Interaction mode enables user perception recognition and perception optimization: An AI human-computer interaction study

Research Article
Open access

Interaction mode enables user perception recognition and perception optimization: An AI human-computer interaction study

Yizhe Shen 1*
  • 1 Nanjing University of Information Science and Technology    
  • *corresponding author 202183290526@nuist.edu.cn
Published on 31 January 2024 | https://doi.org/10.54254/2755-2721/31/20230122
ACE Vol.31
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-287-9
ISBN (Online): 978-1-83558-288-6

Abstract

Artificial intelligent (AI) has various ways of human-computer interaction, but most of them overlook the recognition of human perception. If the interaction mode is combined with psychology, the user's mood change can be identified by the user's subtle expression, movement change and voice tone change, so as to provide corresponding services and improve the user experience. Statistical analysis of human responses to different situations in cognitive psychology, incorporating them into human-computer interaction methods. The current human-computer interaction modes in products tend to be standardized, and focusing user experience on user perception will bring special experiences to users. Emotional recognition is a cross disciplinary discipline with broad application prospects, but it has not yet reached a mature stage and requires corpus enrichment, theoretical strengthening, and method innovation. The era of artificial intelligence is leading a new wave of technological progress, and emotion recognition, as an important topic in the field of artificial intelligence, can help computer intelligence recognize human emotions and make human-computer interaction more friendly. In the near future, research on emotion recognition technology will make greater progress and be better applied to practical products.

Keywords:

interaction mode, perceptual recognition, cognitive psychology

Shen,Y. (2024). Interaction mode enables user perception recognition and perception optimization: An AI human-computer interaction study. Applied and Computational Engineering,31,57-63.
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References

[1]. Lu X, Teng Z, Fan L. Exploration of the Future Development Trends of Human Machine Interaction in the Intelligent Era [J]. Wireless Internet Technology, 2021,18 (03): 7-8

[2]. Gao Z, Lu J, Peng D. Evaluation method of human-computer interaction design scheme for user perceptual needs [J]. Systems Science and Mathematics, 2023,43 (03): 610-628.

[3]. Chen Y, Wang S. Analysis of visual psychological cognition and emotion design in UI Design [J]. Art and Design Research, 2021, No.94 (02): 74-79.

[4]. Zhang H, Huang H, Li W. A Speech Emotion Database for Emotional Change Detection [J]. Computer Simulation, 2021,38 (09): 448-455

[5]. Shi G, Fan S, Wang L. Research and application of speech and emotion recognition technology in psychological counseling [J]. Yangtze River Information and Communications, 2022,35 (09): 19-22.

[6]. Zhang X, Zhang T, Sun Y, etc. Cascade classified emotional speech recognition based on PAD model [J]. Journal of Taiyuan University of Technology, 2018,49 (05): 731-735.

[7]. Shen Z. Study on emotion recognition based on body movements [D]. University of Chinese Academy of Sciences (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences), 2020.

[8]. Meng X, Yang W, Wang T. A Review of Emotional Analysis Research Based on Image Text Fusion [J]. Computer Applications, 2021,41 (02): 307-317.

[9]. Li H, Sun X. Emotional+makes intelligent human-computer interaction possible in the future. CHINA SCIENCE DAILY[N], 2021-5-20(3).

[10]. Tao J, Chen J, Li Y. A Review of Speech Emotion Recognition [J]. Signal Processing, 2023,39 (04): 571-587

Cite this article

Shen,Y. (2024). Interaction mode enables user perception recognition and perception optimization: An AI human-computer interaction study. Applied and Computational Engineering,31,57-63.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-287-9(Print) / 978-1-83558-288-6(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.31
ISSN：2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
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References

[1]. Lu X, Teng Z, Fan L. Exploration of the Future Development Trends of Human Machine Interaction in the Intelligent Era [J]. Wireless Internet Technology, 2021,18 (03): 7-8

[2]. Gao Z, Lu J, Peng D. Evaluation method of human-computer interaction design scheme for user perceptual needs [J]. Systems Science and Mathematics, 2023,43 (03): 610-628.

[3]. Chen Y, Wang S. Analysis of visual psychological cognition and emotion design in UI Design [J]. Art and Design Research, 2021, No.94 (02): 74-79.

[4]. Zhang H, Huang H, Li W. A Speech Emotion Database for Emotional Change Detection [J]. Computer Simulation, 2021,38 (09): 448-455

[5]. Shi G, Fan S, Wang L. Research and application of speech and emotion recognition technology in psychological counseling [J]. Yangtze River Information and Communications, 2022,35 (09): 19-22.

[6]. Zhang X, Zhang T, Sun Y, etc. Cascade classified emotional speech recognition based on PAD model [J]. Journal of Taiyuan University of Technology, 2018,49 (05): 731-735.

[7]. Shen Z. Study on emotion recognition based on body movements [D]. University of Chinese Academy of Sciences (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences), 2020.

[8]. Meng X, Yang W, Wang T. A Review of Emotional Analysis Research Based on Image Text Fusion [J]. Computer Applications, 2021,41 (02): 307-317.

[9]. Li H, Sun X. Emotional+makes intelligent human-computer interaction possible in the future. CHINA SCIENCE DAILY[N], 2021-5-20(3).

[10]. Tao J, Chen J, Li Y. A Review of Speech Emotion Recognition [J]. Signal Processing, 2023,39 (04): 571-587

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