Coupling Cognitive Systems

The research program aims at translating theories in cognitive psychology, human-computer interaction and machine learning to design information technologies that support complex cognitive processes (such as decision-making and learning) for adults across the lifespan.

Ongoing Projects

  • Designing instructional conversational agents for older adults

    • Current students: Smit Desai
  • Designing persuasive conversational agents for health behavior nudging

    • Current student: Smit Desai
  • AI-assisted agents in informal/self-regulated learning

    • Current students: Smit Desai, Tre Tomaszewski
  • Combing learning theories and machine-learning to design interactive learning interfaces

    • Current Student: Tre Tomaszewski

Selected Publications

Desai, S. & Chin, J. (2020). An explorative analysis of the feasibility of implementing metacognitive strategies in self-regulated learning with the conversational agents. In Proceedings of the 64th International Annual Meeting of the Human Factors and Ergonomics Society.


Completed Projects

  • Designing adaptive interface to support web information search for older adults

Chin, J. & Fu, W-T. (2012). Age differences in exploratory learning from a health information website. In Proceedings of the 30th ACM Conference on Human Factors in Computing Systems CHI’12 (pp. 3031-3040). Austin, TX: ACM Press. DOI:10.1145/2207676.2208715

Chin, J. & Fu, W-T. (2010). Interactive effects of age and interface differences on search strategies and performance. In Proceedings of the 28th ACM Conference on Human Factors in Computing Systems CHI’10 (pp.403-412). Atlanta, GA: ACM Press. DOI: 10.1145/1753326.1753387

Chin, J., Fu, W-T. & Kannampallil, T. (2009). Adaptive information search: Age-dependent interactions between cognitive profiles and strategies. In Proceedings of the 27th ACM Conference on Human Factors in Computing Systems CHI’09 (pp.1683-1692). Boston, MA: ACM Press. DOI: 10.1145/1518701.1518961