| アイテムタイプ |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2025-10-09 |
| タイトル |
|
|
タイトル |
Do Interpersonal Skills Affect Human-AI Collaboration Performance? A Study with ChatGPT |
| 言語 |
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|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Human-AI collaboration |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Human-AI Interaction |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Large Language Model (LLM) |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Interpersonal skill |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Human Centered AI |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Human-AI communication |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Human-AI teaming |
| 資源タイプ |
|
|
資源タイプ |
conference paper |
| アクセス権 |
|
|
アクセス権 |
open access |
| 著者 |
Nishioka, Ryuki
若宮, 翔子
Shimizu, Nobuyuki
Fujita, Sumio
荒牧, 英治
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Collaboration between humans and artificial intelligence (AI) has demonstrated the potential to achieve performance surpassing that of AI alone. As AI becomes more integrated into society, human-AI collaboration is expected to emerge as a new form of teamwork. The recent advancements in large language models (LLMs) have accelerated research on human-LLM collaboration across various domains. While previous studies have focused on improving the performance of LLMs and methods for effective collaboration, little is known about how user-specific traits, such as interpersonal skills, influence collaboration outcomes with LLMs. This study addresses this gap by focusing on the role of interpersonal skills in human-AI interaction to deepen understanding of human-AI collaboration. The experimental results showed that participants with lower interpersonal skills were more likely to accept AI-generated responses, suggesting that they benefit more from AI. These findings suggest that interpersonal skills could influence how users critically assess with AI-generated content. |
| 書誌情報 |
ページ数 8,
発行日 2025-04-27
|
| 会議情報 |
|
|
|
会議名 |
AutomationXP25 |
|
|
開始年 |
2025 |
|
|
開始月 |
04 |
|
|
開始日 |
27 |
|
|
終了年 |
2025 |
|
|
終了月 |
04 |
|
|
終了日 |
27 |
|
|
開催期間 |
2025-04-27 - 2025-04-27 |
|
|
開催地 |
Yokohama, Japan |
|
開催国 |
JPN |
| 出版者 |
|
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出版者 |
ACM |
| 出版者版URI |
|
|
関連タイプ |
isReplacedBy |
|
|
識別子タイプ |
URI |
|
|
関連識別子 |
https://matthiasbaldauf.com/automationxp25/papers/AutomationXP25_CRC_4653.pdf |
| 権利 |
|
|
権利情報Resource |
https://creativecommons.org/licenses/by/4.0/ |
|
権利情報 |
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
| 著者版フラグ |
|
|
出版タイプ |
NA |
| 助成情報 |
|
|
|
助成機関名 |
National Center for Global Health and Medicine (NCGM) |
|
|
研究課題番号 |
JPJ012425 |
|
|
研究課題名 |
Cross-ministerial Strategic Innovation Promotion Program (SIP) on “Integrated Health Care System” |
| 助成情報 |
|
|
|
助成機関名 |
Japan Science and Technology Agency (JST) |
|
|
研究課題番号 |
JPMJCR22N1 |
|
|
研究課題番号URI |
https://projectdb.jst.go.jp/grant/JST-PROJECT-22717060/ |
|
|
研究課題名 |
リアルワールドテキスト処理の深化によるデータ駆動型探薬 |
| 助成情報 |
|
|
|
助成機関名 |
German Federal Ministry of Education and Research (BMBF) |
|
|
研究課題番号 |
16KISA006 |
|
|
研究課題名 |
project Medinym |
| 助成情報 |
|
|
|
助成機関名 |
German Federal Ministry of Education and Research (BMBF) |
|
|
研究課題番号 |
16KISA007 |
|
|
研究課題名 |
project Medinym |
| 助成情報 |
|
|
|
助成機関名 |
German Federal Ministry of Education and Research (BMBF) |
|
|
研究課題番号 |
BIFOLD24B |
