Truth, lies, and data: Credibility representation in data analysis

James Schaffer, Tarek Abdelzaher, Debra Jones, Tobias Höllerer, Cleotilde Gonzalez, Jason L. Harman, John O'Donovan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The web has evolved in a scale free manner, with available information about different entities developing in different forms, different locations, and at massive scales. This paper addresses the cognitive limitations that information analysts typically experience as they approach the boundaries where automated analysis algorithms are sorely needed. An experiment is conducted to explore information analysts' interactions with recommendations from an automated fact-finder algorithm during the task of answering questions in a fictional humanitarian aid delivery scenario. An experiment (N=285) is performed using three increasingly complex user interfaces, with and without the presence of the automated recommendations. Results show that in the best performing group, interaction with the fact-finder recommendations was 47 percent greater than the worst performing group.

Original languageEnglish (US)
Title of host publication2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2014
PublisherIEEE Computer Society
Pages28-34
Number of pages7
ISBN (Print)9781479935642
DOIs
StatePublished - 2014
Event2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2014 - San Antonio, TX, United States
Duration: Mar 3 2014Mar 6 2014

Publication series

Name2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2014

Other

Other2014 IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2014
Country/TerritoryUnited States
CitySan Antonio, TX
Period3/3/143/6/14

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