Shota Imamura

CEO of Nefront Inc. and 2nd year master's student at the Rekimoto Laboratory, University of Tokyo.

At Nefront Inc., we primarily work on an indoor AR cloud system called "IndooAR." This system locates indoor positions based on image recognition and serves as a platform for providing applications that offer guidance and information display.

At the Rekimoto Laboratory, University of Tokyo, my research focuses on Human-Computer Interaction (HCI). My research has included proposing systems that use Large Language Models (LLMs) and vector searches to provide information and support discussions based on conversation, as well as developing gaze-based interaction methods that allow for comfortable operation while browsing content.

Through my business and research, I aim to utilize AI and AR technologies to realize a world where the information you want is in front of you.

2024/4

Best Paper Honorable Mention at Augmented Humans 2024
Serendipity Wall: A Discussion Support System Using Real-time Speech Recognition and Large Language Model
Shota Imamura, Hirotaka Hiraki, and Jun Rekimoto.

2023/3

Dean's Award, School of Informatics, University of Tsukuba

Peer-Reviewed Full Papers at International Conferences

1. Shota Imamura, Hirotaka Hiraki, and Jun Rekimoto. 2024. Serendipity Wall: A Discussion Support System Using Real-time Speech Recognition and Large Language Model. In Proceedings of the Augmented Humans International Conference 2024 (AHs '24). Association for Computing Machinery, New York, NY, USA, 237–247. https://doi.org/10.1145/3652920.3652931  🥇 Best Paper Honorable Mention award

2. Shota Imamura, Lee Jieun, Jun Rekimoto, and Makoto Itoh. 2023. Advantage of Gaze-Only Content Browsing in VR using Cumulative Dwell Time Compared to Hand Controller. In Proceedings of the 2023 ACM Symposium on Spatial User Interaction (SUI '23). Association for Computing Machinery, New York, NY, USA, Article 1, 1–8. https://doi.org/10.1145/3607822.3614513

Peer-Reviewed Short Papers and Abstracts at International Conferences

1. Shota Imamura, Jieun Lee, and Makoto Itoh. 2023. Control prediction based on cumulative gaze dwell time while browsing contents. In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (ETRA '23). Association for Computing Machinery, New York, NY, USA, Article 91, 1–6. https://doi.org/10.1145/3588015.3589664

2. Shota Imamura, Hirotaka Hiraki, and Jun Rekimoto. 2024. Serendipity Wall: A Discussion Support System Using Real-time Speech Recognition and Large Language Model. 31st IEEE Conference on Virtual Reality and 3D User Interfaces (1st Workshop on Seamless Reality: AR Technologies for Seamless Perception and Cognition between Cyber and Physical Spaces). 3 pages.

Peer-Reviewed Papers at Japanese Conferences

1. Shota Imamura, Hirotaka Hiraki, and Jun Rekimoto. 2024. Serendipity Wall: 会話文字起こしのベクター検索と大規模言語モデルによる議論支援システム. 第28回 一般社団法人情報処理学会シンポジウム INTERACTION 2024. 10 pages.

Demo and Poster Presentations at Japanese Conferences

1. Shota Imamura, Hirotaka Hiraki, and Jun Rekimoto. 2023. Serendipity Wall: 会話文字起こしのベクター検索と大規模言語モデルによる議論支援システム. 第31回インタラクティブシステムとソフトウェアに関するワークショップ (WISS 2023 Demo/Poster). 3 pages.

2. Shota Imamura, Lee Jieun, and Makoto Itoh. 2022. コンテンツ閲覧のためのヘッドマウントディスプレイ向け視線操作インタフェースの試作. 第30回インタラクティブシステムとソフトウェアに関するワークショップ (WISS 2022 Demo/Poster). 3 pages.

Selected for the WINGS-CFS Program at the University of Tokyo Graduate School 

Selected for the Ministry of Internal Affairs and Communications' Startup Creation R&D Support Program, ICT Startup League, Support 1（as Nefront, Inc.)

 WIP...

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