Research on Human-Robot Interaction Methods Based on Audience Cognition
Download PDF
$currentUrl="http://$_SERVER[HTTP_HOST]$_SERVER[REQUEST_URI]"

Keywords

Audience cognition
Human-robot interaction
Effective methods

DOI

10.26689/ssr.v6i2.6048

Submitted : 2024-02-07
Accepted : 2024-02-22
Published : 2024-03-08

Abstract

There are various ways of information transmission, but due to factors such as temporal and spatial differences, semantic expressions, and cultural differences, some information would inevitably be lost during the transmission process. Fortunately, in the information age, various modern information technologies can effectively compensate for the shortcomings of human communication, and social robots have become emerging communication tools. This article analyzes the dilemma of human-robot communication from the perspective of audience cognition and finds that there are still problems with the positioning of social robots and their technology, as well as individual human cognitive limitations and usage challenges. These factors significantly impede the innovative evolution of human-robot communication modes. To address these challenges, the article proposes several response strategies aimed at offering insights and inspiration for the advancement of human-robot communication.

References

Qu J, Jiao H, Wang Q, et al., 2023, Review of Direct Sensing Interactive Human-robot Interface Research. Journal of Weapon Equipment Engineering, 44(12): 141–150.

Lu M, 2023, The VR Industry is Experiencing a “Singularity Moment” of Acceleration and Gear Shifting, China Electronics News, October 20, 2023.

Luo R, Chen Z, Gao Y, 2023, Patent Status of Human-Robot Interaction Technology in Augmented Reality. China Science and Technology Information, 19: 24–26.

Zou J, 2023, Spiritual Production of Human-Robot Interaction in the Era of Artificial Intelligence. Academic Exploration, 10: 37–44.

Cao Y, 2023, Application of Industry Data Fusion and Exploration of Large Models. Software and Integrated Circuits, 8: 33.

Xiong M, Qin Z, Xu J, et al., 2023, Research on the Design Method of Human-Robot Interaction for Cockpit Display Software Based on SCADE Display. Electronic Components and Information Technology, 7(6): 211–214.