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

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Guang LiAuthors Info & Claims

SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems

Pages 699 - 700

https://doi.org/10.1145/3384419.3430467

Published: 16 November 2020 Publication History

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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

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Yuan QChen KYang QPan ZXu JYao Z(2023)Exploring Intuitive Visuo-Tactile Interaction Design for Culture Education: A Chinese-Chess-Based Case StudyInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2223863(1-21)Online publication date: 25-Jun-2023
https://doi.org/10.1080/10447318.2023.2223863

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SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems

November 2020

852 pages

ISBN:9781450375900

DOI:10.1145/3384419

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Published: 16 November 2020

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Japan Science and Technology Agency (JST)

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SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems

November 16 - 19, 2020

Virtual Event, Japan

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Overall Acceptance Rate 198 of 990 submissions, 20%

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Yuan QChen KYang QPan ZXu JYao Z(2023)Exploring Intuitive Visuo-Tactile Interaction Design for Culture Education: A Chinese-Chess-Based Case StudyInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2223863(1-21)Online publication date: 25-Jun-2023
https://doi.org/10.1080/10447318.2023.2223863

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Winning strategies of (i, j) multimove games on Thai, Japanese, and Chinese chess games: Winning strategies of (i, j) multimove games $\dots$