理清知识工作背后的认知过程
Untangling Cognitive Processes Underlying Knowledge Work
AI总结：
本研究探讨知识工作背后的认知过程，评估Bloom等现有分类作为认知工具设计基础的可行性，发现其解构不够全面且难以操作化。
摘要：
在后工业社会中，工作场所主要由知识工作主导，这主要通过人类认知处理来实现，如分析、理解、评估和决策。其中许多过程在技术上得到的支持有限，而体力任务则通过从锤子、铲子到液压升降机等一系列工具得到了实现。为了开发一套认知工具，我们首先需要了解人类使用哪些过程来完成工作任务。在过去的一个世纪里，出现了几种认知过程分类（例如Bloom分类），我们评估了它们作为设计支持认知工作工具基础的可行性。本研究重新利用了一个现有数据集，该数据集由对环境科学家关于其核心工作的访谈组成。虽然该分类揭示了认知过程的许多实例，但结果表明，现有的认知过程分类未能对人类认知过程提供足够全面的解构；这项工作实在过于抽象而无法操作化。
英文摘要：
In a post-industrial society, the workplace is dominated primarily by Knowledge Work, which is achieved mostly through human cognitive processing, such as analysis, comprehension, evaluation, and decision-making. Many of these processes have limited support from technology in the same way that physical tasks have been enabled through a host of tools from hammers to shovels and hydraulic lifts. To develop a suite of cognitive tools, we first need to understand which processes humans use to complete work tasks. In the past century several classifications (e.g., Blooms) of cognitive processes have emerged, and we assessed their viability as the basis for designing tools that support cognitive work. This study re-used an existing data set composed of interviews of environmental scientists about their core work. While the classification uncovered many instances of cognitive process, the results showed that the existing cognitive process classifications do not provide a sufficiently comprehensive deconstruction of the human cognitive processes; the work is quite simply too abstract to be operational.
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。
