Dr Dimitra Gkatzia D.Gkatzia@napier.ac.uk
Associate Professor
Data-to-Text Generation Improves Decision-Making Under Uncertainty
Gkatzia, Dimitra; Lemon, Oliver; Rieser, Verena
Authors
Oliver Lemon
Verena Rieser
Abstract
Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. This article presents a comparison of different information presentations for uncertain data and, for the first time, measures their effects on human decision-making, in the domain of weather forecast generation. We use a game-based setup to evaluate the different systems. We show that the use of Natural Language Generation (NLG) enhances 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 led 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). Finally, we present a further analysis of demographic data and its impact on decision-making, and we discuss implications for future NLG systems.
Citation
Gkatzia, D., Lemon, O., & Rieser, V. (2017). Data-to-Text Generation Improves Decision-Making Under Uncertainty. IEEE Computational Intelligence Magazine, 12(3), 10-17. https://doi.org/10.1109/MCI.2017.2708998
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 18, 2017 |
Online Publication Date | Jul 18, 2017 |
Publication Date | 2017-08 |
Deposit Date | Feb 21, 2017 |
Publicly Available Date | Mar 28, 2024 |
Journal | IEEE Computational Intelligence Magazine |
Print ISSN | 1556-603X |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 3 |
Pages | 10-17 |
DOI | https://doi.org/10.1109/MCI.2017.2708998 |
Keywords | Natural language processing, Decision making, Data analysis, Games, Pragmatics, Uncertainty, Weather forecasting |
Public URL | http://researchrepository.napier.ac.uk/Output/687579 |
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