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Integrating Affective Computing and MCDM in Mobile Interactive Systems for Construction Project Manager Selection.

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Title: Integrating Affective Computing and MCDM in Mobile Interactive Systems for Construction Project Manager Selection.
Authors: Hashim, Nurul Hafizah Hazwani1 nurul_hafizah_h2@ahsgs.uum.edu.my, Nawi, Mohd Nasrun Mohd1 nasrun@uum.edu.my, Omar, Mohd Faizal1 faizal_omar@uum.edu.my
Source: International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 9, p69-79. 11p.
Subjects: Affective computing, Multiple criteria decision making, Emotion recognition, Decision support systems, Emotional intelligence, Interactive computer systems, Construction project management
Abstract: Selecting an effective construction project manager is critical to project success, given the complex, high-risk, and people-intensive nature of construction environments. While existing selection frameworks emphasize technical expertise and managerial experience, behavioral and emotional factors that influence leadership and team performance are often assessed subjectively or overlooked. Moreover, conventional multi-criteria decision-making (MCDM) approaches remain largely static and are not designed to capture emotion-related dynamics during evaluation. To address these limitations, this study proposes an integrated framework that combines a mobile interactive system for affective computing with MCDM techniques for construction project manager selection. Facial expressions elicited during structured interview scenarios are analyzed using deep learning-based emotion recognition, incorporating both categorical emotions and pleasure-arousal-dominance (PAD)-based intensity measures to quantify emotional intelligence objectively. These affective indicators are then integrated with technical, managerial, and communication criteria within an MCDM framework to generate systematic and transparent candidate rankings. The proposed approach advances existing selection methods by operationalizing emotional intelligence as a measurable decision attribute and embedding it within a structured decision-support system. By enabling the joint evaluation of cognitive and affective competencies through a platform-independent framework, this study offers a more holistic, consistent, and context-aware basis for construction project manager selection, with practical implications for improving managerial effectiveness and project outcomes. [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
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  Data: Integrating Affective Computing and MCDM in Mobile Interactive Systems for Construction Project Manager Selection.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2026, Vol. 20 Issue 9, p69-79. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Affective+computing%22">Affective computing</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Emotion+recognition%22">Emotion recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Emotional+intelligence%22">Emotional intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Interactive+computer+systems%22">Interactive computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+project+management%22">Construction project management</searchLink>
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  Data: Selecting an effective construction project manager is critical to project success, given the complex, high-risk, and people-intensive nature of construction environments. While existing selection frameworks emphasize technical expertise and managerial experience, behavioral and emotional factors that influence leadership and team performance are often assessed subjectively or overlooked. Moreover, conventional multi-criteria decision-making (MCDM) approaches remain largely static and are not designed to capture emotion-related dynamics during evaluation. To address these limitations, this study proposes an integrated framework that combines a mobile interactive system for affective computing with MCDM techniques for construction project manager selection. Facial expressions elicited during structured interview scenarios are analyzed using deep learning-based emotion recognition, incorporating both categorical emotions and pleasure-arousal-dominance (PAD)-based intensity measures to quantify emotional intelligence objectively. These affective indicators are then integrated with technical, managerial, and communication criteria within an MCDM framework to generate systematic and transparent candidate rankings. The proposed approach advances existing selection methods by operationalizing emotional intelligence as a measurable decision attribute and embedding it within a structured decision-support system. By enabling the joint evaluation of cognitive and affective competencies through a platform-independent framework, this study offers a more holistic, consistent, and context-aware basis for construction project manager selection, with practical implications for improving managerial effectiveness and project outcomes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  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.)
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RecordInfo BibRecord:
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    Identifiers:
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        Value: 10.3991/ijim.v20i09.61575
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 69
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      – SubjectFull: Affective computing
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Emotion recognition
        Type: general
      – SubjectFull: Decision support systems
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      – SubjectFull: Emotional intelligence
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      – SubjectFull: Interactive computer systems
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      – SubjectFull: Construction project management
        Type: general
    Titles:
      – TitleFull: Integrating Affective Computing and MCDM in Mobile Interactive Systems for Construction Project Manager Selection.
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            NameFull: Hashim, Nurul Hafizah Hazwani
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            NameFull: Nawi, Mohd Nasrun Mohd
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            NameFull: Omar, Mohd Faizal
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            – D: 01
              M: 05
              Text: 2026
              Type: published
              Y: 2026
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