Factors Affecting The Acceptance Of Virtual Digital Human Technology In Live Broadcasting Settings Based On The UTAUT Model
Authors
Xingxing Lu1, Ziyu Zhou2, Yang Bai2, *
1Wuhan Donghu University, Wuhan, China
2School of Information Management, Central China Normal University, Wuhan, China
*Corresponding author.
Email: yang.bai@ccnu.edu.cn
Corresponding Author
Yang Bai
Available Online 13 December 2024.
- DOI
- 10.2991/978-94-6463-600-0_66How to use a DOI?
- Keywords
- Network Live Streaming; Virtual Digital Human; Real-Person-Driven Virtual Digital Human; UTAUT Model
- Abstract
Based on the UTAUT paradigm, this study aims to identify the factors that influence consumers’ acceptance of virtual digital human technology in live broadcasting contexts. The study employed a random sampling approach and had a total of 351 valid respondents and the findings showed that five factors, namely, social influence, anchor anthropomorphism, interactivity, perceived amusement, and facilitating conditions, have a significant and positive influence on users’ willingness and behavior to watch real-person-driven virtual digital human, whereas effort expectancy and performance expectancy have no significant effect.
- Copyright
- © 2024 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 - Xingxing Lu AU - Ziyu Zhou AU - Yang Bai PY - 2024 DA - 2024/12/13 TI - Factors Affecting The Acceptance Of Virtual Digital Human Technology In Live Broadcasting Settings Based On The UTAUT Model BT - Proceedings of the 4th International Conference on New Media Development and Modernized Education (NMDME 2024) PB - Atlantis Press SP - 593 EP - 601 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-600-0_66 DO - 10.2991/978-94-6463-600-0_66 ID - Lu2024 ER -