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Modeling Curiosity for Virtual Learning Companions


Authors: Q. Wu, C. Miao, and B. An
Title: Modeling Curiosity for Virtual Learning Companions
Abstract: Curiosity is an emotional motivation that drives knowledge acquisition in learning context. Studies have shown that curiosity positively influences social learning and a peer learner’s curiosity may elicit the curiosity of other learners. Hence, modeling curiosity in learning companions may improve human learners’ learning experience in virtual environments. However, curiosity has not been explored as one key personality trait in existing learning companions. In this paper, we propose a novel model of curiosity for learning companions to capture salient curiosity stimuli based on human psychology. Our model is based on Silvia’s theory and considers three most salient appraisal variables in virtual learning environments, including novelty, surprise, and uncertainty.
Keywords: Curiosity; Learning companion; Virtual learning environment
Conference Name: 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'14)
Location: Paris, France
Publisher: IFAAMAS
Year: 2014
Accepted PDF File: Modeling_Curiosity_for_Virtual_Learning_Companions_accepted.pdf
Permanent Link: http://aamas2014.lip6.fr/proceedings/aamas/p1401.pdf
Reference: Q. Wu, C. Miao, and B. An, “Modeling curiosity for virtual learning companions,” in Proceedings of the 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’14). IFAAMAS, May 2014, pp. 1401–1402.
bibtex: 
@inproceedings{LILY-c17,
   author 	= {Wu, Qiong and Miao, Chunyan and An, Bo},
   title 	= {Modeling Curiosity for Virtual Learning Companions},
   booktitle 	= {Proceedings of the 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'14)},
   year 	= {2014},
   month	= {May}, 
   pages 	= {1401-1402},
   location 	= {Paris, France},
   publisher 	= {IFAAMAS},
}