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A Review on Human-Computer Interaction and Intelligent Robots

Author

Listed:
  • Fuji Ren

    (School of Computer Science and Information, Engineering of Hefei University of Technology, Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei 230009, Anhui Province, P. R. China†Tokushima University, Graduate School of Advanced Technology & Science, Tokushima 7708502, Japan)

  • Yanwei Bao

    (School of Computer Science and Information, Engineering of Hefei University of Technology, Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei 230009, Anhui Province, P. R. China)

Abstract

In the field of artificial intelligence, human–computer interaction (HCI) technology and its related intelligent robot technologies are essential and interesting contents of research. From the perspective of software algorithm and hardware system, these above-mentioned technologies study and try to build a natural HCI environment. The purpose of this research is to provide an overview of HCI and intelligent robots. This research highlights the existing technologies of listening, speaking, reading, writing, and other senses, which are widely used in human interaction. Based on these same technologies, this research introduces some intelligent robot systems and platforms. This paper also forecasts some vital challenges of researching HCI and intelligent robots. The authors hope that this work will help researchers in the field to acquire the necessary information and technologies to further conduct more advanced research.

Suggested Citation

  • Fuji Ren & Yanwei Bao, 2020. "A Review on Human-Computer Interaction and Intelligent Robots," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 5-47, February.
    • Handle: RePEc:wsi:ijitdm:v:19:y:2020:i:01:n:s0219622019300052
    DOI: 10.1142/S0219622019300052
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    References listed on IDEAS

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    3. Zhang, Huanhuan & Kou, Gang & Peng, Yi, 2019. "Soft consensus cost models for group decision making and economic interpretations," European Journal of Operational Research, Elsevier, vol. 277(3), pages 964-980.
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