Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding
Biswesh Mohapatra, Manav Nitin Kapadnis, Laurent Romary, and Justine Cassell. 2024. Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 9767–9781, Miami, Florida, USA. Association for Computational Linguistics.
Field Trial Analysis of Socially-Aware Robot Assistant
Faster Responses are Better Responses: Introducing Incrementality into Sociable Virtual Personal Assistants
Validating the Web-Based Evaluation of NLG Systems
Koller, A., Striegnitz, K., Byron, D., Cassell, J., Dale, R., Dalzel-Job, S., Oberlander, J., Moore, J. (2009) “Validating the Web-Based Evaluation of NLG Systems” in Proceedings of ACL-IJCNLP 2009), Aug 2-7, Singapore.
Social Dialogue with Embodied Conversational Agents
Bickmore, T., Cassell, J. (2004) “Social Dialogue with Embodied Conversational Agents”In J. van Kuppevelt, L. Dybkjaer, and N. Bernsen (eds.), Natural, Intelligent and Effective Interaction with Multimodal Dialogue Systems. New York: Kluwer Academic.
Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents
Cassell, J., Bickmore, T. (2003) “Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents”User Modeling and User-Adapted Interaction 13(1-2): 89-132