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Auflistung nach Schlagwort "Affective Computing"

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  • Dissertation
    Affective automotive user interfaces
    (2020) Braun, Michael
    Technological progress in the fields of ubiquitous sensing and machine learning has been fueling the development of user-aware human-computer interaction in recent years. Especially natural user interfaces, like digital voice assistants, can benefit from understanding their users in order to provide a more naturalistic experience. Such systems can, for example, detect the emotional state of users and accordingly act in an empathic way. One major research field working on this topic is Affective Computing, where psycho-physiological measures, speech input, and facial expressions are used to sense human emotions. Affective data allows natural user interfaces to respond to emotions, providing promising perspectives not only for user experience design but also for safety aspects. In automotive environments, informed estimations of the driver’s state can potentially avoid dangerous errors and evoking positive emotions can improve the experience of driving. This dissertation explores Affective Automotive User Interfaces using two basic interaction paradigms: firstly, emotion regulation systems react to the current emotional state of the user based on live sensing data, allowing for quick interventions. Secondly, emotional interaction synthesizes experiences which resonate with the user on an emotional level. The constituted goals of these two interaction approaches are the promotion of safe behavior and an improvement of user experience. Promoting safe behavior through emotion regulation: Systems which detect and react to the driver’s state are expected to have great potential for improving road safety. This work presents a model and methods needed to investigate such systems and an exploration of several approaches to keep the driver in a safe state. The presented methods include techniques to induce emotions and to sample the emotional state of drivers. Three driving simulator studies investigate the impacts of emotionaware interventions in the form of implicit cues, visual mirroring and empathic speech synthesis. We envision emotion-awareness as a safety feature which can detect if a driver is unfit or in need of support, based on the propagation of robust emotion detection technology. Improving user experience with emotional interaction: Emotional perception is an essential part of user experience. This thesis entails methods to build emotional experiences derived from a variety of lab and simulator studies, expert feedback, car-storming sessions and design thinking workshops. Systems capable of adapting to the user’s preferences and traits in order to create an emotionally satisfactory user experience do not require the input of emotion detection. They rather create value through general knowledge about the user by adapting the output they generate. During this research, cultural and generational influences became evident, which have to be considered when implementing affective automotive user interfaces in future cars. We argue that the future of user-aware interaction lies in adapting not only to the driver’s preferences and settings but also to their current state. This paves the way for the regulation of safe behavior, especially in safety-critical environments like cars, and an improvement of the driving experience.
  • Konferenzbeitrag
    Enthusiasts, Pragmatists, and Skeptics: Investigating Users’ Attitudes Towards Emotion- and Personality-Aware Voice Assistants across Cultures
    (Mensch und Computer 2022 - Tagungsband, 2022) Ma, Yong; Abdelrahman, Yomna; Drewes, Heiko; Petz, Barbarella; Alt, Florian; Hussmann, Heinrich; Butz, Andreas
    Voice Assistants (VAs) are becoming a regular part of our daily life. They are embedded in our smartphones or smart home devices. Just as natural language processing has improved the conversation with VAs, ongoing work in speech emotion recognition also suggests that VAs will soon become emotion- and personality-aware. However, the social implications, ethical borders and the users’ general attitude towards such VAs remain underexplored. In this paper, we investigate users’ attitudes towards and preferences for emotionally aware VAs in three different cultures. We conducted an online questionnaire with N = 364 participants in Germany, China, and Egypt to identify differences and similarities in attitudes. Using a cluster analysis, we identified three different basic user types (Enthusiasts, Pragmatists, and Skeptics), which exist in all cultures. We contribute characteristic properties of these user types and highlight how future VAs should support customizable interactions to enhance user experience across cultures.
  • 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.