剖析机器人领域'枯燥脏险'动机的演变与缺失
Dull, Dirty, Dangerous: Understanding the Past, Present, and Future of a Key Motivation for Robotics
- 分析1980-2024年论文，发现仅2.7%明确定义DDD
- 仅8.7%提供具体枯燥脏险工作案例
- 提出新框架，引导关注工作场景对劳动的影响
在机器人领域，'枯燥、脏乱、危险'（DDD）工作常被用来说明机器人的应用价值。本文对1980至2024年间提及DDD的机器人论文进行实证分析，发现仅有2.7%的论文明确定义了DDD，8.7%的论文提供了具体的枯燥、脏乱或危险任务实例。随后，我们梳理社会科学文献中关于'枯燥''脏乱''危险'工作的定义与分类，为机器人研究提供概念参考。最后，提出一个新框架，帮助机器人学界更系统地考虑技术部署的工作情境，推动对机器人如何影响人类劳动的深入思考。
原文摘要 · Abstract (English)
In robotics, the concept of "dull, dirty, and dangerous" (DDD) work has been used to motivate where robots might be useful. In this paper, we conduct an empirical analysis of robotics publications between 1980 and 2024 that mention DDD, and find that only 2.7% of publications define DDD and 8.7% of publications provide concrete examples of tasks or jobs that are DDD. We then review the social science literature on "dull," "dirty," and "dangerous" work to provide definitions and guidance on how to conceptualize DDD for robotics. Finally, we propose a framework that helps the robotics community consider the job context for our technology, encouraging a more informed perspective on how robotics may impact human labor.
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