Generative Artificial Intelligence-Guided User Studies: An Application for Air Taxi Services

• Material Type: 文書・図像類
• Title: Generative Artificial Intelligence-Guided User Studies: An Application for Air Taxi Services
• Author/Editor: Shengdi Xiao; Jingjing Li; Tatsuki Fushimi; Yoichi Ochiai
• Author Heading: Shengdi Xiao; Jingjing Li; Tatsuki Fushimi; Yoichi Ochiai
• Publication Date: 2024-06-19
• Publication Date (W3CDTF): 2024-06-19
• Pages: 1-40
• Text Language Code: eng
• Subject Heading: Generative AI, Large Language Model (LLM), User Studies, Virtual Experimental Scenarios, User Experience (UX), Air Taxi
• Target Audience: 一般
• Note (General): 出版タイプ： NA; This work was supported by the Support for Pioneering Research Initiated by the Next Generation (SPRING) under Grant number JPMJSP2124.
• Format (IMT): application/pdf
• Source: fulltext; https://tsukuba.repo.nii.ac.jp/record/2013976/files/2406.12296v1.pdf
• Access Restrictions: インターネット公開
• Rights (production): Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International; https://creativecommons.org/licenses/by-nc-nd/4.0/
• Related Material (DOI): 10.48550/arXiv.2406.12296; https://doi.org/10.48550/arXiv.2406.12296
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 筑波大学 : つくばリポジトリ

• Summary, etc.: User studies are crucial for meeting user needs. In user studies, real experimental scenarios and participants are constructed and recruited. However,...