The paper “Exploring Human-AI Collaboration in Creating Product Descriptions for Flea Market Apps” has received the Human Communication Award (HC Award) from the Institute of Electronics, Information and Communication Engineers (IEICE). The paper was a joint effort by R4D researcher Miyuki Fujiwara, Rintaro Chujo (first year PhD student at the University of Tokyo Interfaculty Initiative in Information Studies), and Associate Professor Ari Hautasaari (University of Tokyo Graduate School of Interdisciplinary Information Studies).
The Human Communication Award is the most prestigious award granted by the Human Communication Group (HCG). It recognizes the most outstanding papers selected from numerous research groups and recommended papers across MVE Research Group and HCG. This paper also received the Media Experience and Virtual Environment (MVE) Award at the Technical Group on Media Experience and Virtual Environment sponsored by IEICE in January 2025.
The award ceremony is scheduled to take place at the IEICE HCG’s HCG Symposium 2025 from Wednesday, December 10, to Friday, December 12, 2025.
Award information
- Name of award
- Institute of Electronics, Information and Communication Engineers Human Communication Group HCG Symposium 2025 Human Communication Award
- Award recipients
- Miyuki Fujiwara (Mercari R4D Lab)
- Rintaro Chujo (The University of Tokyo Interfaculty Initiative in Information Studies)
- Ari Hautasaari (The University of Tokyo Graduate School of Interdisciplinary Information Studies)
- Paper title
- Exploring Human-AI Collaboration in Creating Product Descriptions for Flea Market Apps
- Overview
- We experimentally compared interaction between humans and AI when generating item descriptions on flea market apps by having sellers adjust AI-generated drafts—adding, rephrasing, or deleting points that need adjustment, such as justification for the price, description of the item’s condition, and tone. The research demonstrated both a higher sense of satisfaction and ownership regarding the description and price and a lower burden for creating them compared to when creation is entirely automated or entirely manual.
- Details
Mercari R4D webpage on the Value Exchange Engineering project: https://r4d.mercari.com/en/vxe/