Chapter Cognitive Dynamics for Construction Management Learning Tasks in Mixed Reality Environments
Technologies to communicate construction project information (engineering designs, schedules) have evolved into a wider range of innovative ecosystems for engineering practices (e.g., cloud-based 3D representations and advanced immersive environments). There is a lack of exploration of effective use...
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| প্রধান লেখক: | , |
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| বিন্যাস: | Online |
| ভাষা: | ইংরেজি |
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Firenze University Press
2024
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20240402_9791221502893_79 |
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| _version_ | 1869519361619787776 |
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| author | Liu, Xuanchang Mutis, Ivan |
| author_browse | Liu, Xuanchang Mutis, Ivan |
| author_facet | Liu, Xuanchang Mutis, Ivan |
| author_sort | Liu, Xuanchang |
| collection | Directory of Open Access Books |
| description | Technologies to communicate construction project information (engineering designs, schedules) have evolved into a wider range of innovative ecosystems for engineering practices (e.g., cloud-based 3D representations and advanced immersive environments). There is a lack of exploration of effective user interaction for learning and training in relation to how presented information influences cognition in these ecosystems. The presented research investigates the users’ cognitive and attentional differences using the interactive capabilities of Mixed reality (MX) technology. The enhanced user-situation interactions are analyzed by measuring cognitive dynamics with an emphasis on two processes (attentional focus and cognitive load) in relation to the challenge of the engineering learning task— defined by its complexity (limited time frame for observations of the situations, number of required observations) and nature (episodic). Cognitive dynamics were measured using an electroencephalography (EEG) device that senses electrical activity in response to changing levels of cognitive stimuli via electrodes placed on the scalp. Measuring fluctuations in cognitive processing (related to the intensity of various task demands) allows associating efforts on semantic information processing for learning and training tasks (e.g., walkthroughs for safety checks in job site in MX). The approach enhances opportunities to design technology that best adapts to the user needs for engineering practices with an efficient comprehensive performance assessment |
| format | Online |
| id | doab-20.500.12854ir-136819 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1368192024-05-09T01:52:06Z Chapter Cognitive Dynamics for Construction Management Learning Tasks in Mixed Reality Environments Liu, Xuanchang Mutis, Ivan Electroencephalography (EEG) Dynamics of attention Cognitive load Cognitive processing thema EDItEUR::U Computing and Information Technology Technologies to communicate construction project information (engineering designs, schedules) have evolved into a wider range of innovative ecosystems for engineering practices (e.g., cloud-based 3D representations and advanced immersive environments). There is a lack of exploration of effective user interaction for learning and training in relation to how presented information influences cognition in these ecosystems. The presented research investigates the users’ cognitive and attentional differences using the interactive capabilities of Mixed reality (MX) technology. The enhanced user-situation interactions are analyzed by measuring cognitive dynamics with an emphasis on two processes (attentional focus and cognitive load) in relation to the challenge of the engineering learning task— defined by its complexity (limited time frame for observations of the situations, number of required observations) and nature (episodic). Cognitive dynamics were measured using an electroencephalography (EEG) device that senses electrical activity in response to changing levels of cognitive stimuli via electrodes placed on the scalp. Measuring fluctuations in cognitive processing (related to the intensity of various task demands) allows associating efforts on semantic information processing for learning and training tasks (e.g., walkthroughs for safety checks in job site in MX). The approach enhances opportunities to design technology that best adapts to the user needs for engineering practices with an efficient comprehensive performance assessment 2024-05-09T01:52:00Z 2024-05-09T01:52:00Z 2024-04-02T15:46:50Z 2023 chapter ONIX_20240402_9791221502893_79 2704-5846 https://library.oapen.org/handle/20.500.12657/89110 9791221502893 https://directory.doabooks.org/handle/20.500.12854/136819 eng Proceedings e report open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/89110/1/9791221502893_22.pdf Firenze University Press 10.36253/979-12-215-0289-3.22 10.36253/979-12-215-0289-3.22 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221502893 11 Florence open access |
| spellingShingle | Electroencephalography (EEG) Dynamics of attention Cognitive load Cognitive processing thema EDItEUR::U Computing and Information Technology Liu, Xuanchang Mutis, Ivan Chapter Cognitive Dynamics for Construction Management Learning Tasks in Mixed Reality Environments |
| title | Chapter Cognitive Dynamics for Construction Management Learning Tasks in Mixed Reality Environments |
| title_full | Chapter Cognitive Dynamics for Construction Management Learning Tasks in Mixed Reality Environments |
| title_fullStr | Chapter Cognitive Dynamics for Construction Management Learning Tasks in Mixed Reality Environments |
| title_full_unstemmed | Chapter Cognitive Dynamics for Construction Management Learning Tasks in Mixed Reality Environments |
| title_short | Chapter Cognitive Dynamics for Construction Management Learning Tasks in Mixed Reality Environments |
| title_sort | chapter cognitive dynamics for construction management learning tasks in mixed reality environments |
| topic | Electroencephalography (EEG) Dynamics of attention Cognitive load Cognitive processing thema EDItEUR::U Computing and Information Technology |
| topic_facet | Electroencephalography (EEG) Dynamics of attention Cognitive load Cognitive processing thema EDItEUR::U Computing and Information Technology |
| url | ONIX_20240402_9791221502893_79 |
| work_keys_str_mv | AT liuxuanchang chaptercognitivedynamicsforconstructionmanagementlearningtasksinmixedrealityenvironments AT mutisivan chaptercognitivedynamicsforconstructionmanagementlearningtasksinmixedrealityenvironments |