Toward Gamified Knowledge Contents Refinement - Case Study of a Conversation Partner Agent

Takayuki Iwamae, Kazuhiro Kuwabara, Hung-Hsuan Huang

2017

Abstract

Rich knowledge contents are necessary to develop an intelligent agent that interacts with people and supports their communication or their activities. In this paper, we choose a conversation partner agent for people with aphasia as an example and propose a method that interactively acquires and refines knowledge contents for the agent. The proposed method is invoked when a problem is found in the knowledge contents and utilizes the concept of gamified crowdsourcing. Gamified tasks verify the data input by a user. By utilizing a crowdsourcing approach, we strive for more accurate knowledge contents. The paper presents its game design and an example scenario.

References

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Paper Citation


in Harvard Style

Iwamae T., Kuwabara K. and Huang H. (2017). Toward Gamified Knowledge Contents Refinement - Case Study of a Conversation Partner Agent . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-219-6, pages 302-307. DOI: 10.5220/0006243103020307


in Bibtex Style

@conference{icaart17,
author={Takayuki Iwamae and Kazuhiro Kuwabara and Hung-Hsuan Huang},
title={Toward Gamified Knowledge Contents Refinement - Case Study of a Conversation Partner Agent},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2017},
pages={302-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006243103020307},
isbn={978-989-758-219-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Toward Gamified Knowledge Contents Refinement - Case Study of a Conversation Partner Agent
SN - 978-989-758-219-6
AU - Iwamae T.
AU - Kuwabara K.
AU - Huang H.
PY - 2017
SP - 302
EP - 307
DO - 10.5220/0006243103020307