Cognitive load assessment of active back-support exoskeletons in construction: A case study on construction framing

被引:0
|
作者
Akanmu, Abiola [1 ]
Okunola, Akinwale [1 ]
Jebelli, Houtan [2 ]
Ammar, Ashtarout [1 ]
Afolabi, Adedeji [1 ]
机构
[1] Virginia Tech, Myers Lawson Sch Construct, Blacksburg, VA 24061 USA
[2] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL USA
基金
美国国家科学基金会;
关键词
Active back-support exoskeleton; Cognitive load risk; Electroencephalogram; Power spectrum density; Construction; Carpentry framing task; EEG; PERFORMANCE; IMPACT;
D O I
10.1016/j.aei.2024.102905
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Active back-support exoskeleton has emerged as a potential solution for mitigating work-related musculoskeletal disorders within the construction industry. Nevertheless, research has unveiled unintended consequences associated with its usage, most notably increased cognitive load. Elevated cognitive load has been shown to deplete working memory, potentially impeding task performance and situational awareness. Despite the susceptibility of exoskeleton users to increased cognitive load, there has been limited empirical evaluation of this risk while performing construction tasks. This study evaluates the cognitive load associated with using an active backsupport exoskeleton while performing construction tasks. An experiment was conducted to capture brain activity using an Electroencephalogram, both with and without the use of an active back-support exoskeleton. A construction framing task involving six subtasks was considered as a case study. The participants' cognitive load was assessed for the tested conditions and subtasks through the alpha band of the Electroencephalogram signals. The study identified the most sensitive Electroencephalogram channels for evaluating cognitive load when using exoskeletons. Statistical tests, including a one-way repeated measure ANOVA, paired t-test, and Spearman Rank were conducted to make inferences about the collected data. The results revealed that using an active backsupport exoskeleton while performing the carpentry framing task increased the cognitive load of the participants, as indicated by four out of five significant Electroencephalogram channels. Selected channels in the frontal and occipital lobes emerged as the most influential channels in assessing cognitive load. Additionally, the study explores the relationships among Electroencephalogram channels, revealing strong correlations between selected channels in the frontal lobe and between channels in the occipital and frontal lobes. These findings enhance understanding of how specific brain regions respond to the use of active back support exoskeletons during construction tasks. By identifying which brain regions are most affected, this study contributes to optimizing exoskeleton designs to better manage cognitive load, potentially improving both the ergonomic effectiveness and safety of these devices in construction environments.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Facilitators and barriers to the adoption of active back-support exoskeletons in the construction industry
    Okunola, Akinwale
    Afolabi, Adedeji
    Akanmu, Abiola
    Jebelli, Houtan
    Simikins, Susan
    JOURNAL OF SAFETY RESEARCH, 2024, 90 : 402 - 415
  • [2] Facilitators and Barriers to the Adoption of Active Back-Support Exoskeletons in the Construction Industry
    Okunola, Akinwale
    Akanmu, Abiola
    Jebelli, Houtan
    Simikins, Susan
    CONSTRUCTION RESEARCH CONGRESS 2024: HEALTH AND SAFETY, WORKFORCE, AND EDUCATION, 2024, : 896 - 905
  • [3] Comparison of active and passive back-support exoskeletons for construction work: range of motion, discomfort, usability, exertion and cognitive load assessments
    Okunola, Akinwale
    Akanmu, Abiola Abosede
    Yusuf, Anthony Olukayode
    SMART AND SUSTAINABLE BUILT ENVIRONMENT, 2023,
  • [4] A case study on occupational back-support exoskeletons versatility in lifting and carrying
    Poliero, Tommaso
    Iurato, Matteo
    Sposito, Matteo
    Di Natali, Christian
    Toxiri, Stefano
    Anastasi, Sara
    Draicchio, Francesco
    Monica, Luigi
    Caldwell, Darwin G.
    Sanguineti, Vittorio
    Ortiz, Jesus
    THE 14TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2021, 2021, : 210 - 217
  • [5] Studying the Effects of Back-Support Exoskeletons on Workers' Cognitive Load during Material Handling Tasks
    Liu, Yizhi
    Gautam, Yogesh
    Ojha, Amit
    Shayesteh, Shayan
    Jebelli, Houtan
    CONSTRUCTION RESEARCH CONGRESS 2024: ADVANCED TECHNOLOGIES, AUTOMATION, AND COMPUTER APPLICATIONS IN CONSTRUCTION, 2024, : 659 - 669
  • [6] Active and Passive Back-Support Exoskeletons: A Comparison in Static and Dynamic Tasks
    Poliero, Tommaso
    Fanti, Vasco
    Sposito, Matteo
    Caldwell, Darwin G.
    Di Natali, Christian
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (03) : 8463 - 8470
  • [7] Active and Passive Back-Support Exoskeletons: a Comparison in Static and Dynamic Tasks
    Poliero, Tommaso
    Fanti, Vasco
    Sposito, Matteo
    Caldwell, Darwin G.
    Di Natali, Christian
    2022 9TH IEEE RAS/EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB 2022), 2022,
  • [8] Fatigue assessment for back-support exoskeletons during repetitive lifting tasks
    Xiang, Xiaohan
    Tanaka, Masahiro
    Umeno, Satoru
    Kikuchi, Yutaka
    Kobayashi, Yoshihiko
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2024, 12
  • [9] Evaluating the Impact of Powered Back-Support Exoskeletons and Virtual Reality Interventions on Gait Stability of Construction Workers at Heights
    Shayesteh, Shayan
    Ojha, Amit
    Liu, Yizhi
    Jebelli, Houtan
    COMPUTING IN CIVIL ENGINEERING 2023-RESILIENCE, SAFETY, AND SUSTAINABILITY, 2024, : 392 - 399
  • [10] Dynamic assessment for low back-support exoskeletons during manual handling tasks
    Xiang, Xiaohan
    Tanaka, Masahiro
    Umeno, Satoru
    Kikuchi, Yutaka
    Kobayashi, Yoshihiko
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2023, 11