Koji Yatani
Biographic Data
| ID | 7717412 |
|---|---|
| NAME | Koji Yatani |
| GIVEN NAMES | Koji |
| FAMILY NAME | Yatani |
| SIGNATURE | YATANI K |
| AFFILIATIONS | The University of Tokyo |
| ORCID | 0000-0003-4192-0420 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unraveling multiparty conversations
Multiparty conversations are ubiquitous and indispensable in diverse social and collaborative contexts. However, current conversational agents (CAs) face significant challenges in effectively engaging in such interactions, particularly within text-based environments. While earlier limitations were often attributed to the inadequacies of AI models, recent advances in large language models now compel us to revisit both our understanding of multipar…
‘Honestly, i could lose a few hours on PubMed quite easily’
Scientific literature is a primary source of validated information. Sometimes, however, the complicated field-specific language and terminology act as barriers to understanding the insights. This is also true for the societally significant medical field. With the recent rapid development of Large Language Models (LLMs), Artificial Intelligence (AI) can be useful in mitigating these issues. We implemented a browser extension (SimpliMed) to simplif…
Reflections on planning and running a virtual doctoral consortium at CHI 2020
column Reflections on planning and running a virtual doctoral consortium at CHI 2020 Share on Authors: Duncan Brumby University College London University College LondonView Profile , Koji Yatani University of Tokyo University of TokyoView Profile , Leah Findlater University of Washington University of WashingtonView Profile Authors Info & Claims InteractionsVolume 27Issue 4July - August 2020 pp 22–26https://doi.org/10.1145/3404201Online:09 July 2…
No prominent works on this page.
Reflections on planning and running a virtual doctoral consortium at CHI 2020
column Reflections on planning and running a virtual doctoral consortium at CHI 2020 Share on Authors: Duncan Brumby University College London University College LondonView Profile , Koji Yatani University of Tokyo University of TokyoView Profile , Leah Findlater University of Washington University of WashingtonView Profile Authors Info & Claims InteractionsVolume 27Issue 4July - August 2020 pp 22–26https://doi.org/10.1145/3404201Online:09 July 2…
Unraveling multiparty conversations
Multiparty conversations are ubiquitous and indispensable in diverse social and collaborative contexts. However, current conversational agents (CAs) face significant challenges in effectively engaging in such interactions, particularly within text-based environments. While earlier limitations were often attributed to the inadequacies of AI models, recent advances in large language models now compel us to revisit both our understanding of multipar…
‘Honestly, i could lose a few hours on PubMed quite easily’
Scientific literature is a primary source of validated information. Sometimes, however, the complicated field-specific language and terminology act as barriers to understanding the insights. This is also true for the societally significant medical field. With the recent rapid development of Large Language Models (LLMs), Artificial Intelligence (AI) can be useful in mitigating these issues. We implemented a browser extension (SimpliMed) to simplif…
Academic Publishing and Open Access (1 work) · Academic Writing and Publishing (1 work) · AI in Service Interactions (1 work) · Biomedical Text Mining and Ontologies (1 work) · Computer Science (1 work) · Conversation (1 work) · Extension (predicate logic) (1 work) · Medical education (1 work) · Medical journal (1 work) · Medical literature (1 work)