Ritsumeikan University, Japan
Crowdsourcing, Gamification, Knowledge Refinement, Conversation Partner Agent.
Group Decision Making
Web Information Systems and Technologies
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.