与人类相比,机器人面部感知中的感知歧视减弱
Abdulaziz Abubshait1,2, Patrick P Weis3,4, Ali Momen3,5
1Italian Institute of Technology, Genoa, Italy. Abdulaziz.abubshait@iit.it.
Scientific reports
|October 4, 2023
概括
人类比人类更不有效地识别机器人,但这种能力随着类似人类的机器人设计和经验而得到改善. 了解机器人个性化是更好的人机团队的关键.
科学领域:
- 人与机器人的交互
- 认知心理学 认知心理学
- 社会机器人社会机器人社会机器人
背景情况:
- 人类经常认为机器人群是均的,将类似的能力归因于所有成员.
- 这种过度概括可能源于有限的感知经验或缺乏个人化动机.
- 这种同质性破坏了人机团队的信任和绩效,需要制定有效的机器人个性化策略.
研究的目的:
- 为了调查人类在多大程度上可以个性化机器人.
- 为了比较人类对机器人的个性化与人类刺激 (内组/外组).
- 为了检查机器人物理人类相似性对个体化表现的影响.
主要方法:
- 实验1 (n=225) 将机器人个性化与人类内组/外组个性化进行比较.
- 实验2 (n=177) 评估了高与低的物理人相似性对机器人个性化的影响.
- 数据分析的重点是量化不同条件的个体化性能差异.
主要成果:
- 人类可以识别机器人,但在较小的程度上比人类的刺激更少.
- 最初,更像人类的机器人比不像人类的机器人更好地个性化.
- 随着时间的推移,与人类相似的效果逐渐减少,这表明机器人个性化的快速学习.
结论:
- 虽然人类可以个性化机器人,但与人类个性化相比,这种能力较不发达.
- 机器人的身体与人类相似程度会影响最初的个体化,但这种影响是暂时的.
- 未来的研究应该探索是感知体验还是动机因素驱动机器人个性化的差异.
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