期刊文献+

图形用户界面自动生成技术的现状与挑战 被引量:5

Opportunities and challenges:automatic generation technologies for graphical user interfaces
在线阅读 下载PDF
导出
摘要 随着大数据、人工智能等新兴技术的不断发展和应用,算法模型驱动的图形用户界面自动化和智能化趋势正以前所未有的速度改变着传统的依赖人工绘制的图形用户界面设计方式。用户界面自动生成不仅是解决人机交互设备多样化、功能复杂化、需求个性化等挑战的必然选择,也为人机协同的智能用户界面设计提供了新范式。为了进一步拓展开发人员和研究人员对图形用户界面自动生成前沿技术方法和应用案例的理解及应用,阐述了当前人机交互和人工智能交叉领域下的图形用户界面自动生成及智能评估相关技术的现状,分析了目前图形用户界面自动生成的技术路径、算法模型、设计方法以及评估框架,特别介绍了基于人工智能内容生成技术(AIGC)的图形用户界面自动生成技术进展及其对现有用户界面设计范式带来的新挑战,并总结了图形用户界面自动生成技术的发展趋势和机遇。 As emerging technologies like big data and artificial intelligence continue to evolve and find applications,a trend towards algorithm-driven automation and intelligent graphical user interface(GUI)design is rapidly transforming traditional manual methods.The need for automated GUI generation arises from the diversity of human-computer interaction devices,increasing functional complexity,and the demand for personalization.This approach not only addresses these challenges but also establishes a new paradigm in intelligent,collaborative human-computer interface design.To further expand developers’and researchers’understanding and application of cutting-edge technology methods and application cases in automatic GUI generation,this paper delved into the intersection of human-computer interaction and artificial intelligence,shedding light on the latest advancements in automated GUI generation and intelligent evaluation methods.The current technological approaches,algorithmic models,design methods,and evaluation frameworks for automatic GUI generation were analyzed.Advancements in GUI auto-generation technology based on artificial intelligence generated content(AIGC)were specifically highlighted,along with the new challenges posed to existing user interface design paradigms.Furthermore,the development trends and opportunities in the field of automatic GUI generation were summarized.
作者 厉向东 夏涵飞 单逸飞 阴凯琳 耿卫东 LI Xiangdong;XIA Hanfei;SHAN Yifei;YIN Kailin;GENG Weidong(College of Computer Science and Technology,Zhejiang University,Hangzhou Zhejiang 310000,China)
出处 《图学学报》 CSCD 北大核心 2024年第3期409-421,共13页 Journal of Graphics
基金 国家自然科学基金重点项目(61972346) 国家自然科学基金项目(92148205) 浙江省重点研发计划项目(2021C03128,2022C03103) 浙江省“尖兵”计划项目(2023C01045)。
关键词 人机交互 智能用户界面设计 图形用户界面自动生成 界面设计规范 界面评估方法 human-computer interaction intelligent user interface design automatic graphical user interface generation interface design standards interface evaluation methods
  • 相关文献

参考文献8

二级参考文献226

  • 1李法红,李树华,刘国杰,康宁,胡立辉.苹果树花叶的观赏活动对人体脑波的影响[J].西北林学院学报,2008,23(4):62-68. 被引量:29
  • 2黄柯棣,刘宝宏,黄健,曹星平,尹全军,郭刚,张琦,张传富,刘云生.作战仿真技术综述[J].系统仿真学报,2004,16(9):1887-1895. 被引量:107
  • 3胡凤培,韩建立,葛列众.眼部跟踪和可用性测试研究综述[J].人类工效学,2005,11(2):52-55. 被引量:32
  • 4赵沁平,怀进鹏,李波,沈旭昆.虚拟现实研究概况[J].计算机研究与发展,1996,33(7):493-500. 被引量:36
  • 5赵沁平,郝爱民,王莉莉,何兵.实时三维图形平台BH_GRAPH[J].计算机研究与发展,2006,43(9):1491-1497. 被引量:14
  • 6Tom caudell. AR at boeing (1990)[EB/OL]. http://www.ipo. tue. nl/homepages/mrauterb/presentations/HCI-history/tsld096. htm.
  • 7Boeing Inc. Augmented reality [EB/OL]. http://www. boeing.com/defense-space/aerospace/training/instruct/augmented.htm.
  • 8Azuma R. Survey of augmented reality[J]. Teleoperators and Virtual Environments, 1997, 6(4) :355-385.
  • 9Mierovision inc. Nomad augmented vision system [EB/OL].http://www. microvision. com/nomad/index. html.
  • 10Kato H, Billinghurst M, Poupyrev I, et al. Virtual object manipulation of a table-top AR environment[A]. In:Proceedings of International Symposium on Augmented Reality 2000 (ISAR 00) [C], Los Alamitos, CA, USA, 2000 : 111 - 119.

共引文献900

同被引文献35

引证文献5

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部