All Rights Reserved No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work.

The purpose of this study is to propose an emotion generation model that consists of pseudo-personality and pseudo-moods. Agents implementing this model have various personalities for each user. In order to verify its usefulness, we implemented the model on an agent called "Tell Tell" and performed an experimental performance evaluation using a web application. In addition, we tried to performed an experiment to identify the nurtured agents. From the experimental results of performance evaluations, it was found that the agent of the proposed method had a positive difference in impression between "enthusiasm-lose interest" and "human-likemechanical". However, in the items of getting tired and fun, there was a significant decrease in subjects with many interactions. From the experimental results of the nurtured agents, it showed that the proposed agent had a higher discrimination rate than the agent with personality only. Therefore, we analyzed the interaction of each subject, the agent of the user who was able to discriminate had little change in personality, and the user who couldn't discriminate had changed personality many times. In the future, it is necessary to improve the impression of getting tired and increase the discrimination rate by implementing an algorithm that changes the facial expression depending on the intensity even for the same personality.