情境中的数据：数字化转型如何为信息物理生产系统中的人类推理提供支持
Data in context: How digital transformation can support human reasoning in cyber-physical production systems
AI总结：
本文针对传统生产技术缺乏情境支持的问题，结合心理学相关文献推导数字化转型技术的功能需求，介绍可推动情境化的技术并阐释其作用，为信息物理生产系统的人机协作设计提供参考。
摘要：
在传统生产工厂中，现有技术无法提供充足的情境来支持信息的整合与解读。数字化转型技术具备支持情境化的潜力，但目前尚不清楚如何实现这一目标。本文综述了与情境化相关的四个领域的心理学文献：信息采样、信息整合、分类与因果推理，探讨了人类信息处理过程中存在的典型偏差与局限性。基于这些文献，我们推导出数字化转型技术的功能需求，重点关注其应当支持的认知活动。随后，我们介绍了一系列有望推动情境化的技术，这些技术能够实现系统关系建模、多源数据整合，以及将当前情境与历史数据关联。我们阐释了这些技术如何支持情境化推理，并强调了在信息物理生产系统中设计人机协作时应当解决的挑战。
英文摘要：
In traditional production plants, current technologies do not provide sufficient context to support information integration and interpretation. Digital transformation technologies have the potential to support contextualization, but it is unclear how this can be achieved. The present article reviews psychological literature in four areas relevant to contextualization: information sampling, integration, categorization, and causal reasoning. Characteristic biases and limitations of human information processing are discussed. Based on this literature, we derive functional requirements for digital transformation technologies, focusing on the cognitive activities they should support. We then present a selection of technologies that have the potential to foster contextualization. These technologies enable the modelling of system relations, the integration of data from different sources, and the connection of the present situation with historical data. We illustrate how these technologies can support contextual reasoning and highlight challenges that should be addressed when designing human-technology cooperation in cyber-physical production systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
