[论文解读] What drives the acceptance of AI technology?: the role of expectations and experiences

Minsang Yi, Hanbyul Choi|arXiv (Cornell University)|Jun 17, 2023

Impact of AI and Big Data on Business and Society被引用 12

一句话总结

该论文分析了AI经验与过去的ICT经验如何直接以及通过塑造对AI的期望来影响AI的接受度。

ABSTRACT

In recent years, Artificial intelligence products and services have been offered potential users as pilots. The acceptance intention towards artificial intelligence is greatly influenced by the experience with current AI products and services, expectations for AI, and past experiences with ICT technology. This study aims to explore the factors that impact AI acceptance intention and understand the process of its formation. The analysis results of this study reveal that AI experience and past ICT experience affect AI acceptance intention in two ways. Through the direct path, higher AI experience and ICT experience are associated with a greater intention to accept AI. Additionally, there is an indirect path where AI experience and ICT experience contribute to increased expectations for AI, and these expectations, in turn, elevate acceptance intention. Based on the findings, several recommendations are suggested for companies and public organizations planning to implement artificial intelligence in the future. It is crucial to manage the user experience of ICT services and pilot AI products and services to deliver positive experiences. It is essential to provide potential AI users with specific information about the features and benefits of AI products and services. This will enable them to develop realistic expectations regarding AI technology.

研究动机与目标

• 了解AI与ICT经验如何影响用户对AI的接受意向。
• 检验经验对接受度的直接与间接（通过期望）影响。
• 为试点或部署AI产品的组织提供可执行的建议。

提出的方法

• 本研究分析AI经验、ICT经验、期望与接受意向之间的关系。
• 它识别从经验到接受的直接路径以及通过期望的间接路径。
• 它讨论在管理用户体验以及关于AI特征与利益的信息提供方面的管理含义。

实验结果

研究问题

• RQ1 AI经验与ICT经验如何直接影响AI接受意向？
• RQ2 AI经验和ICT经验是否通过塑造对AI的期望而对接受产生间接影响？
• RQ3 基于经验—期望—接受动态，试点或实施AI的组织应有哪些建议？

主要发现

• 更高的AI经验与更高的接受意向相关。
• 更高的ICT经验与更高的接受意向相关。
• AI和ICT经验促进对AI的期望提升，进而提高接受意向。