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术语如何影响用户对系统故障的反应
Cindy Candrian1, Anne Scherer2
1Delta Labs AG, Zurich, Switzerland.
在系统中使用"AI"而不是"算法"可以改善用户在错误后的行为. 战略术语可以减轻算法厌恶,增强对人工智能和算法系统的信任.
科学领域:
- 人与计算机的交互
- 行为经济学是一种行为经济学.
- 人工智能伦理学 人工智能伦理学
背景情况:
- 由于可互换的术语,研究中对系统的信任存在模糊性.
- 缺乏对系统描述如何影响用户感知和行为的清晰理解.
研究的目的:
- 调查系统术语对系统错误后消费者行为的影响.
- 探索动态信任和归属理论如何解释用户对系统故障的反应.
- 通过战略术语,提供关于减轻算法厌恶的指导.
主要方法:
- 三项实证研究研究了系统术语对消费者行为的影响.
- 根据不同的命名惯例 (例如",AI"与"算法") 对系统故障的行为反应的分析.
主要成果:
- 系统术语显著影响用户行为和信任.
- 将系统描述为"AI" (自学,复杂) 引发了更有利的用户对错误的反应,而不是将其描述为"算法" (基于规则,不那么复杂).
结论:
- 术语是至关重要的,可以无意中影响研究的稳定性和可复制性.
- 当"AI"不适用时,解释错误和任务复杂性可以提高用户接受度.
- 术语的战略性使用可以增强用户对人工智能和算法系统的信任和接受.
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