An Interactive Mobile Human Resource Management Platform Based on Affective Computing and Dynamic Causal Modeling.
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| Title: | An Interactive Mobile Human Resource Management Platform Based on Affective Computing and Dynamic Causal Modeling. |
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| Authors: | Li, Xijin1 p130010@siswa.ukm.edu.my, Hanafiah, Mohd Hizam1 mhhh@ukm.edu.my |
| Source: | International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 10, p143-156. 14p. |
| Subjects: | Affective computing, Causal models, Distributed computing, Privacy, Personnel management, Job performance, Mobile operating systems, Employee psychology |
| Abstract: | Traditional human resource management approaches rely on low-frequency, questionnairebased methods to capture employee emotional states, whereby elevated risks of privacy leakage are introduced and the relationships between emotion and performance are statistically modeled. Such limitations hinder adaptation to the evolving demands of mobile-enabled management environments. Leveraging the portability of mobile devices and the heterogeneity of embedded sensors, an interactive mobile human resource management platform based on affective computing was proposed. To address the requirements of mobile scenarios, an integrated technical framework combining edge-cloud collaboration and dynamic causal inference was constructed. Three critical challenges were addressed, including the lightweight deployment of affective computing models on edge devices, privacy-preserving mechanisms for sensitive data, and the dynamic modeling of causal relationships among employee emotional responses, work engagement, and performance outcomes. A robust technical paradigm is thus provided for the intelligent upgrading of mobile human resource management systems, while new research directions are established for the interdisciplinary integration of affective computing and mobile office systems. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194196195 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Interactive Mobile Human Resource Management Platform Based on Affective Computing and Dynamic Causal Modeling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Xijin%22">Li, Xijin</searchLink><relatesTo>1</relatesTo><i> p130010@siswa.ukm.edu.my</i><br /><searchLink fieldCode="AR" term="%22Hanafiah%2C+Mohd+Hizam%22">Hanafiah, Mohd Hizam</searchLink><relatesTo>1</relatesTo><i> mhhh@ukm.edu.my</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2026, Vol. 20 Issue 10, p143-156. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Affective+computing%22">Affective computing</searchLink><br /><searchLink fieldCode="DE" term="%22Causal+models%22">Causal models</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+computing%22">Distributed computing</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Personnel+management%22">Personnel management</searchLink><br /><searchLink fieldCode="DE" term="%22Job+performance%22">Job performance</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+operating+systems%22">Mobile operating systems</searchLink><br /><searchLink fieldCode="DE" term="%22Employee+psychology%22">Employee psychology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Traditional human resource management approaches rely on low-frequency, questionnairebased methods to capture employee emotional states, whereby elevated risks of privacy leakage are introduced and the relationships between emotion and performance are statistically modeled. Such limitations hinder adaptation to the evolving demands of mobile-enabled management environments. Leveraging the portability of mobile devices and the heterogeneity of embedded sensors, an interactive mobile human resource management platform based on affective computing was proposed. To address the requirements of mobile scenarios, an integrated technical framework combining edge-cloud collaboration and dynamic causal inference was constructed. Three critical challenges were addressed, including the lightweight deployment of affective computing models on edge devices, privacy-preserving mechanisms for sensitive data, and the dynamic modeling of causal relationships among employee emotional responses, work engagement, and performance outcomes. A robust technical paradigm is thus provided for the intelligent upgrading of mobile human resource management systems, while new research directions are established for the interdisciplinary integration of affective computing and mobile office systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194196195 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijim.v20i10.61941 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 143 Subjects: – SubjectFull: Affective computing Type: general – SubjectFull: Causal models Type: general – SubjectFull: Distributed computing Type: general – SubjectFull: Privacy Type: general – SubjectFull: Personnel management Type: general – SubjectFull: Job performance Type: general – SubjectFull: Mobile operating systems Type: general – SubjectFull: Employee psychology Type: general Titles: – TitleFull: An Interactive Mobile Human Resource Management Platform Based on Affective Computing and Dynamic Causal Modeling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Xijin – PersonEntity: Name: NameFull: Hanafiah, Mohd Hizam IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18657923 Numbering: – Type: volume Value: 20 – Type: issue Value: 10 Titles: – TitleFull: International Journal of Interactive Mobile Technologies Type: main |
| ResultId | 1 |
