Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)

Speech Interaction Enhances the Perceived Ease of Use of Conversational AI Software: The Moderating Role of Task Type

Authors
Yixuan Wang1, *
1University of International Business and Economics, Beijing, China
*Corresponding author. Email: 930521473@qq.com
Corresponding Author
Yixuan Wang
Available Online 31 May 2025.
DOI
10.2991/978-94-6463-742-7_41How to use a DOI?
Keywords
Interaction Type; Perceived Anthropomorphism; Perceived Ease of Use; Task Type
Abstract

Conversational artificial intelligence (AI) is gradually becoming an essential tool in people’s lives. This study uses experimental methods to explore the impact of speech interaction and text interaction on users’ perceived ease of use of conversational AI, the mediating role of anthropomorphism, and the moderating role of task type on the impact of interaction methods. The results show that interaction methods significantly affect users’ willingness to use, with speech interaction enhancing user satisfaction in entertainment-oriented tasks and text interaction having an advantage in information-oriented tasks. Anthropomorphism plays a partial mediating role between interaction methods and users’ willingness to use, especially in entertainment-oriented tasks. Task type significantly moderates the impact of interaction methods, with significant differences in users’ preferences for interaction methods under different task types. This study provides valuable theoretical and practical guidance for the design and optimization of conversational AI systems, fills the gap in existing research on the relationship between interaction methods and user, and the unresolved mystery of the anthropomorphism, offering a new perspective for understanding users’ behavior and psychological mechanisms in different interaction scenarios.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 May 2025
ISBN
978-94-6463-742-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-742-7_41How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yixuan Wang
PY  - 2025
DA  - 2025/05/31
TI  - Speech Interaction Enhances the Perceived Ease of Use of Conversational AI Software: The Moderating Role of Task Type
BT  - Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)
PB  - Atlantis Press
SP  - 396
EP  - 406
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-742-7_41
DO  - 10.2991/978-94-6463-742-7_41
ID  - Wang2025
ER  -