Research on Recognition Method of Social Robot Based on T-A-GCNIIT in the Metaverse
Article No.: 89, Pages 1 - 0
Abstract
Social robots are used in intelligent customer service, intelligent chat, intelligent shopping guides, and more because of emotion recognition studies in cognitive psychology. However, determining the user's purpose quickly and precisely has proved challenging. Domestic researchers proposed the A-GCNII model to address missing feature information; however, it needs a lot of math. This research offers a social robot recognition approach using the T-A-GCNIIT model and cognitive psychology to optimize computing complexity and performance. The T-A-GCNIIT algorithm processes social network data, and the Viola–Jones algorithm improves social robot intelligence to represent social robots in the meta-universe. The model performs well in node classification, link prediction, community discovery, and other tasks, with enhanced accuracy, recall, F1 score value, and other metrics. The model can also better comprehend the user's emotional state using cognitive psychology to better recognize their purpose and propose a fresh notion for enhancing social robots' cognitive psychology.
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Index Terms
- Research on Recognition Method of Social Robot Based on T-A-GCNIIT in the Metaverse
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Publication History
Published: 22 June 2024
Online AM: 20 September 2023
Accepted: 02 September 2023
Revised: 06 June 2023
Received: 21 March 2023
Published in TALLIP Volume 23, Issue 6
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- The Key Scientific Research Foundation of the Education Department of Province Anhui
- Provincial Quality Engineering Project of Anhui Province
- College Student Innovation/Maker Laboratory
- Anhui xinhua university quality engineering project
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