额外的任务增加了人们向算法卸载认知的能力的意愿
Basil Wahn1,2, Laura Schmitz3
1Institute of Educational Research, Ruhr University Bochum, Bochum, Germany. basilwahn@gmail.com.
Cognitive research: principles and implications
|April 23, 2024
概括
人们更愿意把苛刻的任务卸给算法,当他们知道算法是完美的. 一个奖励任务,即使没有激励,也会增加将任务委托给AI的意愿.
科学领域:
- 人与计算机的交互
- 认知心理学 认知心理学
- 人工智能的人工智能
背景情况:
- 技术进步使得任务委托给算法成为可能.
- 了解人类的信任和愿意卸载认知任务至关重要.
研究的目的:
- 调查影响将需要注意力的任务委托给算法的因素.
- 检查算法容量知识和奖励任务可用性的对卸载行为的影响.
主要方法:
- 参与者从事多个对象跟踪 (MOT) 任务.
- 在算法准确性信息和奖励任务激励的不同条件下,评估了卸载行为.
- 一个"计算机合作伙伴"可用于任务委托.
主要成果:
- 当参与者知道算法的准确性是完美的时,完成任务的卸载量显著增加.
- 额外任务的存在,即使没有经济激励,也增加了卸货的意愿.
- 奖励任务的激励并没有显著改变卸载行为.
结论:
- 了解算法的完美准确度可以提高人类对委托任务的意愿.
- 奖金任务,不管有没有财务激励,都会显著增加任务卸载.
- 这些发现有助于设计人类-人工智能协作系统.
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