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    Online Hazard Recognition Training: Comparative Case Study of Static Images, Cinemagraphs, and Videos

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 008::page 04021082-1
    Author:
    Ricardo Eiris
    ,
    Eakta Jain
    ,
    Masoud Gheisari
    ,
    Andrew Wehle
    DOI: 10.1061/(ASCE)CO.1943-7862.0002090
    Publisher: ASCE
    Abstract: This research studied the use of cinemagraphs for online training purposes to enhance the hazard recognition of construction “struck-by” hazards. Cinemagraphs (i.e., partially animated videos that loop over time) have been identified as an effective method to direct attention in video content, making it potentially beneficial in remote construction safety training applications where the instructor has no control over what the trainee is observing. To explore the effectiveness of different methods to direct attention in video content for hazard-recognition training purposes, three degrees of animations in narrated videos were compared: (1) static images: regular fixed pictures; (2) partially animated images: cinemagraphs; and (3) fully animated images: traditional videos. A case study was utilized for training students to recognize a select set of struck-by hazards, employing a between-subjects experimental design. The case study contained six potentially fatal struck-by scenarios, independently demonstrated through videos to each group of participants under each experimental condition. Posteriorly to the training, the subjects were evaluated using an online assessment test for stuck-by hazard identification. Through this experimental methodology, measures regarding the hazard identification index (HII), attitudes, cognitive absorption, and transportability were collected from 145 study participants. The results of this investigation did not detect statistical differences in the average hazard identification index scores using narrated static images (average=67.1%; standard deviation (SD) = 19%), cinemagraphs (average=61.5%; SD = 20%), or videos (average=64.8%; SD = 15%). Moreover, the survey responses also suggested that participants across all the experimental conditions had equally positive attitudes, engagement, and sense of being transported to the scenario location. Due to the lack of differences detected in this study across experimental conditions, it was concluded that cinemagraphs provide online training content creators another viable technique with equivalent benefits to traditional methods.
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      Online Hazard Recognition Training: Comparative Case Study of Static Images, Cinemagraphs, and Videos

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4271057
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    contributor authorRicardo Eiris
    contributor authorEakta Jain
    contributor authorMasoud Gheisari
    contributor authorAndrew Wehle
    date accessioned2022-02-01T00:11:29Z
    date available2022-02-01T00:11:29Z
    date issued8/1/2021
    identifier other%28ASCE%29CO.1943-7862.0002090.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271057
    description abstractThis research studied the use of cinemagraphs for online training purposes to enhance the hazard recognition of construction “struck-by” hazards. Cinemagraphs (i.e., partially animated videos that loop over time) have been identified as an effective method to direct attention in video content, making it potentially beneficial in remote construction safety training applications where the instructor has no control over what the trainee is observing. To explore the effectiveness of different methods to direct attention in video content for hazard-recognition training purposes, three degrees of animations in narrated videos were compared: (1) static images: regular fixed pictures; (2) partially animated images: cinemagraphs; and (3) fully animated images: traditional videos. A case study was utilized for training students to recognize a select set of struck-by hazards, employing a between-subjects experimental design. The case study contained six potentially fatal struck-by scenarios, independently demonstrated through videos to each group of participants under each experimental condition. Posteriorly to the training, the subjects were evaluated using an online assessment test for stuck-by hazard identification. Through this experimental methodology, measures regarding the hazard identification index (HII), attitudes, cognitive absorption, and transportability were collected from 145 study participants. The results of this investigation did not detect statistical differences in the average hazard identification index scores using narrated static images (average=67.1%; standard deviation (SD) = 19%), cinemagraphs (average=61.5%; SD = 20%), or videos (average=64.8%; SD = 15%). Moreover, the survey responses also suggested that participants across all the experimental conditions had equally positive attitudes, engagement, and sense of being transported to the scenario location. Due to the lack of differences detected in this study across experimental conditions, it was concluded that cinemagraphs provide online training content creators another viable technique with equivalent benefits to traditional methods.
    publisherASCE
    titleOnline Hazard Recognition Training: Comparative Case Study of Static Images, Cinemagraphs, and Videos
    typeJournal Paper
    journal volume147
    journal issue8
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0002090
    journal fristpage04021082-1
    journal lastpage04021082-12
    page12
    treeJournal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 008
    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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