Nomenclature.
<div><p>Human-robot interaction has gained significant attention in various domains, including healthcare, customer service, and industrial automation. High computational cost, inefficient service matching, and elevated failure rates in dynamic service contexts are some primary disadvant...
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2025
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| _version_ | 1852018926753415168 |
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| author | Mohammed Albekairi (21615782) |
| author2 | Meshari D. Alanazi (21615785) Turki M. Alanazi (17990269) Mohamed Vall O. Mohamed (21615788) Khaled Kaaniche (21615791) Anis Sahbani (21615794) Ali Elrashidi (19712176) |
| author2_role | author author author author author author |
| author_facet | Mohammed Albekairi (21615782) Meshari D. Alanazi (21615785) Turki M. Alanazi (17990269) Mohamed Vall O. Mohamed (21615788) Khaled Kaaniche (21615791) Anis Sahbani (21615794) Ali Elrashidi (19712176) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohammed Albekairi (21615782) Meshari D. Alanazi (21615785) Turki M. Alanazi (17990269) Mohamed Vall O. Mohamed (21615788) Khaled Kaaniche (21615791) Anis Sahbani (21615794) Ali Elrashidi (19712176) |
| dc.date.none.fl_str_mv | 2025-06-27T17:43:02Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0324986.t001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Nomenclature_/29427680 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Sociology Cancer Infectious Diseases Biological Sciences not elsewhere classified Information Systems not elsewhere classified tabu search approaches reliably provide end process inquiries autonomously organized computing approaches high computational cost gained significant attention convergent optimization issue dynamic service contexts xlink "> human model &# 8217 make robots better proposed hicm incorporates hicm fared better provide timely services inefficient service matching elevated failure rates robotic query processing handle human questions failure rates customer service time human robots must robotic agents processing systems model evaluates matching ratio human questions existing query services suited appropriate services accessible services various domains using self support system success factor specific solutions robot interaction research introduces primary disadvantages making framework industrial automation including healthcare important metrics findings demonstrate competing models combining annealing calculate quickly autonomous nature 87 %. 09 %, |
| dc.title.none.fl_str_mv | Nomenclature. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>Human-robot interaction has gained significant attention in various domains, including healthcare, customer service, and industrial automation. High computational cost, inefficient service matching, and elevated failure rates in dynamic service contexts are some primary disadvantages of existing query-processing systems. This research introduces a Hybrid Intelligent Computing Model (HICM) to improve robots’ ability to process inquiries autonomously. The goal is to make robots better at responding to human questions in real time with efficient, personalized, and context-specific solutions. Using self-organized computing approaches, robotic agents can reliably provide end-users with services suited to their demands. Due to their autonomous nature, robots must be able to calculate quickly and accurately to provide timely services. To meet these needs, the proposed HICM incorporates a sophisticated decision-support system to handle human questions and find the appropriate services. Within this decision-making framework, the model evaluates the characteristics and relevance of questions about accessible services by combining annealing and Tabu Search approaches. To avoid addressing queries incompatibly, the Tabu Search technique approaches query resolution as a non-convergent optimization issue. Comparing HICM’s performance to other models reveals significant improvements over CDS, DGTA, and CCS. In particular, HICM reduced calculation time by 8.67%, service time by 15.09%, and failure rates by 7.87%. In terms of important metrics, HICM fared better than the competing models. Its success factor was 11.8% higher, its matching ratio was 14.88% higher, and its failure rates were 6.22% lower. These findings demonstrate the model’s efficiency and reliability in terms of robotic query processing and real-time service delivery.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_6950008ea02b56903734fe3cb47c4e99 |
| identifier_str_mv | 10.1371/journal.pone.0324986.t001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29427680 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Nomenclature.Mohammed Albekairi (21615782)Meshari D. Alanazi (21615785)Turki M. Alanazi (17990269)Mohamed Vall O. Mohamed (21615788)Khaled Kaaniche (21615791)Anis Sahbani (21615794)Ali Elrashidi (19712176)MedicineSociologyCancerInfectious DiseasesBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedtabu search approachesreliably provide endprocess inquiries autonomouslyorganized computing approacheshigh computational costgained significant attentionconvergent optimization issuedynamic service contextsxlink "> humanmodel &# 8217make robots betterproposed hicm incorporateshicm fared betterprovide timely servicesinefficient service matchingelevated failure ratesrobotic query processinghandle human questionsfailure ratescustomer servicetime humanrobots mustrobotic agentsprocessing systemsmodel evaluatesmatching ratiohuman questionsexisting queryservices suitedappropriate servicesaccessible servicesvarious domainsusing selfsupport systemsuccess factorspecific solutionsrobot interactionresearch introducesprimary disadvantagesmaking frameworkindustrial automationincluding healthcareimportant metricsfindings demonstratecompeting modelscombining annealingcalculate quicklyautonomous nature87 %.09 %,<div><p>Human-robot interaction has gained significant attention in various domains, including healthcare, customer service, and industrial automation. High computational cost, inefficient service matching, and elevated failure rates in dynamic service contexts are some primary disadvantages of existing query-processing systems. This research introduces a Hybrid Intelligent Computing Model (HICM) to improve robots’ ability to process inquiries autonomously. The goal is to make robots better at responding to human questions in real time with efficient, personalized, and context-specific solutions. Using self-organized computing approaches, robotic agents can reliably provide end-users with services suited to their demands. Due to their autonomous nature, robots must be able to calculate quickly and accurately to provide timely services. To meet these needs, the proposed HICM incorporates a sophisticated decision-support system to handle human questions and find the appropriate services. Within this decision-making framework, the model evaluates the characteristics and relevance of questions about accessible services by combining annealing and Tabu Search approaches. To avoid addressing queries incompatibly, the Tabu Search technique approaches query resolution as a non-convergent optimization issue. Comparing HICM’s performance to other models reveals significant improvements over CDS, DGTA, and CCS. In particular, HICM reduced calculation time by 8.67%, service time by 15.09%, and failure rates by 7.87%. In terms of important metrics, HICM fared better than the competing models. Its success factor was 11.8% higher, its matching ratio was 14.88% higher, and its failure rates were 6.22% lower. These findings demonstrate the model’s efficiency and reliability in terms of robotic query processing and real-time service delivery.</p></div>2025-06-27T17:43:02ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0324986.t001https://figshare.com/articles/dataset/Nomenclature_/29427680CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/294276802025-06-27T17:43:02Z |
| spellingShingle | Nomenclature. Mohammed Albekairi (21615782) Medicine Sociology Cancer Infectious Diseases Biological Sciences not elsewhere classified Information Systems not elsewhere classified tabu search approaches reliably provide end process inquiries autonomously organized computing approaches high computational cost gained significant attention convergent optimization issue dynamic service contexts xlink "> human model &# 8217 make robots better proposed hicm incorporates hicm fared better provide timely services inefficient service matching elevated failure rates robotic query processing handle human questions failure rates customer service time human robots must robotic agents processing systems model evaluates matching ratio human questions existing query services suited appropriate services accessible services various domains using self support system success factor specific solutions robot interaction research introduces primary disadvantages making framework industrial automation including healthcare important metrics findings demonstrate competing models combining annealing calculate quickly autonomous nature 87 %. 09 %, |
| status_str | publishedVersion |
| title | Nomenclature. |
| title_full | Nomenclature. |
| title_fullStr | Nomenclature. |
| title_full_unstemmed | Nomenclature. |
| title_short | Nomenclature. |
| title_sort | Nomenclature. |
| topic | Medicine Sociology Cancer Infectious Diseases Biological Sciences not elsewhere classified Information Systems not elsewhere classified tabu search approaches reliably provide end process inquiries autonomously organized computing approaches high computational cost gained significant attention convergent optimization issue dynamic service contexts xlink "> human model &# 8217 make robots better proposed hicm incorporates hicm fared better provide timely services inefficient service matching elevated failure rates robotic query processing handle human questions failure rates customer service time human robots must robotic agents processing systems model evaluates matching ratio human questions existing query services suited appropriate services accessible services various domains using self support system success factor specific solutions robot interaction research introduces primary disadvantages making framework industrial automation including healthcare important metrics findings demonstrate competing models combining annealing calculate quickly autonomous nature 87 %. 09 %, |