Visiting human errors in interacting with IR systems from decision making perspective



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.