About

Mao Saeki / 佐伯真於

I am a Ph.D. student in Computer Science at Waseda University, advised by Prof. Tetsunori Kobayashi. My interest lies in multimodal conversational AI, especially the understanding and generation of non-verbal cues. I am the lead developer of the InteLLA virtual agent, and a founding member of Equmenopolis Inc.

Projects

InteteLLA - Intelligent Language Learning Assistant

InteLLA automatically measures the conversational profiency of English learners through naturalistic conversation, enabled by gesture generation, turn-taking and proficiency assessment models. By adapting the conversational difficulty to each user though real time assessment, it is able to extract user's full potential, and give accurate assessment. InteLLA has previosly won the Bronze award at the QS-Wharton Reimagine Education Award 2021 in the Learning Assessment Category.

We are actively looking for collaboraters! Contact me if you are interested.

Experiences

  • Research Scientist, Equmenopolis Inc., 2022 - Present
  • Research Associate, Waseda University, Perceptual Computing Group, 2020 - Present
  • Research Assistant, National Institute of Advanced Industrial Science and Technology, 2018 - 2019
  • Development Intern, LPixel Inc., 2018 - 2019

Education

  • Ph.D. in Computer Science and Engineering, Waseda University, 2020 - Present (Advisor: Tetsunori Kobayashi)
  • M.E. in Computer Science and Engineering, Waseda University, 2020 (Advisor: Tetsunori Kobayashi)
  • B.E. in Mechanical Engineering, Waseda University, 2018

Awards

  • Best presentation, The Japanese Society for Artificial Intelligence, June, 2022
    (Mao Saeki, Ryuki Matsuura, Shungo Suzuki, Kotoka Miyagi, Tetsunori Kobayashi, Yoichi Matsuyama, InteLLA: A Speaking Proficiency Assessment Conversational Agent with Adaptive Interview Strategy, The Japanese Society for Artificial Intelligence (JSAI), SIG-SLUD, October 2021.)
  • Bronze Award, QS-Wharton Reimagine Education Award 2021, Learning Assessment Category, November, 2022
  • Young Researcher Award for Excellent Research, The Japanese Society for Artificial Intelligence SIG-SLUD (Special Interest Group of Speech, Language Understanding and Discourse Processing), October, 2021
    (Mao Saeki, Ryuki Matsuura, Shungo Suzuki, Kotoka Miyagi, Tetsunori Kobayashi, Yoichi Matsuyama, InteLLA: A Speaking Proficiency Assessment Conversational Agent with Adaptive Interview Strategy, The Japanese Society for Artificial Intelligence (JSAI), SIG-SLUD, October 2021.)

Publications

  • Mao Saeki, Ryuki Matsuura, Shungo Suzuki, Kotoka Miyagi, Tetsunori Kobayashi, Yoichi Matsuyama, InteLLA: A Speaking Proficiency Assessment Conversational Agent with Adaptive Interview Strategy, The Japanese Society for Artificial Intelligence (JSAI), SIG-SLUD, October 2021.
  • Mao Saeki, Weronika Demkow, Tetsunori Kobayashi, Yoichi Matsuyama, “A WoZ Study for an Incremental Proficiency Scoring Interview Agent Eliciting Ratable Samples“, Proc. The 12th International Workshop on Spoken Dialog System Technology (IWSDS 2021), Nove,ber. 2021
  • Mao Saeki, Yoichi Matsuyama, Satoshi Kobashikawa, Tetsuji Ogawa, Tetsunori Kobayashi “Analysis of Multimodal Features for Speaking Proficiency Scoring in An Interview Dialogue“, Proc. The 8th IEEE Spoken Language Technology Workshop (SLT 2021), pp.629-635, January. 2021. [pdf]

Contact

email: saeki@pcl.cs.waseda.ac.jp