TY - GEN
T1 - Research on Influencing Factors of User's Intention to Use Personalised Generated Virtual Digital Human of Financial App Based on TAM
AU - Guan, Xinwei
AU - Wang, Yao
AU - Chen, Dengkai
AU - Yu, Suihuai
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - With aging of population, China faces great challenges and opportunities in financial senior care services. This study aims to address the urgent need for digital innovation in financial aged care services by exploring the user behavioural influencing factors of personalised generation of virtual digital persona. This study focuses on interaction design under user psychology, aiming to gain insights into the potential application and impact of this digital tool. Interviews and questionnaires based on the Technology Acceptance Model (TAM) are conducted to explore users' attitudes and behaviours towards personalised generated digital images. Through data analysis and model validation, factors such as Perceived Usefulness are explored in depth to explore their potential value for the application of digital image tools. The study finds that perceived usefulness has a significant positive effect on behavioural intentions, while perceived interest shows a weaker effect. Perceived ease of use also has a significant impact on users' perceived value and indirectly affects behavioural intentions. In addition, interactivity and visual appeal also have a significant effect on users' perceived value and behavioural intentions. Designers should focus on improving their perceived usefulness, perceived ease of use, interactivity and visual appeal for designing and improving personalised digital image generation tools.
AB - With aging of population, China faces great challenges and opportunities in financial senior care services. This study aims to address the urgent need for digital innovation in financial aged care services by exploring the user behavioural influencing factors of personalised generation of virtual digital persona. This study focuses on interaction design under user psychology, aiming to gain insights into the potential application and impact of this digital tool. Interviews and questionnaires based on the Technology Acceptance Model (TAM) are conducted to explore users' attitudes and behaviours towards personalised generated digital images. Through data analysis and model validation, factors such as Perceived Usefulness are explored in depth to explore their potential value for the application of digital image tools. The study finds that perceived usefulness has a significant positive effect on behavioural intentions, while perceived interest shows a weaker effect. Perceived ease of use also has a significant impact on users' perceived value and indirectly affects behavioural intentions. In addition, interactivity and visual appeal also have a significant effect on users' perceived value and behavioural intentions. Designers should focus on improving their perceived usefulness, perceived ease of use, interactivity and visual appeal for designing and improving personalised digital image generation tools.
KW - financial App
KW - intention of use
KW - interaction design
KW - TAM
KW - virtual digital human
UR - http://www.scopus.com/inward/record.url?scp=105009052716&partnerID=8YFLogxK
U2 - 10.1109/ICID64166.2024.11025057
DO - 10.1109/ICID64166.2024.11025057
M3 - 会议稿件
AN - SCOPUS:105009052716
T3 - 2024 5th International Conference on Intelligent Design, ICID 2024
SP - 371
EP - 379
BT - 2024 5th International Conference on Intelligent Design, ICID 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Intelligent Design, ICID 2024
Y2 - 25 October 2024 through 27 October 2024
ER -