人类-人工智能协作类型对消费者评估和使用意向的影响:责任归因的角度
Beibei Yue1, Hu Li1
1School of Business, Qingdao University, Qingdao, Shandong, China.
Frontiers in psychology
|November 29, 2023
概括
消费者对人工智能 (AI) 的接受程度取决于协作类型和结果预期. 对于积极的结果,更高的AI主导地位是首选的,而对于负面的结果,人工智能协助更好,特别是使用透明算法.
科学领域:
- 消费者行为 消费者行为
- 人与计算机的交互
- 人工智能采用 人工智能采用 人工智能采用 人工智能采用 人工智能采用
背景情况:
- 消费者对人工智能 (AI) 的采用落后于产品的可用性,现有的研究集中在工具属性和AI失败上.
- 关于人工智能作为协作代理及其对人工智能在不同结果预期下被接受的影响的理解有限.
- 在AI产品评估和使用意愿的背景下,人与人工智能关系的视角未被充分探索.
研究的目的:
- 检查人类-人工智能协作类型 (人工智能主导与人工智能辅助) 的交互效应以及对人工智能产品评估和使用意愿的结果预期 (正面与负面).
- 调查人类-人工智能关系中的潜在机制,包括归因和算法透明度的调节作用.
- 为增强人工智能产品和服务的市场整合提供见解.
主要方法:
- 通过使用差异分析 (ANOVA) 和引导方法来验证交互机制,进行了三项在线实验.
- 实验1分析了协作类型和结果预期对消费者评估和使用智能汽车的使用意愿的互动影响.
- 实验2探索了与ChatGPT的归因的调解作用,而实验3使用临床决策系统检查了算法透明度的调节作用.
主要成果:
- 人与人工智能合作的类型和结果预期显著相互作用,影响人工智能产品的评估和使用意愿.
- 在积极的预期下,人工智能主导的系统 (例如自动驾驶) 优先于人工智能辅助的系统;相反的是负面的预期.
- 算法透明度通过增强信任和降低感知风险,积极调节人工智能产品的接受度,特别是在负面结果预期的情况下.
结论:
- 这项研究通过突出人类-人工智能关系在人工智能接受中的重要性来推进消费者行为研究.
- 结果强调了基于结果预期的AI主导与AI辅助协作的差异性影响.
- 提高算法透明度对于促进消费者信任和愿意采用人工智能产品和服务至关重要,特别是在高风险的场景中.
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