Auflistung nach Autor:in "Ihme, Klas"
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- WorkshopbeitragEmotions in the Age of Automated Driving - Developing Use Cases for Empathic Cars(Mensch und Computer 2019 - Workshopband, 2019) Oehl, Michael; Ihme, Klas; Bosch, Esther; Pape, Anna-Antonia; Vukelić, Mathias; Braun, MichaelImproving user experience of highly automated vehicles is key to increase their acceptance. One possibility to realize this is the design of empathic cars that are capable of assessing the emotional state of vehicle occupants and react to it accordingly by providing tailored support. At the moment, the central challenge is to derive relevant use cases as basis for the design of future empathic cars. Therefore, we propose a workshop that aims to bring together researchers and practitioners interested in affective computing, affective interfaces and automated driving as forum for the development of a roadmap towards empathic vehicles using design thinking methods. During the workshop, we will gain a common understanding of the central concepts and listen to impulse talks about current and recent projects on emotions during automated driving. Based on this, relevant use cases are generated in group work and discussed with the goal to identify potential research and knowledge gaps. Finally, a road map for research towards the realization of automated empathic cars is formulated from the results.
- KonferenzbeitragTravel Experience in Public Transport: A Geospatial Analysis by Experience Mapping(Mensch und Computer 2023 - Tagungsband, 2023) Bosch, Esther; Luther, Ricarda; Ihme, KlasA change towards sustainability is crucial also in the transportation sector. However, humans’ need for mobility is increasing. Therefore, a shift towards sustainable transportation is necessary. Besides changes in reliability and availability, transportation can be made more attractive by better understanding travelers’ needs. This paper presents first results of a study with 23 participants that traveled by public transport. We continuously recorded travel satisfaction, stress, event, and cardiological data. We plotted the collected data averaged in 0.0008 degree squares over the traveled map to detect points of collective positive or negative travel experience in public transport. Preliminary results show that bothersome people are a major cause for negative experience at a busy changing point. This adds to existing research, as most previous studies have concentrated on time- and cost aspects of public transport. Our method is a powerful tool to analyze points at which a transportation system needs to change to take the traveler’s needs into account.