Pragmatics and natural language generation
Artificial Intelligence
Affective natural language generation
Affective interactions
An empirical study of the influence of argument conciseness on argument effectiveness
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Ecological evaluation of persuasive messages using Google AdWords
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
MinkApp: generating spatio-temporal summaries for nature conservation volunteers
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
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One major aim of research in affective natural language generation is to be able to use language intelligently to induce effects on the emotions of the reader/ hearer. Although varying the content of generated language ("strategic" choices) might be expected to change the effect on emotions, it is not obvious that varying the form of the language ("tactical" choices) can do this. This chapter discusses two experiments carried out to show emotional effects of tactical variations. With the first experiment we were not able to show clear, statistically significant differences between the effects of the different texts in readers. We discuss a number of possible reasons and, building on our discoveries, we present a second experiment which does demonstrate such effects. This represents an important step towards the empirical evaluation of affective NLG systems.