了解用户对人工智能应用程序的接受:一篇文献综述
Pengtao Jiang1,2, Wanshu Niu3, Qiaoli Wang4
1School of Information Science and Engineering, NingboTech University, Ningbo 315100, China.
Behavioral sciences (Basel, Switzerland)
|August 29, 2024
概括
本研究回顾了人工智能 (AI) 接受研究,阐明了AI服务提供商和任务替代品如何影响用户接受. 它确定了人类与人工智能交互的关键因素和未来研究方向.
科学领域:
- 信息系统信息系统信息系统
- 营销 营销 营销 营销 营销 营销
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 用户对人工智能 (AI) 的接受度越来越重要,随着其不断扩大的应用.
- 现有的研究往往忽视了人工智能应用在人类-人工智能交互中的独特作用,导致了不一致的发现.
- 对人工智能接受的全面理解需要检查不同的AI应用类型.
研究的目的:
- 系统地审查2020年至2023年之间发表的AI接受文献.
- 澄清人工智能服务提供商与人工智能任务替代品在用户接受中的角色.
- 确定人工智能接受的方法,理论框架,关键因素和未来研究途径.
主要方法:
- 从领先的信息系统和营销期刊的80篇论文的系统文献评论.
- 对方法,理论框架和影响人工智能接受的关键因素的分析.
- 人工智能应用的分类为服务提供商和任务替代者.
主要成果:
- 对人工智能接受研究中的各种方法和理论框架的概述.
- 用户接受人工智能服务提供商的关键因素和机制的总结.
- 为用户接受人工智能任务替代品的因素识别和理论化.
- 综合目前的研究局限性和未来研究的方向.
结论:
- 该研究提供了对人工智能接受性研究的结构化概述,强调需要区分人工智能角色.
- 它为理解用户对人类-人工智能交互中的各种AI应用程序的响应提供了基础.
- 为未来的研究提供了建议,以解决人工智能接受文献中现有的差距和不一致性.
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