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


Autoria(s): Gkatzia, Dimitra; Lemon, Oliver; Rieser, Verena
Data(s)

15/04/2016

Resumo

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).

Formato

application/pdf

other

Identificador

http://researchrepository.napier.ac.uk/10278/1/Gkatzia.pdf

http://researchrepository.napier.ac.uk/10278/2/Gkatzia%20ACL%202016%20Submission%20%28Number%20318%29.msg

Gkatzia, Dimitra, Lemon, Oliver and Rieser, Verena (2016) Natural Language Generation enhances human decision-making with uncertain information. In: 54rth Annual Meeting of the Association for Computational Linguistics (ACL), 7-12 August 2016, Berlin, Germany. (Submitted)

Idioma(s)

en

en

Relação

http://researchrepository.napier.ac.uk/10278/

Palavras-Chave #QA75 Electronic computers. Computer science
Tipo

Conference or Workshop Item

PeerReviewed