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Proceedings Paper

Human-Assisted Machine Information Exploitation: a crowdsourced investigation of information-based problem solving
Author(s): Sue E. Kase; Michelle Vanni; Justine Caylor; Jeff Hoye
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Paper Abstract

The Human-Assisted Machine Information Exploitation (HAMIE) investigation utilizes large-scale online data collection for developing models of information-based problem solving (IBPS) behavior in a simulated time-critical operational environment. These types of environments are characteristic of intelligence workflow processes conducted during human-geo-political unrest situations when the ability to make the best decision at the right time ensures strategic overmatch. The project takes a systems approach to Human Information Interaction (HII) by harnessing the expertise of crowds to model the interaction of the information consumer and the information required to solve a problem at different levels of system restrictiveness and decisional guidance. The design variables derived from Decision Support Systems (DSS) research represent the experimental conditions in this online single-player against-the-clock game where the player, acting in the role of an intelligence analyst, is tasked with a Commander’s Critical Information Requirement (CCIR) in an information overload scenario. The player performs a sequence of three information processing tasks (annotation, relation identification, and link diagram formation) with the assistance of ‘HAMIE the robot’ who offers varying levels of information understanding dependent on question complexity. We provide preliminary results from a pilot study conducted with Amazon Mechanical Turk (AMT) participants on the Volunteer Science scientific research platform.

Paper Details

Date Published: 3 May 2017
PDF: 17 pages
Proc. SPIE 10207, Next-Generation Analyst V, 1020705 (3 May 2017); doi: 10.1117/12.2263704
Show Author Affiliations
Sue E. Kase, U.S. Army Research Lab. (United States)
Michelle Vanni, U.S. Army Research Lab. (United States)
Justine Caylor, U.S. Army Research Lab. (United States)
Jeff Hoye, Jefferson Hoye LLC (United States)


Published in SPIE Proceedings Vol. 10207:
Next-Generation Analyst V
Timothy P. Hanratty; James Llinas, Editor(s)

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