This thesis explores the computerization of knowledge work through a study of five knowledge workers, resulting in a typology of knowledge work tasks and a framework for assessing the capabilities of IBM's Watson. The findings indicate that while Watson excels in tasks such as answering questions and data analysis, it performs poorly in areas requiring human interaction and negotiation. The document discusses the implications for businesses in enhancing knowledge worker efficiency through automation and suggests a need for task-level research in understanding knowledge work.
Related topics: