Category: Machine Learning

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
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