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Natural Language Generation enhances human decision-making with uncertain information.

Gkatzia, Dimitra; Lemon, Oliver; Rieser, Verena


Oliver Lemon

Verena Rieser


Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentations for uncertain data and, for the first time, measure their effects on human decision-making. We show that the use of Natural Language Generation (NLG) improves decision-making under uncertainty, compared to state-of-the-art graphical-based representation methods. In a task-based study with 442 adults, we found that presentations using NLG lead to 24% better decision-making on average than the graphical presentations, and to 44% better decision-making when NLG is combined with graphics. We also show that women achieve significantly better results when presented with NLG output (an 87% increase on average compared to graphical presentations).

Presentation Conference Type Conference Paper (Published)
Conference Name 54th Annual Meeting of the Association for Computational Linguistics (ACL) Volume 2 (short papers)
Start Date Aug 7, 2016
End Date Aug 12, 2016
Acceptance Date Apr 15, 2016
Publication Date Aug 7, 2016
Deposit Date May 25, 2016
Publicly Available Date Aug 7, 2016
Publisher Association for Computational Linguistics (ACL)
Peer Reviewed Peer Reviewed
Pages 264-268
Book Title Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics
ISBN 978-1-945626-01-2
Keywords Uncertain data; Natural Language Generation; decision-making;
Public URL
Contract Date May 25, 2016


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