Problem
Research questions and friction points this paper is trying to address.
AI-Mediated Interpersonal Communication
Human-Computer Interaction
Foundation Models
Understanding the Design Taxonomy of AI-Mediated Interpersonal Communication Experiences in HCI: A Scoping Analysis
🤖 AI Summary
本文通过回顾过去十年的人机交互文献，采用PRISMA方法分析了52篇论文，旨在全面理解AI介导的人际交流的设计分类、方法及挑战。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
AI-Mediated Interpersonal Communication
Scoping Analysis
Human-Computer Interaction
Foundation Models
Human-AI Interaction
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