Collaborative Optimization of Human-Computer Interaction Efficiency and Cognitive Load in Mobile Auditing.
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| Title: | Collaborative Optimization of Human-Computer Interaction Efficiency and Cognitive Load in Mobile Auditing. |
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| Authors: | Zhang, Hongling1 sqzyshenji@163.com |
| Source: | International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 11, p89-102. 14p. |
| Subjects: | Human-computer interaction, Cognitive load, Internal auditing, Mobile computing, Adaptive control systems, Privacy, Digital transformation |
| Abstract: | Mobile auditing has been increasingly recognized as a critical direction in the digital transformation of auditing practices. However, field auditing scenarios are constrained by limited device resources, sensitive data privacy requirements, unstable network conditions, and elevated cognitive load among auditors, all of which substantially hinder human-computer interaction efficiency and audit quality. To address these challenges, a multi-module collaborative optimization framework for human-computer interaction was proposed. Four core technologies were integrated into the framework: non-intrusive cognitive load quantification, lightweight on-device cognitive inference, dynamic user interface information density reconfiguration, and adaptive computation offloading under weak network conditions. Through this integration, end-to-end coordination was achieved, encompassing cognitive state awareness, adaptive interface adjustment, and computational task optimization. To validate the effectiveness of the proposed framework, controlled dual-task experiments were conducted, simulating both static and dynamic interference conditions commonly encountered in realworld field auditing. Performance comparisons between the optimized system and a baseline system demonstrated that cognitive load was significantly reduced, while interaction efficiency and task accuracy were markedly improved. Furthermore, stable system performance was maintained under dynamic interference conditions, alongside lightweight deployment and enhanced privacy preservation capabilities. The proposed approach provides a practical technical pathway for optimizing human-computer interaction in mobile professional productivity tools, enriches interdisciplinary research at the intersection of mobile computing and cognitive engineering, and offers substantial academic and engineering value. [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: 194481369 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Collaborative Optimization of Human-Computer Interaction Efficiency and Cognitive Load in Mobile Auditing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Hongling%22">Zhang, Hongling</searchLink><relatesTo>1</relatesTo><i> sqzyshenji@163.com</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 11, p89-102. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+load%22">Cognitive load</searchLink><br /><searchLink fieldCode="DE" term="%22Internal+auditing%22">Internal auditing</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+computing%22">Mobile computing</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+transformation%22">Digital transformation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Mobile auditing has been increasingly recognized as a critical direction in the digital transformation of auditing practices. However, field auditing scenarios are constrained by limited device resources, sensitive data privacy requirements, unstable network conditions, and elevated cognitive load among auditors, all of which substantially hinder human-computer interaction efficiency and audit quality. To address these challenges, a multi-module collaborative optimization framework for human-computer interaction was proposed. Four core technologies were integrated into the framework: non-intrusive cognitive load quantification, lightweight on-device cognitive inference, dynamic user interface information density reconfiguration, and adaptive computation offloading under weak network conditions. Through this integration, end-to-end coordination was achieved, encompassing cognitive state awareness, adaptive interface adjustment, and computational task optimization. To validate the effectiveness of the proposed framework, controlled dual-task experiments were conducted, simulating both static and dynamic interference conditions commonly encountered in realworld field auditing. Performance comparisons between the optimized system and a baseline system demonstrated that cognitive load was significantly reduced, while interaction efficiency and task accuracy were markedly improved. Furthermore, stable system performance was maintained under dynamic interference conditions, alongside lightweight deployment and enhanced privacy preservation capabilities. The proposed approach provides a practical technical pathway for optimizing human-computer interaction in mobile professional productivity tools, enriches interdisciplinary research at the intersection of mobile computing and cognitive engineering, and offers substantial academic and engineering value. [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=194481369 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3991/ijim.v20i11.62126 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 89 Subjects: – SubjectFull: Human-computer interaction Type: general – SubjectFull: Cognitive load Type: general – SubjectFull: Internal auditing Type: general – SubjectFull: Mobile computing Type: general – SubjectFull: Adaptive control systems Type: general – SubjectFull: Privacy Type: general – SubjectFull: Digital transformation Type: general Titles: – TitleFull: Collaborative Optimization of Human-Computer Interaction Efficiency and Cognitive Load in Mobile Auditing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Hongling IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18657923 Numbering: – Type: volume Value: 20 – Type: issue Value: 11 Titles: – TitleFull: International Journal of Interactive Mobile Technologies Type: main |
| ResultId | 1 |
