Research on the Influence of Virtual Adviser Identity Disclosure on Users’ Adoption Intention
- DOI
- 10.2991/978-94-6463-005-3_14How to use a DOI?
- Keywords
- Virtual adviser; Identity disclosure; Task type; Trust; Adoption intention
- Abstract
With the development of artificial intelligence and machine learning technology, virtual adviser provides users with a new way to seek help and decision support. This technology has great advantages in efficiency and decision accuracy, but its application is also facing challenges - the customer pushback caused by machine identity disclosure. Based on Task-Technology Fit Theory, this study proposes a research model to test the impact of the matching between identity disclosure and task types on user trust and adoption intention. We propose a 2 (virtual adviser identity disclosure: disclosure vs. non-disclosure) × 2 (task type: objective task vs. subjective task) experiment. This study uses SPSS25.0 analysis software to find that identity disclosure will have a significant impact on users’ adoption intention, trust plays a mediation role, and produces differentiated results in different task types. The experimental results of this study will provide theoretical and practical guidance for service providers to understand user psychology and deploy virtual services.
- Copyright
- © 2023 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 - Ying Zhu PY - 2022 DA - 2022/11/10 TI - Research on the Influence of Virtual Adviser Identity Disclosure on Users’ Adoption Intention BT - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022) PB - Atlantis Press SP - 133 EP - 143 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-005-3_14 DO - 10.2991/978-94-6463-005-3_14 ID - Zhu2022 ER -