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Revealing Secrets to AI: Analyzing Self-Disclosure in Interactions with AI and Humans
https://ipsj.ixsq.nii.ac.jp/records/240546
https://ipsj.ixsq.nii.ac.jp/records/2405469efafcb1-eacf-4db6-a265-8a4889befb05
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-HCI24210005.pdf (1.8 MB)
2026年11月11日からダウンロード可能です。
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Copyright (c) 2024 by the Information Processing Society of Japan
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| 非会員：¥660, IPSJ:学会員：¥330, HCI:会員：¥0, DLIB:会員：¥0 | ||
| Item type | SIG Technical Reports(1) | |||||||||
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| 公開日 | 2024-11-11 | |||||||||
| タイトル | ||||||||||
| タイトル | Revealing Secrets to AI: Analyzing Self-Disclosure in Interactions with AI and Humans | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | Revealing Secrets to AI: Analyzing Self-Disclosure in Interactions with AI and Humans | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | AI | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||||
| 資源タイプ | technical report | |||||||||
| 著者所属 | ||||||||||
| Kyushu University, Graduate school of design | ||||||||||
| 著者所属 | ||||||||||
| Kyushu University, Faculty of design | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Kyushu University, Graduate school of design | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Kyushu University, Faculty of design | ||||||||||
| 著者名 |
Liu, Yuqi
× Liu, Yuqi
× Satoru, Tokuhisa
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| 著者名(英) |
Liu, Yuqi
× Liu, Yuqi
× Satoru, Tokuhisa
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | This study explores the factors that influence self-disclosure in interactions with AI compared to non-expert humans in public settings. While previous research has largely focused on comparing AI with experts, there is limited knowledge on how AI interactions differ from those with non-experts. To address this gap, an experiment was conducted with 24 participants, who were divided into two groups: one interacting with a non-expert human and the other with a ChatGPT-4o model. A qualitative analysis of self-disclosure behaviors identified nine key challenges and differences, shedding light on the potential role of AI in public mental health environments. The findings offered a deeper understanding of the challenges and opportunities associated with using AI for social support in public contexts, particularly in terms of the emotional comfort experienced during AI versus human interactions. | |||||||||
| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | This study explores the factors that influence self-disclosure in interactions with AI compared to non-expert humans in public settings. While previous research has largely focused on comparing AI with experts, there is limited knowledge on how AI interactions differ from those with non-experts. To address this gap, an experiment was conducted with 24 participants, who were divided into two groups: one interacting with a non-expert human and the other with a ChatGPT-4o model. A qualitative analysis of self-disclosure behaviors identified nine key challenges and differences, shedding light on the potential role of AI in public mental health environments. The findings offered a deeper understanding of the challenges and opportunities associated with using AI for social support in public contexts, particularly in terms of the emotional comfort experienced during AI versus human interactions. | |||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AA1221543X | |||||||||
| 書誌情報 |
研究報告ヒューマンコンピュータインタラクション（HCI） 巻 2024-HCI-210, 号 5, p. 1-8, 発行日 2024-11-11 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 2188-8760 | |||||||||
| Notice | ||||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||||
| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
