Full Text Searching and Information Overload

Olsen, Kai A.; Sochats, Kenneth M; Williams, J. G.

doi:10.1006/iilr.1998.0087

Cited by 7 publications

(1 citation statement)

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“…Others have observed this propensity to narrow returned sets based on the num ber of hits almost indiscriminately w hen the data sets are large (Blair, 1980 observed this pattern with users of indexed databases and explained the pattern as a result of overestimating the probability of conjunctive sets; Olsen, Sochats, and Williams, 1998 discuss the need to support narrow ing tactics that are orthogonal to keyword terms such as document attributes because of the potential of removing interesting documents in data overload conditions through the overuse of adding keyword terms to narrow document sets). Although effective in making the am ount of data to be browsed manageable, this coping strategy leaves analysts vulnerable to missing critical information, particularly since the impact of the different narrow ing tactics to the relationship of the information that is sam pled to w hat is available is opaque to the end-user.…”

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confidence: 97%

A Simulation Study of Computer-Supported Inferential Analysis Under Data Overload

Woods

Patterson

1999

Proceedings of the Human Factors and Ergonomics Society Annual

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A simulation study of inferential analysis under data overload was conducted with professional intelligence analysts. Using a process tracing methodology, patterns in information sampling and sources of inaccurate statements were identified when analysts were asked to analyze something outside their base of expertise, were tasked with a tight deadline, and had a large data set. The main contribution from this study is a better understanding of potential vulnerabilities in inferential analysis in challenging situations. These vulnerabilities are informative because they point to a set of design criteria that human-centered solutions to data overload should meet in order to be useful. These evaluation criteria are interesting, in part, because they are so difficult to address. They are not amenable to simple, straightforward adjustments or feature additions to current tools. Meeting these design criteria will require innovative design concepts.

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confidence: 97%