期刊文献+

基于意图识别的人-智能系统交互框架 被引量:2

A Human-Intelligence Interaction Framework Based on Intention Recognition
下载PDF
导出
摘要 人工智能的发展为人机交互带来了新的挑战,迫切需要为人与智能系统设计新型交互方式。本文分析了由智能系统发展带来的三方面问题,指出人与智能系统的新型交互应以趋近人类交互为目标。在梳理总结现有人类社会交互研究和理论的基础上,提出了基于意图识别的交互框架,并论证该框架提升交互效率和解决智能发展挑战的潜力。通过分析新型交互与传统交互之间的关系,为指向新型智能交互设计的理论研究提供了新的方向。 The development of artificial intelligence has brought a series of new challenges to Human-Computer Interaction(HCI).There is an urgent need to design new interaction methods between humans and intelligent systems.The present paper analyzes three key issues brought about by the development of intelligent systems to HCI,and points out that the new interaction between humans and intelligent systems should aim to be close to human-human interaction.Through summarizing the current research and theories on human social interaction,an interaction framework based on intention recognition is proposed.The framework has the potential to improve interaction efficiency and solve challenges brought by the development of intelligence.Finally,the current paper discusses the relationship between new and traditional interaction frameworks,and provides a new direction for theoretical research on new interaction design.
作者 徐昊骙 郑旭涛 赵阳 唐宁 周吉帆 沈模卫 XU Hao-kui;ZHENG Xu-tao;ZHAO Yang;TANG Ning;ZHOU Ji-fan;SHEN Mo-wei(Department of Psychology and Behavioral Sciences,Zhejiang University,Hangzhou 310028,China)
出处 《应用心理学》 CSSCI 2024年第1期3-10,共8页 Chinese Journal of Applied Psychology
基金 浙江省哲学社会科学规划课题(24NDQN067YB) 国家自然科学基金面上项目(32071044,32371088) 中国博士后科学基金资助项目(2021M702870)。
关键词 人机交互 意图识别 社会交互 人工智能 human-computer interaction intention recognition social interaction artificial intelligence
  • 相关文献

参考文献3

二级参考文献43

  • 1许为.人-计算机交互作用研究和应用新思路的探讨[J].人类工效学,2005,11(4):37-40. 被引量:14
  • 2知识核.(2016,Apid02).为什么AlphgGo的下一个对手是星际争霸2.[Weblogpost].Retrieved from http://mp, weixin, qq. corn/s? __biz = Mz- IyMDI1MTI2NA = = &mid = 402457734&idx = 2&sn = t376884440306bfb79fdb8fffSfeecl 1.
  • 3Baddeley, A. (1992). Working memory. Science ,255 (5044) ,556 -559.
  • 4Bellman,R. (1954). The theory of dynamic pro- gramming( No. RAND - P - 550). RAND CORP SANTA MONICA CA.
  • 5Bellman,R. (1957). Dynamic Programming Prince- ton University Press. Princeton, NJ.
  • 6Cavanagh, P. , & Alvarez, G. A. ( 2005 ). Tracking multiple targets with multifocal attention. Trends in Cognitive Sciences ,9(7 ) ,349 - 354.
  • 7Chikkerur, S. , Serre, T. , Tan, C. , & Poggio, T. (2010). What and where: A bayesian inference theory of attention. Vision Research ,50(22) ,2233 - 2247.
  • 8Cho,S. J. K. ,Memisevic,R. ,& Bengio,Y. (2015). On using very large target vocabulary for neural machine translation.
  • 9Cowan,N. (2012). Working memory capacity. Psy- chology Press.
  • 10Freud, S. ( 1949 ). Abriβ der Psychoanalyse - An Outline of Psycho-Analysis.

共引文献30

同被引文献4

引证文献2

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