arXiv cs.CY· Emily Tseng, Patrick Gage Kelley, Renee Shelby, Ashley M. Walker·· 11 小时前AI 评分31
关系能力框架：理解 AI 中介人际关系的研究视角
The Relational Capacity Framework: A Lens for AI-Mediated Relationality
AI 导读
一项 100 人研究考察了人们如何将通用 AI 聊天机器人用于社会情感需求，用途从练习具体社交技能到在社交场景中获取额外精力与信息，差异显著。研究据此提出 8 种状态，描述 AI 如何在技能、精力与信息水平不同的人群中扩展或收缩其关系能力，并给出统一概念模型 Relational Capacity Framework。
正文 · 原文
Abstract:A growing literature examines the impact of engaging with AI chatbots on our relationality: our ability to form relationships with others, maintain them through life's changes, and exit when needed. Currently, substantial work focuses on purpose-built AI companions (e.g. Replika, this http URL), with less work investigating socioemotional uses of the more widely-used general-purpose chatbots. In this paper, we present a 100-person investigation into how people engage general-purpose AI for socioemotional needs. Participants' AI uses varied, from practicing specific social skills to seeking additional bandwidth and information as they navigated their social contexts. To explain this heterogeneity, we provide 8 states that describe how AI expands or contracts relationality for people with different levels of skills, bandwidth, and information. We then present a unified conceptual model for the role of technology in mediating human relationality, the Relational Capacity Framework, and outline future research designing appropriate roles for AI in human connection.
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Computers and Society (cs.CY) |
| Cite as: | arXiv:2611.08877 [cs.HC] |
| (or arXiv:2611.08877v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2611.08877 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Emily Tseng [view email]
[v1]
Fri, 6 Nov 2026 02:06:04 UTC (605 KB)
来源：arXiv cs.CY · arxiv.org