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Human-computer interaction based on background knowledge and emotion certainty
Aiming at the problems of lack of background knowledge and the inconsistent response of robots in the current human-computer interaction system, we proposed a human-computer interaction model based on a knowledge graph ripple network. The model simulated the natural human communication process to re...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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PeerJ Inc.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280641/ https://www.ncbi.nlm.nih.gov/pubmed/37346639 http://dx.doi.org/10.7717/peerj-cs.1418 |
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author | He, Qiang |
author_facet | He, Qiang |
author_sort | He, Qiang |
collection | PubMed |
description | Aiming at the problems of lack of background knowledge and the inconsistent response of robots in the current human-computer interaction system, we proposed a human-computer interaction model based on a knowledge graph ripple network. The model simulated the natural human communication process to realize a more natural and intelligent human-computer interaction system. This study had three contributions: first, the affective friendliness of human-computer interaction was obtained by calculating the affective evaluation value and the emotional measurement of human-computer interaction. Then, the external knowledge graph was introduced as the background knowledge of the robot, and the conversation entity was embedded into the ripple network of the knowledge graph to obtain the potential entity content of interest of the participant. Finally, the robot replies based on emotional friendliness and content friendliness. The experimental results showed that, compared with the comparison models, the emotional friendliness and coherence of robots with background knowledge and emotional measurement effectively improve the response accuracy by 5.5% at least during human-computer interaction. |
format | Online Article Text |
id | pubmed-10280641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102806412023-06-21 Human-computer interaction based on background knowledge and emotion certainty He, Qiang PeerJ Comput Sci Human-Computer Interaction Aiming at the problems of lack of background knowledge and the inconsistent response of robots in the current human-computer interaction system, we proposed a human-computer interaction model based on a knowledge graph ripple network. The model simulated the natural human communication process to realize a more natural and intelligent human-computer interaction system. This study had three contributions: first, the affective friendliness of human-computer interaction was obtained by calculating the affective evaluation value and the emotional measurement of human-computer interaction. Then, the external knowledge graph was introduced as the background knowledge of the robot, and the conversation entity was embedded into the ripple network of the knowledge graph to obtain the potential entity content of interest of the participant. Finally, the robot replies based on emotional friendliness and content friendliness. The experimental results showed that, compared with the comparison models, the emotional friendliness and coherence of robots with background knowledge and emotional measurement effectively improve the response accuracy by 5.5% at least during human-computer interaction. PeerJ Inc. 2023-05-31 /pmc/articles/PMC10280641/ /pubmed/37346639 http://dx.doi.org/10.7717/peerj-cs.1418 Text en © 2023 He https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Human-Computer Interaction He, Qiang Human-computer interaction based on background knowledge and emotion certainty |
title | Human-computer interaction based on background knowledge and emotion certainty |
title_full | Human-computer interaction based on background knowledge and emotion certainty |
title_fullStr | Human-computer interaction based on background knowledge and emotion certainty |
title_full_unstemmed | Human-computer interaction based on background knowledge and emotion certainty |
title_short | Human-computer interaction based on background knowledge and emotion certainty |
title_sort | human-computer interaction based on background knowledge and emotion certainty |
topic | Human-Computer Interaction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280641/ https://www.ncbi.nlm.nih.gov/pubmed/37346639 http://dx.doi.org/10.7717/peerj-cs.1418 |
work_keys_str_mv | AT heqiang humancomputerinteractionbasedonbackgroundknowledgeandemotioncertainty |