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IWannaPlay - an eye-tracking based AI tutoring chinese chess system: poster abstract

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Published:16 November 2020Publication History

ABSTRACT

In this poster, we present IWannaPlay, an eye-tracking based Artificial Intelligence (AI) tutoring Chinese chess system. Through ordinary webcams, the IWannaPlay system captures the player's sight and facial expressions to acquire his/her gaze points and emotional status. Combining this information with the game situation, the system intelligently provides AI suggestions with visualizations. With the guidance of the AI, the player can strategize more thoroughly and thus make better decisions, achieving a better training outcome. When playing Chinese chess on IWannaPlay, the system interface displays a real-time game analysis and warns against potentially dangerous pieces within the game. Upon detection of the user's anxiety or after a period of long contemplation, the system intelligently provides graphic visualizations of dynamic multi-step strategies to assist the user in making decisions. We conducted experiments to verify the usability of our system, the user feedback demonstrated that IWannaPlay does provide effective guidance to players.

References

  1. Chen, B. N., Chen, J. Y., Chen, J. C., Hsu, T. S., Liu, P., Hsu, S. C. (2009). An Intelligent tutoring system of Chinese chess. In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems. 350--359.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Cowie, R., Douglas-Cowie, E., Tsapatsoulis N., Votsis G., Kollias S., Fellenz W., Taylor J. G. (2001). Emotion recognition in human-computer interaction. IEEE Signal processing magazine. 18(1), 32--80.Google ScholarGoogle ScholarCross RefCross Ref
  3. Elephant eye. https://github.com/xqbase/eleeye.Google ScholarGoogle Scholar
  4. Face++ emtion recognition api. https://www.faceplusplus.com/emotion-recognition/.Google ScholarGoogle Scholar
  5. Face++ gaze recognition api. https://www.faceplusplus.com/gaze-estimation/.Google ScholarGoogle Scholar
  6. Huang, M. X., Kwok, T. C., Ngai, G., Chan, S. C., & Leong, H. V. (2016). Building a personalized, auto-calibrating eye tracker from user interactions. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 5169--5179.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Leventhal, Dennis, A. (1978). The Chess of China. Taipei, Taiwan: Mei Ya Publications.Google ScholarGoogle Scholar
  8. Rosch, J. L., Vogel-Walcutt, J. J. (2013). A review of eye-tracking applications as tools for training. Cognition, technology & work, 15(3), 313--327.Google ScholarGoogle Scholar
  9. Sadikov, A., Možina, M., Guid, M., Krivec, J., Bratko, I. (2006). Automated chess tutor. In International Conference on Computers and Games, 13--25.Google ScholarGoogle Scholar
  10. TianTianXiangQi. https://xiangqi.qq.com/.Google ScholarGoogle Scholar

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              cover image ACM Conferences
              SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
              November 2020
              852 pages
              ISBN:9781450375900
              DOI:10.1145/3384419

              Copyright © 2020 ACM

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              Publication History

              • Published: 16 November 2020

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