绩效预期,工作量,风险和满意度对聊天信任的影响GPT:跨部门调查分析
Avishek Choudhury1, Hamid Shamszare1
1Industrial and Management Systems Engineering, Benjamin M. Statler College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV, United States.
JMIR human factors
|May 27, 2024
概括
用户对ChatGPT的信任受工作量,满意度,绩效期望和风险效益感知的影响. 为用户满意度优化AI设计是建立对人工智能工具信任的关键.
科学领域:
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
- 技术的接受技术的接受
背景情况:
- 聊天GPT,一个突出的大型语言模型,在各种应用程序中呈现出机遇和风险.
- 了解用户的看法和设置现实的期望对于成功整合像ChatGPT这样的AI技术至关重要.
- 该研究解决了围绕部署和用户对先进人工智能工具的信任日益增长的话语.
研究的目的:
- 调查影响用户对ChatGPT信任的因素.
- 检查感知工作量,用户满意度,业绩预期和风险-收益感知在塑造信任中的作用.
- 为用户接受人工智能聊天机器人提供见解.
主要方法:
- 在美国对607名活跃的ChatGPT用户进行了基于网络的调查.
- 调查工具是根据既有理论进行的,包括技术接受模型和技术接受和使用的统一理论.
- 部分最小平方结构方程建模 (PLS-SEM) 用于数据分析和假设测试.
主要成果:
- 该研究确定了工作负载和满意度,信任和满意度,绩效期望和信任,风险效益感知和信任之间的重要关系.
- 用户使用ChatGPT的动机包括获取信息,娱乐和解决问题.
- 开发的模型占用户信任差异的64.6%.
结论:
- 用户友好的设计和功能对于减少工作量和提高用户满意度至关重要,这反过来又促进了对AI应用程序的信任.
- 建议进行进一步的研究,以加深对风险效益感知对人工智能聊天机器人信任的影响的理解.
- 研究结果强调了以用户为中心的方法在AI开发和部署中的重要性.
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