Automatic generation of emotions in tutoring agents for affective e-learning in medical education-Reference-Cited by-同舟云学术

Automatic generation of emotions in tutoring agents for affective e-learning in medical education

Published:2011-08 Issue:8 Volume:38 Page:9840-9847
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Alepis Efthymios,Virvou Maria

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference24 articles.

1. Alepis, E., Virvou, M., & Kabassi, K. (2008). Mobile education: Towards affective bi-modal interaction for adaptivity. In 3rd International conference on digital information management (pp. 51–56).

2. Brusilovsky, P. (1999). Adaptive and Intelligent Technologies for Web-based Education. In C. Rollinger, C. Peylo (Eds.), Künstliche Intelligenz (4) (pp. 19–25) [Special Issue on Intelligent Systems and Teleteaching].

3. Designing an intelligent coach for a collaborative concept-mapping learning environment;Chua,2008

4. Web-based learning: Pros, cons and controversies, Clinical Medicine;Cook;Journal of the Royal College of Physicians of London,2007

5. Lifelike pedagogical agents and affective computing: An exploratory synthesis;Elliott;Lecture Notes in Computer Science,1999

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Emotional expression in mathematics e-learning using emojis: A gender-based analysis;Intelligent Decision Technologies;2024-06-07

2. Pre-made Empowering Artificial Intelligence and ChatGPT: The Growing Importance of Human AI-Experts;2023 14th International Conference on Information, Intelligence, Systems & Applications (IISA);2023-07-10

3. Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art;Intelligent Decision Technologies;2023-04-20

4. Chatbots as Motivational Agents;Trends, Applications, and Challenges of Chatbot Technology;2023-02-24

5. What Lies Beneath—A Survey of Affective Theory Use in Computational Models of Emotion;IEEE Transactions on Affective Computing;2022-10-01