logo

SCIENTIA SINICA Informationis, Volume 49, Issue 3: 361-368(2019) https://doi.org/10.1360/N112018-00181

Human-computer interaction and artificial intelligence: from competition to integration

More info
  • ReceivedJul 16, 2018
  • AcceptedNov 6, 2018
  • PublishedMar 15, 2019

Abstract

Human-computer interaction and artificial intelligence (AI) are the two most important information technologies in the era of intelligent information. Through the developing histories of human computer interaction and AI, it was found that the relation between human-computer interaction and AI has changed from a competitive (in the past) to mutual promotion (in the present) state. Some intelligent user interface combining both human-computer interaction and AI techniques has gradually become commercial application from the research perspective, such as natural gesture interaction, emotional computing, and voice dialog system. This paper reviews the development process of human-computer interaction and summarizes its relation with AI. Human-computer interaction provides research ideas for AI; moreover, human intelligence drives the development of human-computer interaction and human-machine interaction. In the future, we anticipate that the present mutual promotion and driving relation existing between AI and human-machine interaction will continue, and will even increase.


Funded by

国家重点研发计划(2016YFB10011405)

中国科学院前沿科学重点研究计划(QYZDY-SSW-JSC041)


References

[1] Darrach B. Meet shaky: the first electronic person. Life Mag, 1970, 69: 58--68. Google Scholar

[2] Licklider L C R. Man-computer symbiosis. IIRE Trans Human Factors Electron, 1960, 1: 4--11. Google Scholar

[3] Grudin J. AI and HCI: Two Fields Divided by a Common Focus. AIMag, 2010, 30: 48-57 CrossRef Google Scholar

[4] Bobrow D G, Kaplan R M, Kay M. GUS, a frame-driven dialog system. Artificial Intelligence, 1977, 8: 155-173 CrossRef Google Scholar

[5] Hollan J, Rich E, Hill W, et al. An introduction to HITS: human interface tool suite. In: Proceedings of Intelligent User Interfaces. New York: ACM, 1991. 293--337. Google Scholar

[6] Fischer G, Lemke A, Schwab T. Knowledge-based help systems. SIGCHI Bull, 1985, 16: 161-167 CrossRef Google Scholar

[7] Shardanand U, Maes P. Social information filtering: algorithms for automating “word of mouth". In: Proceedings of Sigchi Conference on Human Factors in Computing Systems, 1995. 210--217. Google Scholar

[8] Resnick P. Filtering Information on the Internet. Sci Am, 1997, 276: 62--64. Google Scholar

[9] Good N, Schafer J B, Konstan J A, et al. Combining collaborative filtering with personal agents for better recommendations. In: Proceedings of AAAI/IAAI, 1999. 439--446. Google Scholar

[10] Oviatt S. Mutual disambiguation of recognition errors in a multimodel architecture. In: Proceedings of the SIGCHI conference on Human Factors in Computing Systems, 1999. 576--583. Google Scholar

[11] Horvitz E. Principles of mixed-initiative user interfaces. In: Proceedings of the SIGCHI conference on Human Factors in Computing Systems, 1999. 159--166. Google Scholar

[12] Fan J, Tian F, Du Y. Thoughts on human-computer interaction in the age of artificial intelligence. Sci Sin Inform, 2018, 48: 361-375 CrossRef Google Scholar

[13] Dong S H, Wang J, Dai G Z. Human-Computer Interaction and Multimodel User Interface. Beijing: Science Press, 1999 [董士海, 王坚, 戴国忠. 人机交互和多通道用户界面. 北京: 科学出版社, 1999]. Google Scholar

[14] Dai G Z, Tian F. Pen-based User Interface. Beijing: Press of University of Science and Technology of China, 2009 [戴国忠, 田丰. 笔式用户界面. 北京: 中国科学技术大学出版社, 2009]. Google Scholar

[15] Hu B G, Tian T N, Wang Y. Affective computing-new topics of computer science and technology development. Science Times, 2000.3.24 [胡包钢, 谭铁牛, 王珏. 情感计算--计算机科技发展的新课题. 科学时报, 2000.3.24]. Google Scholar

[16] Yi X, Yu C, Xu W J, et al. COMPASS: rotational keyboard on non-touch smartwatches. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, 2017. 705--715. Google Scholar

[17] Yu C, Sun K, Zhong M Y, et al. One-dimensional handwriting: inputting letters and words on smart glasses. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, 2016. 71--82. Google Scholar

[18] Strategic Research Group in Information Field, Chinese Academy of Sciences. Road Map of Information Technology Development in China to 2050. Beijing: Science Press, 2009 [中国科学院信息领域战略研究组. 中国至2050 年信息科技发展路线图. 北京: 科学出版社, 2009]. Google Scholar

[19] Wang H A, Tian F. 10000 Selected Problem in Sciences -- Information Sciences. Beijing: Science Press, 2011 [王宏安, 田丰. 10000 个科学难题--信息科学卷. 北京: 科学出版社, 2011]. Google Scholar

[20] Jin L W, Zhong Z Y, Yang Z, et al. Applications of deep learning for handwritten chinese character recognition: a review. Acta Autom Sin, 2016, 42: 1125--1141. Google Scholar

[21] Li Y, Huang J, Tian F. Multimodal aided neurological disease diagnosis with synergy of cloud and client. Sci Sin Inform, 2017, 47: 1164-1182 CrossRef Google Scholar

Copyright 2019 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备18024590号-1