalography (EEG), electrocardiography (ECG), electrodermal activity (EDA), facial emotion recognition, and questionnaires were used. Results: There were greater positive experiences in interactions designed to elicit JoU, even under bad usability. We did not observe a difference between the conditions in the EEG indices. However, a higher heart rate and components in the EDA phasic response as well as facial muscle activity associated with anger were linked to good usability combined with no JoU. Conclusion: The multimodal methods approach reveals great potential to investigate JoU and usability in naturalistic scenarios. Application: The developed framework provides a groundwork to evaluate and improve interactions with technology. Thereby, users and their emotional experiences are placed at the centre when designing user interfaces. By detecting moments of joy, this approach can support a better understanding of how technology can be purposefully designed for joyful experiences.
  • 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.