Research on Recognition Method of Social Robot based on T-A-GCNIIT in Metaverse-Reference-Cited by-同舟云学术

Research on Recognition Method of Social Robot based on T-A-GCNIIT in Metaverse

Published:2023-09-20 Issue: Volume: Page:
ISSN:2375-4699
Container-title:ACM Transactions on Asian and Low-Resource Language Information Processing
language:en
Short-container-title:ACM Trans. Asian Low-Resour. Lang. Inf. Process.

Author:

Wang Huaben¹^ORCID,Tang Jixueyang²^ORCID

Affiliation:

1. School of Big Data and Artificial Intelligence, Anhui Xinhua University, Hefei 230088, China

2. Anhui Manchen Culture and Art Communication Co. LTD, Hefei 230001, China

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 fast 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 T-A-GCNIIT model and cognitive psychology to optimize computing complexity and performance. T-A-GCNIIT algorithm processes social network data, and 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.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3624014

Reference59 articles.

1. Rereading and highlighting as learning strategies: A meta-analytic review;Adesope O. O.;Educational Psychology Review,2020

2. A cognitive approach to cross-lingual sentiment analysis: An investigation into the effects of emotion regulation strategies;Zhang S.;ACM Transactions on Asian and Low-Resource Language Information Processing,2020

3. Anderson , J. R. , & Lebiere , C. ( 2020 ). ACT-R: A cognitive architecture for modeling human performance . MIT Press . Anderson, J. R., & Lebiere, C. (2020). ACT-R: A cognitive architecture for modeling human performance. MIT Press.

4. Wenqing Mao , Yabin Xu Recognition Method of Social Robot Based on Depth Map Convolutional Network [J] . Journal of University of Electronic Science and Technology of China , 2022 ,51(04):615-622+629. Wenqing Mao, Yabin Xu Recognition Method of Social Robot Based on Depth Map Convolutional Network [J]. Journal of University of Electronic Science and Technology of China,2022,51(04):615-622+629.

5. Xinran Liu , Yabin Xu Research on Expanding Detection Data Set of "Humanoid" Social Robot [J] . Journal of University of Electronic Science and Technology of China , 2022 ,51(01):130-137. Xinran Liu, Yabin Xu Research on Expanding Detection Data Set of "Humanoid" Social Robot [J]. Journal of University of Electronic Science and Technology of China, 2022,51(01):130-137.