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Freudbot: An Investigation of Chatbot Technology in Distance Education PROCEEDINGS

, , , , , Athabasca University, Canada

EdMedia + Innovate Learning, in Montreal, Canada ISBN 978-1-880094-56-3 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC


A chatbot named Freudbot was constructed using the open source architecture of AIML to determine if a famous person application of chatbot technology could improve student-content interaction in distance education. Fifty-three students in psychology completed a study in which they chatted with Freudbot over the web for 10 minutes under one of two instructional sets. They then completed a questionnaire to provide information about their experience and demographic variables. The results from the questionnaire indicated a neutral evaluation of the chat experience although participants positively endorsed the expansion of chatbot technology and provided clear direction for future development and improvement. A basic analysis of the chatlogs indicated a high proportion of on-task behaviour. There was no effect of instructional set. Altogether, the findings indicate that famous person applications of chatbot technology may be promising as a teaching and learning tool in distance and online education.


Heller, B., Proctor, M., Mah, D., Jewell, L. & Cheung, B. (2005). Freudbot: An Investigation of Chatbot Technology in Distance Education. In P. Kommers & G. Richards (Eds.), Proceedings of ED-MEDIA 2005--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3913-3918). Montreal, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved August 19, 2018 from .


View References & Citations Map


  1. Breger, L. (2000). Freud: Darkness in the midst of vison. New York: Wiley.
  2. Cassell, J., Bickmore, T., Campbell, L., Vilhjalmsson, H., & Yan, H. (2000). Human conversation as a system framework: Designing embodied conversational agents. In J. Cassell, J. Sullivan, S. Prevost, and E. Churchhill (Eds.), Embodied Conversational Agents (pp. 29 – 63). Cambridge: MIT Press
  3. Graesser, A.C., Wiemer-Hastings, K., Wiemer-Hastings, P., Kreuz, R. & Tutoring Research Group (1999). AutoTutor: A simulation of a human tutor. Journal of Cognitive Systems Research, 1, 35-51.
  4. Moreno, R., Mayer, R.E., Spires, H.A., & Lester, J.C. (2001). The case for social agency in computer-based teaching: Do students learn more deeply when they interact with animated pedagogical agents. Cognition and Instruction, 19(2), 177-213.
  5. Reeves, B. & Nass, C. (1996). The Media Equation: how people treat computers, television and new media like real people and places. CLSI Publications
  6. Gibbs G.R. (2003). Emile: Using a chatbot conversation to enhance the learning of social theory. (Tech. Rep. No. 05/S/01) Queensgate, Huddersfield: University of Huddersfield, Centre for Learning and Teaching– Sociology, Anthropology, and Politics.
  7. Weizenbaum, J. (1966). ELIZA--A computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-35.

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