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.

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