This article analyzes the paradigm shift in human–computer interaction (HCI) from device-centered manipulation to collaborative interaction with AI agents. Early HCI focused on physical control and efficiency through keyboards, mice, and graphical user interfaces, whereas contemporary systems increasingly interpret user intent and context to provide proactive, agent-centered interaction accelerated by the convergence of ubiquitous computing, mixed-initiative interaction, context-aware technologies, and modern AI. As AI becomes embedded within interfaces, interaction patterns have been extended from tool-centered human–AI integration, in which AI proposes results and users make selections, to collaborative human–AI agent interaction (HAI), in which agents share planning, tool use, and action execution with humans along a continuous trajectory. In spatially embodied interaction environments, such as augmented reality, virtual reality, and robotics, the role of AI agents is rapidly shifting from tools to teammates, and the design focus is moving from “How well does the system perform the task?” to “How well does the agent understand and work with the user?” in empathy-driven interactions. In this context, future HAI research should be grounded in a deep understanding of human–human interaction and extend toward interaction designs and technological developments that realize coworker AI agents capable of mutual trust and collaboration.
Keyword
HCI, AI 에이전트, 상호작용
KSP Keywords
AI Agent, Action execution, Agent interaction, Augmented reality(AR), Collaborative Interaction, Computer interaction, Embodied interaction, Human interaction, Mixed-initiative interaction, Paradigm Shift, Physical control
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