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    Understanding Social Interaction and Physiological Patterns in Nonlean and Last Planner System–Based Project Teams: A Comparative Study Using Immersive Virtual Reality

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 010::page 04024131-1
    Author:
    Canlong Liu
    ,
    Vicente A. González
    ,
    Gaang Lee
    ,
    Guillermo Cabrera-Guerrero
    ,
    Yang Zou
    DOI: 10.1061/JCEMD4.COENG-15064
    Publisher: American Society of Civil Engineers
    Abstract: There are different interactions and physiological patterns in coordination meetings between non-lean and last planner system (LPS)-based project teams. This phenomenon is the result of the top-down workflow control in the LPS that seems to influence group interaction and physiological processes differently compared to non-lean production planning and control approaches that use a bottom-up workflow control. The current LPS management practices focus on developing performance indicators instead of establishing process-oriented initiatives that optimize the temporal patterns of social interaction and physiological processes. Understanding the differences in behavioral and physiological patterns among non-lean and LPS-based project teams can support non-lean project teams in transitioning to LPS-based social and physiological patterns. Incorporating video recordings and physiological sensors such as electrodermal activity (EDA) can capture group interactions and concurrent physiological responses. The multiuser immersive virtual reality-based LPS simulation game (MILPS) is an innovative simulation tool to investigate these patterns in a controlled environment. This study uses MILPS, EDA sensors, and video recordings to investigate the impact of LPS on social interactions and physiological patterns during coordination meetings. A total of 90 participants, forming 30 groups, participated in a two-round experiment consisting of both non-lean and LPS-based project planning and working tasks. The video and EDA data were analyzed to assess the temporal pattern of interactions and associated shared physiological arousals (SPA) in both rounds. The results indicate that more iterative patterns were observed between interaction phases in LPS-based rounds, whereas more sequential patterns were observed in non-lean rounds. A higher level of SPA was found during the negotiation, identification in LPS-based round compared with the non-lean round. The contribution of this study is twofold: (1) the behavioral and physiological patterns during coordination meetings for both non-lean and LPS-based project teams are characterized; and (2) insights are generated into management and training strategies to facilitate LPS implementation.
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      Understanding Social Interaction and Physiological Patterns in Nonlean and Last Planner System–Based Project Teams: A Comparative Study Using Immersive Virtual Reality

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    contributor authorCanlong Liu
    contributor authorVicente A. González
    contributor authorGaang Lee
    contributor authorGuillermo Cabrera-Guerrero
    contributor authorYang Zou
    date accessioned2024-12-24T10:23:52Z
    date available2024-12-24T10:23:52Z
    date copyright10/1/2024 12:00:00 AM
    date issued2024
    identifier otherJCEMD4.COENG-15064.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298840
    description abstractThere are different interactions and physiological patterns in coordination meetings between non-lean and last planner system (LPS)-based project teams. This phenomenon is the result of the top-down workflow control in the LPS that seems to influence group interaction and physiological processes differently compared to non-lean production planning and control approaches that use a bottom-up workflow control. The current LPS management practices focus on developing performance indicators instead of establishing process-oriented initiatives that optimize the temporal patterns of social interaction and physiological processes. Understanding the differences in behavioral and physiological patterns among non-lean and LPS-based project teams can support non-lean project teams in transitioning to LPS-based social and physiological patterns. Incorporating video recordings and physiological sensors such as electrodermal activity (EDA) can capture group interactions and concurrent physiological responses. The multiuser immersive virtual reality-based LPS simulation game (MILPS) is an innovative simulation tool to investigate these patterns in a controlled environment. This study uses MILPS, EDA sensors, and video recordings to investigate the impact of LPS on social interactions and physiological patterns during coordination meetings. A total of 90 participants, forming 30 groups, participated in a two-round experiment consisting of both non-lean and LPS-based project planning and working tasks. The video and EDA data were analyzed to assess the temporal pattern of interactions and associated shared physiological arousals (SPA) in both rounds. The results indicate that more iterative patterns were observed between interaction phases in LPS-based rounds, whereas more sequential patterns were observed in non-lean rounds. A higher level of SPA was found during the negotiation, identification in LPS-based round compared with the non-lean round. The contribution of this study is twofold: (1) the behavioral and physiological patterns during coordination meetings for both non-lean and LPS-based project teams are characterized; and (2) insights are generated into management and training strategies to facilitate LPS implementation.
    publisherAmerican Society of Civil Engineers
    titleUnderstanding Social Interaction and Physiological Patterns in Nonlean and Last Planner System–Based Project Teams: A Comparative Study Using Immersive Virtual Reality
    typeJournal Article
    journal volume150
    journal issue10
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-15064
    journal fristpage04024131-1
    journal lastpage04024131-17
    page17
    treeJournal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 010
    contenttypeFulltext
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