在生成性AI服务中消费者自主:任务难度和AI设计元素在增强信任,满意度和使用意图方面的作用
1Research Institute of Human Ecology, Seoul National University, Seoul 08826, Republic of Korea.
Behavioral sciences (Basel, Switzerland)
|April 26, 2025
概括
生成型人工智能可以影响消费者的自主权. 用共享责任设计人工智能可以提高用户的信任和满意度,特别是在困难的任务中,从而促进更好的人工智能参与.
科学领域:
- 消费者行为研究研究
- 人与计算机的互动.
- 人工智能伦理学 人工智能伦理学
背景情况:
- 在消费者决策中整合生成AI引发了对消费者自主权的担忧.
- 人工智能服务提供方便,但可能会限制独立控制,影响信任和满意度.
研究的目的:
- 调查消费者在人工智能辅助决策中感知到的自主权的作用.
- 检查任务难度和AI设计要素 (可解释性,反,共同责任) 如何影响自主性和消费者结果.
主要方法:
- 两个基于场景的实验,共有708名参与者.
- 评估任务难度和人工智能设计对感知到的自主性,信任,满意度和使用意图的影响.
主要成果:
- 感知到的自主性显著提升了消费者信心,尤其是在任务难度很高的情况下.
- 在AI设计中分享责任最有效地提高了自主性,信任,满意度和参与度.
- 解释性和反本身对消费者结果的影响有限.
结论:
- 设计人工智能服务以通过用户参与来积极支持消费者机构至关重要.
- 在促进积极的AI互动方面,共同责任框架比被动透明更有效.
- 这些发现有助于开发以消费者为中心的AI服务,优先考虑用户控制.
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