Ergonomics and human factors: still fading—and why we need to embrace the AI revolution
本文指出人因工程学（EHF）在AI时代滞后且衰落，其他学科正主导人机协作研究，呼吁EHF采用数据驱动AI方法，并用视觉语言模型复现经典研究展示AI潜力，否则面临生存危机。
Many of the commentators use the opportunity to highlight the value of Ergonomics and Human Factors (EHF) and challenge the notion that the discipline is fading. In response, we argue that EHF science is lagging behind the rapid developments in AI, remains entrenched in past-century achievements, and is in decline. Indices such as membership counts, conference attendance numbers, and new regulations reflect activity, but not necessarily impact. Important questions about human-AI collaboration are being addressed by other disciplines, often without the involvement of EHF. Rather than advocating for systemic frameworks, we advocate for new skill development and the adoption of data-driven AI methods. To illustrate the potential of AI within EHF, we demonstrate how a vision-language model can replicate findings from a classic knobs-and-dials study. In conclusion, we acknowledge EHF's knowledge base but foresee existential risks unless the field undergoes major reforms to remain relevant in an AI-dominated future.