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).
|Title of host publication||Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics|
|Publisher||Association for Computational Linguistics|
|Number of pages||5|
|Publication status||Published - 2016|
|Event||54th Annual Meeting of the Association for Computational Linguistics 2016 - Berlin, Germany|
Duration: 7 Aug 2016 → 12 Aug 2016
|Conference||54th Annual Meeting of the Association for Computational Linguistics 2016|
|Abbreviated title||ACL 2016|
|Period||7/08/16 → 12/08/16|
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The extended WeatherGame
Rieser, V. (Creator), Gkatzia, D. (Creator) & Lemon, O. (Creator), Heriot-Watt University, 2016
- School of Mathematical & Computer Sciences - Professor
- School of Mathematical & Computer Sciences, Computer Science - Professor
Person: Academic (Research & Teaching)