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 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).

  • Date:

    07 August 2016

  • Publication Status:

    Published

  • Publisher

    Association for Computational Linguistics

  • DOI:

    10.18653/v1/P16-2043

  • 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, (264-268). https://doi.org/10.18653/v1/P16-2043

Authors

Keywords

Uncertain data; Natural Language Generation; decision-making;

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