Anuschka Schmitt
Anuschka Schmitt
Research Associate, University of St.Gallen
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Voice bots on the frontline: Voice-based interfaces enhance flow-like consumer experiences & boost service outcomes
N Zierau, C Hildebrand, A Bergner, F Busquet, A Schmitt, ...
Journal of the Academy of Marketing Science, 1-20, 2022
Voice as a contemporary frontier of interaction design
A Schmitt, N Zierau, A Janson, JM Leimeister
European Conference on Information Systems (ECIS).-Virtual, 2021
Charting the Evolution and Future of Conversational Agents: A Research Agenda Along Five Waves and New Frontiers
S Schöbel, A Schmitt, D Benner, M Saqr, A Janson, JM Leimeister
Information Systems Frontiers, 1-26, 2023
Towards a Trust Reliance Paradox? Exploring the Gap Between Perceived Trust in and Reliance on Algorithmic Advice
A Schmitt, T Wambsganss, M Söllner, A Janson
International Conference on Information Systems (ICIS), 2021
The potential of technology-mediated learning processes: a taxonomy and research agenda for educational process mining
T Wambsganss, A Schmitt, T Mahnig, A Ott, S Soellner, NA Ngo, ...
Designing for Conversational System Trustworthiness: The Impact of Model Transparency on Trust and Task Performance
A Schmitt, T Wambsganss, A Janson
Conversational Agents for Information Retrieval in the Education Domain: A User-Centered Design Investigation
A Schmitt, T Wambsganss, JM Leimeister
Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-22, 2022
The Role of AI-Based Artifacts’ Voice Capabilities for Agency Attribution
A Schmitt, N Zierau, A Janson, JM Leimeister
Disentangling Trust in Voice Assistants-A Configurational View on Conversational AI Ecosystems
A Janson, A Schmitt, T Bevilacqua
Annual Meeting of the Academy of Management (AOM), 2023
Exploring the Synergies in Human-AI Hybrids: A Longitudinal Analysis in Sales Forecasting
T Fahse, A Schmitt
Proceedings of the Americas Conference on Information Systems (AMCIS), 2023
Examining Trust in Conversational Systems: Conceptual and Empirical Findings on User Trust, Related Behavior, and System Trustworthiness
A Schmitt
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 912-912, 2022
Conceptual Foundations on Debiasing for Machine Learning-Based Software
A Schmitt, M Walser, TB Fahse
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–12