个性化 AI 回复建议对内容创作者私信互动的影响研究
The Impact of Personalized AI Response Suggestions on Content Creators' Direct Messaging
AI 导读
一项面向内容创作者私信场景的研究，通过 15 位创作者的形成性访谈设计了按创作者写作风格生成个性化回复建议的 AI 系统，并与 13 位创作者进行对比实验。结果显示，系统能软化潜在不礼貌表达、提升回复率并维护专业形象，但创作者需额外核对 AI 输出真实性以降低失当风险；AI 建议在提升效率的同时，也因注意力转向监控 AI 而削弱了创作者在沟通中的参与度。
正文 · 原文
Abstract:Direct messaging is often employed by social media content creators to directly interact with followers. Those creators attempt to engage with followers in private communication, but they often encounter a large volume of messages. Through formative interviews with 15 creators, we found that creators frequently experience fatigue from writing suitable content, as they moderate audience expectations while concurrently integrating their media personas into responses. To explore how AI can address these challenges, we designed a system providing personalized, AI-generated response suggestions tailored to creators' writing styles to maintain their media personas. In a comparison study with 13 creators that examines how the system affects response behaviors, creators valued the system's ability to soften potential impoliteness and anticipated higher response rates, helping them maintain a professional image. However, creators reported additional labor in verifying the authenticity of AI outputs to mitigate risks caused by AI misalignment. Our results indicate that while AI suggestions enhance efficiency, they can undermine a creator's engagement in communication by shifting their attention toward monitoring AI.
| Comments: | Group 2027 |
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.34770 [cs.HC] |
| (or arXiv:2610.34770v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.34770 arXiv-issued DOI via DataCite (pending registration) |
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| Related DOI: | https://doi.org/10.1145/3859434
DOI(s) linking to related resources |
Submission history
From: Eun Jeong Kang [view email]
[v1]
Mon, 26 Oct 2026 03:15:20 UTC (3,100 KB)
来源：arXiv cs.AI · arxiv.org