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    Impact of Mobile Augmented Reality System on Cognitive Behavior and Performance during Rebar Inspection Tasks

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 006
    Author:
    Ali Abbas
    ,
    JoonOh Seo
    ,
    MinKoo Kim
    DOI: 10.1061/(ASCE)CP.1943-5487.0000931
    Publisher: ASCE
    Abstract: Mobile augmented reality (MAR) enhances the real world through the superimposition of computer-generated information while not interfering with a users’ mobility, having great potential to support various construction tasks. However, such information may lead to cognitive overload and, thus, could lead to adverse effects on the performance of tasks. Also, the narrowing of a user’s field of view that comes with MAR use could limit his or her ability to notice events in their surroundings. Therefore, it is important to understand how MAR use affects cognitive behavior, as well as task and safety performance for better design and applications of MAR in construction. As a preliminary investigation, this study conducted laboratory simulations of rebar-inspection tasks and compared the cognitive load (CL), task performance (TP), and situational awareness (SA) of users of two types of MAR systems—i.e., head-mounted and handheld—against those of inspectors using traditional paper-based methods. In particular, participants’ CL was measured with the National Aeronautics and Space Administration’s Task Load Index (NASA-TLX), their TP by completion time and the number of rebars correctly detected, and their SA with Taylor’s Situation Awareness Rating Technique (SART). Based on the results, we discuss the impact of the MAR system on rebar-inspection tasks from both cognitive and safety perspectives.
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      Impact of Mobile Augmented Reality System on Cognitive Behavior and Performance during Rebar Inspection Tasks

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4268399
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    contributor authorAli Abbas
    contributor authorJoonOh Seo
    contributor authorMinKoo Kim
    date accessioned2022-01-30T21:32:46Z
    date available2022-01-30T21:32:46Z
    date issued11/1/2020 12:00:00 AM
    identifier other%28ASCE%29CP.1943-5487.0000931.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268399
    description abstractMobile augmented reality (MAR) enhances the real world through the superimposition of computer-generated information while not interfering with a users’ mobility, having great potential to support various construction tasks. However, such information may lead to cognitive overload and, thus, could lead to adverse effects on the performance of tasks. Also, the narrowing of a user’s field of view that comes with MAR use could limit his or her ability to notice events in their surroundings. Therefore, it is important to understand how MAR use affects cognitive behavior, as well as task and safety performance for better design and applications of MAR in construction. As a preliminary investigation, this study conducted laboratory simulations of rebar-inspection tasks and compared the cognitive load (CL), task performance (TP), and situational awareness (SA) of users of two types of MAR systems—i.e., head-mounted and handheld—against those of inspectors using traditional paper-based methods. In particular, participants’ CL was measured with the National Aeronautics and Space Administration’s Task Load Index (NASA-TLX), their TP by completion time and the number of rebars correctly detected, and their SA with Taylor’s Situation Awareness Rating Technique (SART). Based on the results, we discuss the impact of the MAR system on rebar-inspection tasks from both cognitive and safety perspectives.
    publisherASCE
    titleImpact of Mobile Augmented Reality System on Cognitive Behavior and Performance during Rebar Inspection Tasks
    typeJournal Paper
    journal volume34
    journal issue6
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000931
    page12
    treeJournal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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