2026年2月27日、東京大学大学院 情報学環・学際情報学府の苗村研究室にて、オープンハウス2026が開催されました。
本研究室には、メルカリR4Dラボとの社会連携講座「価値交換工学」プロジェクトに携わるメンバーも多数所属しており、最新の研究成果の展示・発表が行われました。
今回のオープンハウスで発表された、価値交換工学に関連する主な研究テーマをご紹介します。
【価値交換工学 関連発表プロジェクト】
Hautasaari Ari (特任准教授)
・フリマアプリでの商品説明文の作成における人・AI協働
・ShareWel: Sharing and Reuse Platform for Well-Being
中條 麟太郎 (学際情報学府 博士1年)
・多言語・異文化間のC2C 取引コミュニケーションを仲介するLLM エージェントの設計と評価
欄木 達也 (情報理工学系研究科 修士2年)
・つぶやき操作指向LLMの提案と商品説明文作成での実践
木林 佑太 (情報理工学系研究科 修士2年)
・Butlerliezer: 対話者間の関係性に応じて適度にごまかすAI返信メッセージの提案と評価
当日は、多くの方にご来場いただき、終始来場者との会話が絶えない熱気に包まれた一日となりました。
苗村研究室 オープンハウス 2026
https://nae-lab.org/open/2026/
詳しく知りたい方へ：関連リンク
本記事で興味を持たれた方は、ぜひ以下の「関連プロジェクト」も併せてご覧ください。
フリマアプリで出品者とAIが協働で作成した商品説明文が 購入者の商品選好に与える影響の基礎検討
多言語・異文化間のC2C取引コミュニケーションを仲介するLLMエージェントの設計と評価
「つぶやき操作指向LLM」の商品説明文編集における評価
会話相手に応じて適度にごまかすAI返信システム 「Butlerliezer」の改良と評価
Naemura Lab Open House 2026
Showcasing the Latest Research on Value Exchange Engineering
On February 27, 2026, the Naemura Laboratory at the Interfaculty Initiative in Information Studies / Graduate School of Interdisciplinary Information Studies, The University of Tokyo, hosted Naemura Lab Open House 2026.
The event presented the laboratory’s latest research activities and projects to visitors. Several members of the lab are also involved in the “Value Exchange Engineering” project, a collaborative research initiative with Mercari R4D Lab, which explores new forms of value exchange in digital marketplaces and online communities.
During the open house, researchers introduced their ongoing work through presentations, posters, and discussions with visitors.
Featured Research Projects Related to Value Exchange Engineering
Ari Hautasaari (Project Associate Professor)
- Human–AI Collaboration in Writing Product Descriptions for Flea Market Apps
Research on how humans and AI can collaboratively generate effective product descriptions in online flea market platforms. - ShareWel: Sharing and Reuse Platform for Well-Being
A platform that promotes sustainable sharing and reuse practices to support individual and social well-being.
Rintaro Chujo(PhD Student, Graduate School of Interdisciplinary Information Studies)
- Design and Evaluation of an LLM Agent that Mediates C2C Transaction Communication Across Languages and Cultures
This research explores how large language model (LLM) agents can facilitate communication between users in cross-lingual and cross-cultural consumer-to-consumer (C2C) transactions.
Tatsuya Maseki(Master’s Student, Graduate School of Information Science and Technology)
- Proposal of a “Murmur-Operated LLM” LLM and Its Application to Product Description Writing
A novel LLM approach that leverages short informal expressions (“murmurs”) to assist users in generating effective product descriptions.
Yuta Kibayashi(Master’s Student, Graduate School of Information Science and Technology)
- Butlerliezer: AI Reply Messages that Adapt to Interpersonal Relationships
This study proposes and evaluates an AI system that generates responses which appropriately “soften” or obscure expressions depending on the relationship between conversation partners.
The open house attracted many visitors, and the venue remained lively throughout the day with continuous discussions and exchanges between researchers and guests.
Naemura Lab Open House 2026
https://nae-lab.org/open/2026/
For Those Interested in Learning More
If this article sparked your interest, please also take a look at the related projects listed below.
Human–AI Collaboration in Writing Product Descriptions for Flea Market Apps
Design and Evaluation of an LLM Agent that Mediates C2C Transaction Communication Across Languages and Cultures
Proposal of a “Murmur-Operated LLM” LLM and Its Application to Product Description Writing
Butlerliezer: AI Reply Messages that Adapt to Interpersonal Relationships