A Study on Speech Emotion Recognition in the Context of Voice User Experience
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-61318-0_12
Reference31 articles.
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3. Demaeght, A., Nerb, J., Müller, A.: A survey-based study to identify user annoyances of German voice assistant users. In: Fui-Hoon Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2022. LNCS, vol. 13327, pp. 261–271. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-05544-7_20
4. Gast, O.: User Experience im E-Commerce. Messung von Emotionen bei der Nutzung interaktiver Anwendungen. Springer Gabler, Wiesbaden (2018). https://doi.org/10.1007/978-3-658-22484-4
5. Klein, A.M., Hinderks, A., Schrepp, M., Thomaschewski, J.: Measuring user experience quality of voice assistants. In: Rocha, A., Escobar Peréz, B., Garcia Peñalvo, F., del Mar Miras, M., Gonçalves, R. (eds.) In: 15th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–4. IEEE, Sevilla (2020). https://doi.org/10.23919/CISTI49556.2020.9140966
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