Research Output

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

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

  • Date:

    07 August 2016

  • Publication Status:

    Published

  • Publisher

    Association for Computational Linguistics

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

  • Funders:

    EPSRC

Citation

Gkatzia, D., Lemon, O. & Rieser, V. (2016). Natural Language Generation enhances human decision-making with uncertain information. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 264. ISBN 978-1-945626-01-2

Authors

Keywords

Uncertain data; Natural Language Generation; decision-making;

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