Open AccessVisiting human errors in interacting with IR systems from decision making perspective
Author(s) -
Zhang Yan
Publication year - 2008
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.2008.1450450316
Subject(s) - heuristics , perspective (graphical) , negotiation , computer science , cognition , process (computing) , knowledge management , human–computer interaction , artificial intelligence , data science , management science , psychology , sociology , engineering , social science , neuroscience , operating system
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.