Affective natural language generation
Affective interactions
Using tactical NLG to induce affective states: empirical investigations
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
What game theory can do for NLG: the case of vague language
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Slanting existing text with Valentino
Proceedings of the 16th international conference on Intelligent user interfaces
Encouraging students to study more: adapting feedback to personality and affective state
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Generating affective natural language for parents of neonatal infants
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
| Hi-index | 0.00 |
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. Indeed, previous experiments have been unable to show emotional effects of tactical variations. Building on what has been discovered in previous experiments, we present a new experiment which does demonstrate such effects. This represents an important step towards the empirical evaluation of affective NLG systems.