Title
Supporting Intelligence Analysts with a Trust-based Question-Answering System
Author
de Boer, M.H.T.
van Maanen, P.P.
Vreeswijk, G.
Publication year
2013
Abstract
Intelligence analysts have to work in highly demanding circumstances. This causes mistakes with severe consequences, which is the reason that support systems for intelligence analysts have been developed. The support system proposed in this paper assists humans by offering support that improves their performance, without reducing them in their freedom. This is done with a trust-based question answering system (T-QAS). An important part of T-QAS are trust models which keep track of trust in each of the agents gathering information. Using these trust models, the system can support the intelligence analyst by: 1) helping to decide which agents are trusted enough to receive questions, 2) providing information about the reliability of each of the sources used, and 3) advising in making decisions based on information from possibly unreliable sources. An implementation of last two capabilities of T-QAS is evaluated in an experiment in which participants perform a decision making task with information from possibly unreliable sources. Results show that the proposed T-QAS support indeed helps participants to improve their performance. We therefore expect that future intelligence analyst support systems can benefit from the inclusion of T-QAS.
Subject
Physics & Electronics ; Human
II - Intelligent Imaging ; PCS - Perceptual and Cognitive Systems
TS - Technical Sciences ; BSS - Behavioural and Societal Sciences
Defence Research
Informatics
Defence, Safety and Security
Decision Support Systems
Performance Evaluation
Intelligence Analists
Data Analysis
Trust Models
To reference this document use:
http://resolver.tudelft.nl/uuid:28136a86-7dce-4ce5-a0cb-fa3d7b1e74ed
DOI
https://doi.org/10.1109/wi-iat.2013.179
TNO identifier
485346
Source
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence (WI) and Intelligent Agent Technology (IAT), 17-20 November 2013, Atlanta, GA, USA, Vol 3., 183-186
Document type
conference paper