日本語
Hiroshima City University 
Graduate School of Information Sciences 
Dept. of Intelligent Systems 

Assistant Professor 
Mera Kazuya 

 
My website is here.  

Academic background
Kyushu Institute of Technology  Faculty of Computer Science and Systems Engineering  知能情報工学  1994 
Kyushu Institute of Technology  Graduate School, Division of Information Engineering  情報科学  Doctor prophase  1996 
Tokyo Metropolitan Institute of Technology  Graduate School, Division of Engineering  インテリジェントシステム専攻  Doctor course  2003  Completed 

Research Areas
Sensitivity Informatics/Soft Computing 
Human interface and interaction 
Intelligent Informatics 

Research keywords
感情情報処理 
Affective Computing 
情緒 
Emotion 
情緒計算手法 
Emotion Generating Calculation method (EGC) 
自然言語対話 
natural language dialog 
好感度 
personal preference information 
音響分析 

Subject of research
Emotion Generating Calculations method from event  1998/01/01-Present 
Knowledge Acquirement by Dialog  2001/01/01-Present 
Natural language dialog considering speaker's emotion  2004/01/01-Present 
Emotion estimation from acoustic features of utterance  2012/01/01-Present 

Bibliography
実践Linux-サーバ管理編-  市村匠, 目良和也, 大枝真一  セレンディップ/小学館  2003 
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Papers
Research paper (other science council materials etc.)  Joint  Natural Language Dialog System Considering Speaker's Emotion Calculated from Acoustic Features  Takumi Takahashi, Kazuya Mera, Nhat Tang Ba, Yoshiaki Kurosawa, and Toshiyuki Takezawa  Dialogues with Social Robots  Springer Singapore  145-157  2017/01  10.1007/978-981-10-2585-3_11  With the development of Interactive Voice Response (IVR) systems , people can not only operate computer systems through task-oriented conversation but also enjoy non-task-oriented conversation with the computer. When an IVR system generates a response, it usually refers to just verbal information of the user’s utterance. However, when a person gloomily says “I’m fine,” people will respond not by saying “That’s wonderful” but “Really?” or “Are you OK?” because we can consider both verbal and non-verbal information such as tone of voice, facial expressions, gestures, and so on. In this article, we propose an intelligent IVR system that considers not only verbal but also non-verbal information. To estimate a speaker’s emotion (positive, negative, or neutral), 384 acoustic features extracted from the speaker’s utterance are utilized to machine learning (SVM). Artificial Intelligence Markup Language (AIML)-based response generating rules are expanded to be able to consider the speaker’s emotion. As a result of the experiment, subjects felt that the proposed dialog system was more likable, enjoyable, and did not give machine-like reactions. 
Research paper (scientific journal)  Joint  Emotion-oriented agent in mental state transition learning network  Takumi Ichimura  International Jour-nal of Computa-tional Intelligence Studies  2/ 1, 26-51  2013/06 
Research paper (other science council materials etc.)  Joint  Psychomime Classification and Visualization Us-ing a Self-Organizing Map for Imple-menting Emo-tional Spoken Di-alogue System  Yoshiaki Kurosawa, Kazuya Mera, and Toshiyuki Takezawa  Spoken Dialogue Systems Technology and Design  107-134  2010/12 
Research paper (other science council materials etc.)  Joint  Emotion-oriented human-computer interaction  Toshiyuki Yamashita, Ahmad Eibo, Takumi Ichimura  Emotional Engineering  207-222  2010/11 
Research paper (other science council materials etc.)  Joint  A Knowledge Acquisition Method of Judgment Rules for Spam E-mail by using Self Organizing Map and Automatically Defined Groups by Genetic Programming  Takumi Ichimura, Akira Hara  Self-Organizing Maps  397-410  2010/04  978-953-307-074-2 
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Research presentations
Poster presentation  演技感情と推定感情のタグを付与した感情音声コーパスの構築  日本音響学会2017年春季研究発表会  2017/03 
Oral presentation(general)  トピック情報を考慮した用例ベース対話システム  言語処理学会第23回年次大会  2017/03 
Oral presentation(general)  ユーザ感情を考慮した返答発話生成ルールの自動生成手法  言語処理学会第23回年次大会  2017/03 
Poster presentation  対話を通じて話者の嗜好情報を学習する音声対話システム  言語処理学会第23回年次大会  2017/03 
Poster presentation  Natural language dialog system considering speaker's emotion for open-ended conversation  The 5th Joint Meeting of the Acoustical Society of America and Acoustical Society of Japan  2016/11 
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Prizes
Incentive Paper Award  Interactive mobile communication system with facial expression extracting emotion  2008 
奨励賞  対話の知識構造からの嗜好情報学習手法  2001 
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Allotted class
基礎演習 
情報基礎 
情報科学基礎実験B 
情報演習 
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Memberships of academic societies
人工知能学会 
言語処理学会 
情報処理学会  -2016 
日本音響学会  2016/11-Present 
日本知能情報ファジィ学会  2015/02-Present 
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Open lecture
話し声からの発話者の感情推定手法  Others  2015/11-Present 
人間の言葉を理解するコンピュータ  Others  2015/08-Present 
知能工学実験  Others  2015/08-Present 
音声情報を用いた感情分析とその応用  Others  2014/09-Present 
人間の言葉を理解するコンピュータ  Others  2014/08-Present 
人間の言葉を理解するコンピュータ  Others  2013/08-Present 
音声情報を用いた感情分析とその応用  Others  2012/11-Present 
音声情報を用いた感情分析とその応用  Others  2012/09-Present 
進路指導(高校)教員対象大学説明会  Others  2012/05-Present 
外国人生活者からの119 番通報受付支援技術の検討とシステム試作  Others  2011/10-Present 
情報弱者のためのコミュニケーション支援技術  Others  2011/09-Present 
人間の言葉を理解するコンピュータ  Others  2011/08-Present 
情報弱者のためのコミュニケーション支援技術  Others  2011/01-Present 
観光情報検索技術と音声翻訳サービス  Others  2009/09-2009/09 
感情情報処理に基づく音声対話システム  Others  2009/09-2009/09 
人間の言葉を理解するコンピュータ  Others  2009/08-2009/08 
高校生のための自由研究  Open lecture  2008/08-Present 
高校生のための自由研究  Open lecture  2007/08-Present 
感情指向型インタラクションシステム 〜メールの内容に応じた顔画像生成〜  Others  2004/11-2004/11 
広島市立大学公開講座 -Linuxによるサーバ構築・管理-  Public lecture  2004/10-2004 
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