论文标题
信息行为可以告知机器学习吗？
Can Information Behaviour Inform Machine Learning?
论文作者
论文摘要
本文的目的是探索人类信息行为研究的机会，以告知和影响机器学习领域和由此产生的机器信息行为。本文以机器学习中的基础模型的开发，说明了人类信息行为研究如何使机器学习如何使信息和信息更细微的了解，更好地了解信息需求，以及如何影响人们和系统之间的沟通，对上下文的性质的指导以及如何在模型和系统中进行对偏见，误解和误解的洞察力，以及如何在模型和系统中进行操作。尽管存在明显的差异，但信息行为和机器学习领域都有许多共同的目标，范式和关键的研究问题。基础模型的示例表明，人类信息行为研究在解决机器信息行为的新生区域中出现的一些挑战时需要提供很多东西。
The objective of this paper is to explore the opportunities for human information behaviour research to inform and influence the field of machine learning and the resulting machine information behaviour. Using the development of foundation models in machine learning as an example, the paper illustrates how human information behaviour research can bring to machine learning a more nuanced view of information and informing, a better understanding of information need and how that affects the communication among people and systems, guidance on the nature of context and how to operationalize that in models and systems, and insights into bias, misinformation, and marginalization. Despite their clear differences, the fields of information behaviour and machine learning share many common objectives, paradigms, and key research questions. The example of foundation models illustrates that human information behaviour research has much to offer in addressing some of the challenges emerging in the nascent area of machine information behaviour.
