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Tagungsband MuC 2022

https://dl.gi.de/handle/20.500.12116/38890
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Auflistung Tagungsband MuC 2022 nach Schlagwort "Affective Computing"

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  • 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.