Online search has become a significant activity in the daily lives of individuals throughout much of the world. The almost instantaneous availability of billions of web pages has caused a revolution in the way people seek information. Despite the increasing importance of online search behavior in decision. making and problem solving, very little is known about why people stop searching for information online. In this paper, we review the literature concerning online search and cognitive stopping rules, and then describe specific types of information search tasks. Based on this theoretical development, we generated hypotheses and conducted an experiment with 115 participants each performing three search tasks on the web. Our findings show that people utilize a number of stopping rules to terminate search, and that the stopping rule used depends on the type of task performed. Implications for online information search theory and practice are discussed.
Understanding the cognitive activities of analysts during information requirements determination (IRD) has been recognized as a key indicator of IRD success. The research presented here examines one such cognitive activity: analysts' determination of the sufficiency of information gathered during the elicitation of requirements. Research in behavioral decision-making has identified various heuristics, or stopping rules, that are used to gauge the sufficiency of the information obtained and to terminate information acquisition. Despite the fact that analysts undoubtedly employ such stopping rules in requirements elicitation, no research has studied this phenomenon. In the present research, we present a classification of stopping rules appropriate for information gathering problems. Stopping-rule use was identified for 54 practicing systems analysts participating in a requirements determination problem in a laboratory setting. Results indicated that analyst experience influences the application of specific cognitive stopping rules, and that the use of these stopping rules has an impact on requirements determination outcomes. In addition, the use of certain stopping rules resulted in greater quantity and completeness of requirements elicited from users. Theoretical implications for the elicitation of information and practical implications for the training of systems analysts are discussed.