发表机构
Florida International University; University of Arizona; University of Cincinnati; University of Texas at Dallas（佛罗里达国际大学; 亚利桑那大学; 辛辛那提大学; 德克萨斯大学达拉斯分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过范围分析，梳理HCI领域2016-2026年间52篇文献，提出AIMIC设计分类，涵盖AI集成方式、交互设计、结果与挑战，为未来研究提供框架。
AI 中文摘要
人际沟通是日常生活的基本方面，塑造着工作场所、教育、娱乐、医疗保健及其他领域的互动。尽管计算机中介沟通已被广泛研究，但对AI中介人际沟通（AIMIC）的全面理解仍然缺乏。迫切需要深入的范围分析来理解HCI中AIMIC的研究格局，尤其是在大型基础模型和AI智能体研究最近增长之后。我们进行了一项范围分析，通过深入回顾过去十年（2016年1月至2026年5月）发表的HCI文献来理解AIMIC。基于系统评价和荟萃分析的首选报告项目（PRISMA）方法，我们从涵盖一系列人际沟通情境的HCI文献中筛选出52篇全文出版物。我们通过考察所研究的AIMIC类型、AI集成方法和人机交互设计、报告的结果和益处，以及关键挑战和未来研究机会来分析这一语料库。
英文摘要
Interpersonal communication is a fundamental aspect of everyday life, shaping interactions across workplaces, education, entertainment, healthcare, and beyond. While computer-mediated communication has been extensively studied, a comprehensive understanding of AI-Mediated Interpersonal Communication (AIMIC) remains lacking. An in-depth scoping analysis is urgently needed to understand the research landscape of AIMIC in HCI, particularly following the recent growth of large foundation models, and AI agent research. We conducted a scoping analysis to understand AIMIC by performing an in-depth review of prior HCI literature published over the past decade (January, 2016 - May, 2026). Grounded in the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) approach, we curated 52 full-paper publications from the HCI literature spanning a range of interpersonal communication contexts. We analyzed this corpus by examining the types of AIMIC studied, AI integration approaches and human-AI interaction design, reported outcomes and benefits, and key challenges and future research opportunities.
Comments22 pages, 8 figures, 4 tables
