Browsing by Author "Bosch, E."

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    Emotion GaRage Vol. II
    Nadri, C.; Li, J.; Bosch, E.; Oehl, M.; Alvarez, I.; Braun, M.; Jeon, Myounghoon (ACM, 2020-09-21)
    Driver performance and behavior can be partially predicated based on one's emotional state. Through ascertaining the emotional state of passengers and employing various mitigation strategies, empathic cars can show potential in improving user experience and driving performance. Challenges remain in the implementation of such strategies, as individual differences play a large role in mediating the effect of affective intervention. Therefore, we propose a workshop that aims to bring together researchers and practitioners interested in affective interfaces and in-vehicle technologies as a forum for the development of targeted emotion intervention methods. During the workshop, we will focus on a common set of use cases and generate approaches that can suit different user groups. By the end of this short workshop, researchers will determine ideal intervention methods for prospective user groups. This will be achieved through the method of insight combination to generate and discuss ideas.
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    Emotional GaRage: A workshop on in-car emotion recognition and regulation
    Bosch, E.; Oehl, M.; Jeon, Myounghoon; Alvarez, I.; Healey, J.; Ju, W.; Jallais, C. (ACM, 2018-09-23)
    In-car emotion detection and regulation have become an emerging and important branch of research within the automotive domain. Different emotional states can greatly influence human driving performance and user experience both in manual and automated driving conditions. The monitoring and regulation of relevant emotional states is therefore important to avoid critical driving scenarios with the human driver being in charge, and to ensure comfort and acceptance in autonomous driving. In this workshop we want to discuss the empathic user interface research to address challenges and opportunities and to reveal new research directions for future work. This workshop provides a forum for exchange and discussion on empathic user interfaces, including methods for emotion recognition and regulation, empathic automotive human-machine interaction design, user evaluation and measurements, and subsequent improvement of autonomous driving experience.