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面向生成式人工智能应用的意图驱动的界面交互范式探索

Intent-driven Interface Interaction Paradigm under Generative Artificial Intelligence Technology

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【作者】 刘玉磊马艳阳

【Author】 LIU Yulei;MA Yanyang;Sichuan Normal University;Sichuan Agricultural University;

【通讯作者】 马艳阳;

【机构】 四川师范大学四川农业大学

【摘要】 目的 对生成式人工智能技术赋能下的界面交互范式进行梳理和探析。方法 以典型的界面范式为切入,包括WIMP范式、Non-WIMP范式、Post-WIMP范式等,分析各类型界面范式的发展、特点和局限,再以生成式人工智能技术带来的交互新特点为基础,探讨生成式人工智能技术对界面交互范式转换问题产生的推动、影响和变革。结果 提出了一种面向生成式人工智能应用的、意图驱动的IDIM范式,包含意图域、对话流、互动启示、多模态交互几个要素。结论 生成式人工智能技术以其强大的生成能力和智能化特性,为交互领域带来了空前的机遇和挑战,不仅为界面交互范式带来了变革,也促使交互设计向更智能、更个性化的多元交互模式转变。IDIM范式提供了一种新的界面交互范式参考,对完善交互理论、推动生成式人工智能的应用发展具有积极作用。

【Abstract】 The work aims to sort out and analyze the interface interaction paradigm empowered by generative artificial intelligence technology. Starting from typical interface paradigms, including WIMP paradigm, Non-WIMP paradigm,Post-WIMP paradigm, etc., the development, characteristics and limitations of various types of interface paradigms were analyzed, and then based on the new interactive characteristics brought by generative artificial intelligence technology, the promotion, impact and changes of generative artificial intelligence technology on the paradigm shift of interface interaction were explored. One kind of intent-driven IDIM paradigm for generative artificial intelligence applications was proposed, which included several elements: Intent Domain, Dialogue Flow, Interactive Inspiration, and Multimodal Interaction. Generative artificial intelligence technology, with its powerful generation ability and intelligent characteristics, has brought unprecedented opportunities and challenges to the field of interaction. It has not only brought changes to the interface interaction paradigm, but also promoted the transformation of interaction design to a more intelligent and personalized multi-interaction mode. The IDIM paradigm provides a new interface interaction paradigm reference, which plays a positive role in improving interaction theory and promoting the application development of generative artificial intelligence.

【基金】 教育部人文社科青年基金项目(23YJC760078);四川省高校哲学社会科学重点研究基地工业设计产业研究中心课题(GYSJ2022-03);四川师范大学校级实验设备科研项目(SYJS2021027);四川师范大学校级自然科学类科研基金项目(xj2022122413)
  • 【文献出处】 包装工程 ,Packaging Engineering , 编辑部邮箱 ,2024年04期
  • 【分类号】TP18;TP391.41
  • 【被引频次】1
  • 【下载频次】538
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