A new human-computer interaction paradigm: Agent interaction model based on large models and its prospects

Q1 Computer Science
Yang LIU
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引用次数: 0

Abstract

This study examines the advent of agent interaction (AIx) as a transformative paradigm in human-computer interaction (HCI), signifying a notable evolution beyond traditional graphical interfaces and touchscreen interactions. Within the context of large models, AIx is characterized by its innovative interaction patterns and a plethora of application scenarios that hold great potential. The paper highlights the pivotal role of AIx in shaping the future landscape of the large model industry, emphasizing its adoption and necessity from a user's perspective. This study underscores the pivotal role of AIx in dictating the future trajectory of a large model industry by emphasizing the importance of its adoption and necessity from a user-centric perspective. The fundamental drivers of AIx include the introduction of novel capabilities, replication of capabilities (both anthropomorphic and superhuman), migration of capabilities, aggregation of intelligence, and multiplication of capabilities. These elements are essential for propelling innovation, expanding the frontiers of capability, and realizing the exponential superposition of capabilities, thereby mitigating labor redundancy and addressing a spectrum of human needs. Furthermore, this study provides an in-depth analysis of the structural components and operational mechanisms of agents supported by large models. Such advancements significantly enhance the capacity of agents to tackle complex problems and provide intelligent services, thereby facilitating a more intuitive, adaptive, and personalized engagement between humans and machines. The study further delineates four principal categories of interaction patterns that encompass eight distinct modalities of interaction, corresponding to twenty-one specific scenarios, including applications in smart home systems, health assistance, and elderly care. This emphasizes the significance of this new paradigm in advancing HCI, fostering technological advancements, and redefining user experiences. However, it also acknowledges the challenges and ethical considerations that accompany this paradigm shift, recognizing the need for a balanced approach to harness the full potential of AIx in modern society.
一种新的人机交互范式:基于大模型的Agent交互模型及其展望
本研究探讨了agent交互(AIx)作为人机交互(HCI)的变革范例的出现,标志着超越传统图形界面和触摸屏交互的显著进化。在大型模型的上下文中,AIx的特点是其创新的交互模式和大量具有巨大潜力的应用程序场景。本文强调了AIx在塑造大型模型行业未来格局中的关键作用,从用户的角度强调了它的采用和必要性。这项研究强调了AIx在决定大型模型行业未来发展轨迹方面的关键作用,从用户为中心的角度强调了采用AIx的重要性和必要性。AIx的基本驱动因素包括新功能的引入、功能的复制(拟人的和超人的)、功能的迁移、智能的聚合和功能的倍增。这些要素对于推动创新、扩展能力的前沿和实现能力的指数叠加至关重要,从而减轻劳动力冗余并解决一系列人类需求。此外,本研究还深入分析了大型模型支持下智能体的结构组成和运行机制。这些进步显著提高了智能体解决复杂问题和提供智能服务的能力,从而促进了人与机器之间更直观、更自适应、更个性化的接触。该研究进一步描述了交互模式的四个主要类别,涵盖了八种不同的交互模式,对应于21种具体场景,包括智能家居系统、健康援助和老年人护理的应用。这强调了这种新模式在推进HCI、促进技术进步和重新定义用户体验方面的重要性。然而,它也承认伴随着这种范式转变的挑战和伦理考虑,认识到需要一种平衡的方法来充分利用AIx在现代社会中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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