Visiting human errors in interacting with IR systems from decision making perspective
Yan Zhang · Proceedings of the American Society for Information Science and Technology · 2008
Abstract People's interaction and negotiation with an information retrieval (IR) system is a constant decision making process, where people make errors as they do in their daily lives. Knowledge of biases and heuristics inherent in human reasoning as suggested by decision‐making theories provides us a useful tool to explore the underlying cognitive processes of human errors in using IR systems. In this pilot study, we explore the potential of decision‐making theories for explaining human IR errors and propose a tentative knowledge structure of human errors in IR systems.