Affiliation:
1. Mechanical Systems Engineering Department, Graduate School of Engineering, Tokyo University of Agriculture and Technology, Naka-cho 2-24-16, Koganei-shi 184-0012, Tokyo-to, Japan
Abstract
The number of smart devices is expected to exceed 100 billion by 2050, and many will feature conversational user interfaces. Thus, methods for generating appropriate prosody for the responses of embodied conversational agents will be very important. This paper presents the results of the “Talk to Kotaro” experiment, which was conducted to better understand how people from different cultural backgrounds react when listening to prosody and phone choices for the IPA symbol-based gibberish speech of the virtual embodied conversational agent Kotaro. It also presents an analysis of the responses to a post-experiment Likert scale questionnaire and the emotions estimated from the participants’ facial expressions, which allowed one to obtain a phone embedding matrix and to conclude that there is no common cross-cultural baseline impression regarding different prosody parameters and that similarly sounding phones are not close in the embedding space. Finally, it also provides the obtained data in a fully anonymous data set.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference63 articles.
1. What is society 5.0;Deguchi;Society,2020
2. Industry 4.0;Lasi;Bus. Inf. Syst. Eng.,2014
3. Mah, P.M., Skalna, I., and Muzam, J. (2022). Natural Language Processing and Artificial Intelligence for Enterprise Management in the Era of Industry 4.0. Appl. Sci., 12.
4. Karunarathne, G., Kulawansa, K., and Firdhous, M. (2018, January 6–7). Wireless communication technologies in internet of things: A critical evaluation. Proceedings of the 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC), Mon Tresor, Mauritius.
5. Janarthanam, S. (2017). Hands-on Chatbots and Conversational UI Development: Build Chatbots and Voice User Interfaces with Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, and Alexa Skills, Packt Publishing Ltd.