Using Tactical NLG to Induce Affective States: Empirical Investigations

Ielka van der Sluis, Christopher Stuart Mellish

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)
3 Downloads (Pure)

Abstract

This paper reports on attempts at Aberdeento measure the effects on readers’ emotions of positively and negatively “slanted” texts with the same basic message. The “slanting” methods could be implemented in an (NLG) system. We discuss a number of possible reasons why the studies were unable to show clear, statistically significant differences between the effects of the different texts.
Original languageEnglish
Title of host publicationProceedings of the Fifth International Natural Language Generation Conference
PublisherAssociation for Computational Linguistics
Pages68-76
Number of pages9
Publication statusPublished - Jun 2008
EventFifth International Natural Language Generation Conference - Ohio, United States
Duration: 12 Jun 200815 Jun 2008

Conference

ConferenceFifth International Natural Language Generation Conference
Country/TerritoryUnited States
CityOhio
Period12/06/0815/06/08

Bibliographical note

This work was supported by the EPSRC
grant ‘Affecting people with natural language’
(EP/E011764/1) and also in part by Science Foundation Ireland under a CSET grant (NGL/CSET).
We would like to thank the people who contributed
to this study, most notably Louise Phillips, Emiel
Krahmer, Linda Moxey, Graeme Ritchie, Judith
Masthoff, Albert Gatt and Kees van Deemter.

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