Category: Machine Learning

Conversational Grounding: Annotation and Analysis of Grounding Acts and Grounding Units

Mohapatra, B., Hassan, S., Romary, L., & Cassell, J. (2024). Conversational Grounding: Annotation and Analysis of Grounding Acts and Grounding Units. In Proceedings of LREC-COLING 2024, Turin, Italy. Association for Computational Linguistics.

  • Computational Models of Behavior
  • Conversation
  • Machine Learning

When to generate hedges in peer-tutoring interactions

Abulimiti, A., Clavel, C. & Cassell, J. (2023). When to generate hedges in peer-tutoring interactions. In Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pages 572–583, Prague, Czechia. Association for Computational Linguistics.

  • Computational Models of Behavior
  • Conversation
  • Education
  • Machine Learning
  • Multimodal
  • Natural Language Generation (NLG)
  • Peer-Tutoring
  • Peers
  • Virtual Peers

How About Kind of Generating Hedges using End-to-End Neural Models?

Abulimiti, A., Clavel, C. & Cassell, J. (2023). How About Kind of Generating Hedges using End-to-End Neural Models?. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 877–892, Toronto, Canada. Association for Computational Linguistics.

  • Computational Models of Behavior
  • Conversation
  • Education
  • Machine Learning
  • Multimodal
  • Natural Language Generation (NLG)
  • Peer-Tutoring
  • Peers
  • Virtual Peers

A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences

Clavel, C., Labeau, M., & Cassell, J. (2022). A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences. arXiv preprint arXiv:2203.16891.

  • Architectures
  • Computational Models of Behavior
  • Conversation
  • Machine Learning

A model of social explanations for a conversational movie recommendation system

Pecune, F., Murali, S., Tsai, V., Matsuyama, Y., & Cassell, J. (2019). A model of social explanations for a conversational movie recommendation system. In Proceedings of the 7th International Conference on Human-Agent Interaction. https://doi.org/10.1145/3349537.3351899

  • Architectures
  • Machine Learning

Faster responses are better responses: Introducing incrementality into sociable virtual personal assistants

Tsai, V., Baumann, T., Pecune, F., & Cassell, J. (2019). Faster responses are better responses: Introducing incrementality into sociable virtual personal assistants. In 9th International Workshop on Spoken Dialogue System Technology (pp. 111-118). Springer, Singapore.

 

  • Architectures
  • Computational Models of Behavior
  • Embodied Conversational Agents
  • Machine Learning
  • Virtual Peers

A User Simulator Architecture for Socially-Aware Conversational Agents

Jain, A., Pecune, F., Matsuyama, Y., & Cassell, J. (2018, November). A User Simulator Architecture for Socially-Aware Conversational Agents. In Proceedings of the 18th International Conference on Intelligent Virtual Agents (pp. 133-140). ACM.

  • Architectures
  • Conversation
  • Machine Learning
  • Rapport

Predicting the temporal and social dynamics of curiosity in small group learning

Paranjape, B., Bai, Z., Cassell, J. (2018). Predicting the temporal and social dynamics of curiosity in small group learning. In Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED).

  • Conversation
  • Education
  • Machine Learning

Socially-Conditioned Task Reasoning for a Virtual Tutoring Agent

Zhao, Z., Madaio, M., Pecune, F., Matsuyama, Y., & Cassell, J. (2018, July). Socially-Conditioned Task Reasoning for a Virtual Tutoring Agent. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (pp. 2265-2267). International Foundation for Autonomous Agents and Multiagent Systems.

  • Education
  • Implementation
  • Machine Learning
  • Peer-Tutoring
  • Rapport
  • Social Skills

Using Temporal Association Rule Mining to Predict Dyadic Rapport in Peer Tutoring

Madaio, M., Ogan, A., Cassell, J. (2017). Using Temporal Association Rule Mining to Predict Dyadic Rapport in Peer Tutoring. In Proceedings of the 10th International Conference on Educational Data Mining, 2017. (in press).

  • Education
  • Embodied Conversational Agents
  • Machine Learning
  • Multimodal
  • Peer-Tutoring
  • Peers
  • Rapport
  • Social Skills
  • Verbal and Nonverbal

Socially-Aware Animated Intelligent Personal Assistant Agent

Matsuyama, M., Bhardwaj, A., Zhao, R., Romero, O., Akoju, S., Cassell, J. (2016, September). Socially-Aware Animated Intelligent Personal Assistant Agent, 17th Annual SIGDIAL Meeting on Discourse and Dialogue

  • Architectures
  • Computational Models of Behavior
  • Embodied Conversational Agents
  • Implementation
  • Machine Learning
  • Multimodal
  • Natural Language Generation (NLG)
  • Rapport
  • Verbal and Nonverbal

Socially-Aware Virtual Agents: Automatically Assessing Dyadic Rapport from Temporal Patterns of Behavior

Zhao, R., Sinha, T., Black, A., & Cassell, J. (2016, September). “Socially-Aware Virtual Agents: Automatically Assessing Dyadic Rapport from Temporal Patterns of Behavior”, 16th International Conference on Intelligent Virtual Agents (IVA) [*Best Student Paper*]

  • Computational Models of Behavior
  • Conversation
  • Education
  • Machine Learning
  • Multimodal
  • Peer-Tutoring
  • Rapport
  • Verbal and Nonverbal

Automatic Recognition of Conversational Strategies in the Service of a Socially-Aware Dialog System

Zhao, R., Sinha, T., Black, A., & Cassell, J. (2016, September). “Automatic Recognition of Conversational Strategies in the Service of a Socially-Aware Dialog System”, 17th Annual SIGDIAL Meeting on Discourse and Dialogue

  • Computational Models of Behavior
  • Conversation
  • Education
  • Machine Learning
  • Multimodal
  • Peer-Tutoring
  • Rapport
  • Verbal and Nonverbal

Love Ya Jerkface!”: using sparse log-linear models to build positive (and impolite) relationships with teens.

Wang, W., Finkelstein, S., Ogan, A., Black, A., Cassell, J. (2012) “Love Ya Jerkface!”: using sparse log-linear models to build positive (and impolite) relationships with teens.” in Proceedings of the 13th annual SIGDIAL Meeting on Discourse and Dialogue (SIGDIAL 2012), July 5-6, Seoul, Korea.

  • Computational Models of Behavior
  • Machine Learning
  • Rapport