International Journal of Human-Computer Studies
Fully generated scripted dialogue for embodied agents
Artificial Intelligence
Generating Dialogues for Virtual Agents Using Nested Textual Coherence Relations
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Techniques for text planning with XSLT
NLPXML '04 Proceeedings of the Workshop on NLP and XML (NLPXML-2004): RDF/RDFS and OWL in Language Technology
CCG chart realization from disjunctive inputs
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Birds of a feather: How personality influences blog writing and reading
International Journal of Human-Computer Studies
Towards personality-based user adaptation: psychologically informed stylistic language generation
User Modeling and User-Adapted Interaction
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Variation in language style can lead to different perceptions of the interaction, and different behaviour outcomes. Using the CrAg 2 language generation system we examine how accurately judges can perceive character personality from short, automatically generated dialogues, and how alignment (similarity between speakers) alters judge perceptions of the characters' relationship. Whilst personality perception of our dialogues is consistent with perceptions of human behaviour, we find that the introduction of alignment leads to negative perceptions of the dialogues and the inter-locutors' relationship. A follow up evaluation study of the perceptions of different forms of alignment in the dialogues reveals that while similarity at polarity, topic and construction levels is viewed positively, similarity at the word level is regarded negatively. We discuss our findings in relation to the literature and in the context of dialogue systems.