提高社会机器人的接受度:让它们与人类有所不同
Tatjana A Nazir1, Benjamin Lebrun1, Bing Li1
1University Lille, CNRS, UMR 9193 -SCALab-Sciences Cognitives et Sciences Affectives, Lille, France.
PloS one
|November 17, 2023
概括
人类对人工社会代理人 (ASA) 的侵略源于统治层次结构. 设计具有非人类模拟功能的ASA可促进社会接受性和安全性.
科学领域:
- 人与机器人的交互
- 社会机器人社会机器人社会机器人
- 人工智能伦理学 人工智能伦理学
背景情况:
- 越来越多的社会机器人市场需要了解人类对人工社会代理人的反应 (ASA).
- 机器人滥用事件凸显了在不考虑社会影响和伦理后果的情况下部署ASA的风险.
- 人类对ASAs的侵略可能源于感知到的统治层次,通常是由技能比较引发的.
研究的目的:
- 调查人类的相似性和功能上的相似性如何影响对ASA的看法.
- 确定机器人设计对感知到的"基本的人类品质"和社会接受度的影响.
- 为更安全,更受社会接受的ASA提供设计指南.
主要方法:
- 参与者评估了几对不同的人类相似性和功能"模拟性" (例如,行走与滚动) 的机器人.
- 评估包括感知到的人类相似性",基本化的人类品质",并预测了社会接受度.
- 统计分析将设计特征与人类感知相关联.
主要成果:
- 对于具有人类模拟功能的机器人来说,减少人类相似性降低了人们所感知的"基本的人类品质".
- 对于具有非可模拟功能的机器人来说,人类相似性的减少增加了人们所感知的"基本的人类品质".
- 机器人的可接受性评级与感知到的"基本的人类品质"直接相关,这表明在缺少完美的人模仿时,人们更喜欢非可模拟的设计.
结论:
- 人类对ASA的社会反应受形态和行为线索的影响.
- 为了减轻侵略风险并提高社会接受度,ASA应包含人体不容易模拟的功能.
- 设计具有非人类功能的ASA是一种更安全的方法,而不是针对不完美的人类模仿.
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