退屈・汚い・危険：ロボティクス研究の動機付けの変遷と未来
Dull, Dirty, Dangerous: Understanding the Past, Present, and Future of a Key Motivation for Robotics
ロボティクス論文における「退屈・汚い・危険（DDD）」作業の言及を分析し、定義や具体例の不足を指摘。社会科学の知見を基にDDDの概念を整理し、ロボットが人間労働に与える影響を考える枠組みを提案した。
著者: Nozomi Nakajima, Pedro Reynolds-Cuéllar, Caitrin Lynch, Kate Darling
分類: cs.RO
原文アブストラクト
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.