One goal of automated driving is to mitigate risks by minimising human intervention. However, widespread acceptance of automated vehicles hinges on their perceived ease of use, particularly during takeover scenarios. This online survey investigates the perceived difficulty of takeover in Level 3 Automated Vehicles, focusing on factors influencing takeover performance such as duration of automated mode and traffic density, as well as Non-Driving-Related Tasks like listening to music or engaging in conversation. Using Anderson's experimental protocol based on Integrated Information Theory, 235 drivers aged 18-72 rated takeover difficulty across 32 realistic scenarios varying in these factors. Results indicate significant impacts of all factors on takeover perception, identifying three distinct driver profiles: takeover averse, adaptive, and confident. Findings underscore implications for vehicle acceptance and risk management in automated driving.

Risk associated with vehicle blind spot is a critical concern for road traffic safety that poses a serious threat to drivers as well as vulnerable road users. While driving on the road, it is necessary for drivers to check their mirrors before attempting lane changing, overtaking, turning, or any kind of manoeuvring pattern. But still, there remains some areas around the vehicle that are not visible to driver's peripheral vision even through checking mirrors, known as vehicle blind spots. In this systematic literature, an overview of the blind spot of vehicles along with the associated risks are explained thoroughly by emphasising its importance by focusing on safety aspects. The considered factors included size and visibility of blind spot, demographic factors that influence drivers' awareness and behaviour in blind spot; vehicle characteristics associated with design of different components, and also the efficacy of mirrors in enhancing visibility of blind spots. A quick and concise summary of the literature is highlighted in the current review, and finally, some future directions are proposed to not only help the researchers for a better understanding of blind spot-related driver behavioural issues but also benefit the automotive industry and policymakers to make roads safer.

An uncontrolled vehicular population escalates distraction and affects mental wellness due to ambient noise, profoundly affecting the academic landscape. This study investigates the significant influence of ambient noise on schoolchildren's learning, attention, and cognition, underscoring the critical challenges and potential limitations it poses to their academic progress. Cognitive assessments were conducted under prevailing noise and controlled conditions. Noise levels (L, L, L) were measured using a sound level metre (Kimo dB300) in classrooms of ten roadside schools. Findings reveal that noise levels exceed WHO thresholds for classroom environments. Statistical analyses (-test, paired -test, ANOVA, regression analysis) indicate significant differences in noise levels and cognitive test scores between both noise exposure conditions. Schools S8 and S10 showed a remarkable 15% improvement in cognitive test scores when transitioning from noisy to silent conditions. Noise disproportionately affected students aged 11-13, particularly boys. Effective noise control measures were suggested to create conducive learning environments.

This study aimed to examine the effects of mixed traffic flow (MTF) environments with time pressure (TP) on violated driving behaviours (VDBs) of bus drivers. A questionnaire-based survey was conducted among bus drivers. Factor analyses, partial correlation and linear regression analyses were utilised to explore the associations among VDB, MTF and TP. Our results proposed two novel measurements of MTF and TP and one modified VDB scale. Bus drivers who perceived a higher presence of motorcycles and more dangerous interactions among vehicles were less likely to participate in VDB. Those who perceived motorcyclists as aggressive, road users' traffic habits as unsafe, and bus routes' punctuality and organisation as very strict were more likely to engage in VDB. The predictive models indicated a higher influence of MTF and TP on VDB among bus drivers involved in an accident over the last 3 years compared to other groups.

Roads are social spaces where human road users engage in communication, cooperation, and competition. With the introduction of automated vehicles (AVs) into this space, it becomes crucial to understand human-AV social interactions. This narrative review examines current research in this emerging field, synthesising insights from empirical studies that compare human-human interactions (regular traffic) with human-AV interactions (mixed traffic). We reviewed empirical studies using survey experiments, simulator experiments, test-track experiments, on-road observations, and AV accident analysis. They present mixed evidence on the influences of human-AV interactions in mixed traffic, with an overall negative trend. Negative influences are bi-directional: humans may interact with AVs less cautiously, such as driving more aggressively or exploiting AVs, while AVs can induce negative changes in driver behaviours, including exerting negative peer influences and creating challenges for drivers. We develop a typology of problematic social interactions and highlight outstanding research opportunities.

Stress is both a driver of objective performance impairments and a source of negative user experience of technology. This review addresses future directions for research on stress and ergonomics in the digital age. The review is structured around three levels of analysis. At the individual user level, stress is elicited by novel technologies and tasks including interaction with AI and robots, working in Virtual Reality, and operating autonomous vehicles. At the organisational level, novel, potentially stressful challenges include maintaining cybersecurity, surveillance and monitoring of employees supported by technology, and addressing bias and discrimination in the workplace. At the sociocultural level, technology, values and norms are evolving symbiotically, raising novel demands illustrated with respect to interactions with social media and new ethical challenges. We also briefly review the promise of neuroergonomics and emotional design to support stress mitigation. We conclude with seven high-level principles that may guide future work.

This study explored the effects of scene complexity factor on cybersickness. In this between-subjects experiment, 44 participants played the Pendulum Chair VR game, half with a simple scene and half with a complex scene. The complex scene featured higher optic flow (lower-level perceptual factor) and higher familiarity (higher level factor). Dependent variables were cybersickness and task performance. Results were unexpected in that cybersickness did not differ significantly between the simple and complex scenes. These results suggest that the impact of optic flow and familiarity on cybersickness may be affected by each other or other factors, making them unreliable predictors of cybersickness if considered alone. Both lower level and higher-level factors would benefit from further research to deduce the conditions under which they affect cybersickness. VR designers could consider that optic flow and familiarity alone are not reliable factors when predicting the cybersickness-inducing effects of a new environment.

Situation awareness (SA) and workload have both received considerable attention over the past several decades. Little research has investigated the relationship between these two constructs however. The present study examines the relationship between workload and SA in a task involving operation of unmanned vehicles performing an inspection task. Overall, an inverse correlation between SA and workload was found, with SA decreasing by approximately 20% as workload increased. Unexpectedly, considerable differences in this relationship across individuals were found, however, with 50% of participants showing a correlation between SA and only one workload measure (subjective or secondary task) and 30% showing no correlation between SA and workload on either measure. Reasons for dissociation within different measures of workload and SA are discussed, as well as potential reasons for individual differences leading to dissociations across these two constructs.

There are increasing calls for the application of systems ergonomics methods in healthcare, although evidence for their utility and uptake is limited. In this study, 67 Australian healthcare workers participated in a six-month longitudinal study where they were trained to apply the AcciMap adverse event analysis and Net-HARMS risk assessment methods. Data were gathered in line with the RE-AIM (Reach, Efficacy, Adoption, Implementation, and Maintenance) evaluation framework, including rates of organisational uptake and method validity, perceived workload, usability, and barriers and facilitators to use in practice. Overall RE-AIM ratings for AcciMap were relatively high, and more moderate for Net-HARMS. Time constraints was the most frequently identified barrier to the use of both methods in practice, while there was more organisational resistance to Net-HARMS uptake. Facilitators for the use of both methods include providing quality training and mentorship, additional time and software resources, and dedicated job roles.

The main objective of this research was to develop a questionnaire that demonstrates elevated levels of reliability to assess the behaviour of e-scooter users. The researchers designed an E-scooter Riding Behaviour Questionnaire (ERBQ) with 27 items. This questionnaire aimed to assess the self-reported frequency of various e-scooter riding behaviours, including errors, violations and behaviours. Four hundred eighty-three e-scooter riders completed the ERBQ with subsequent data analysis. Factor analysis was used to identify a six-factor solution that includes control errors, traffic violations, slips and lapses, prohibited actions, positive behaviour and negative behaviour. The findings of the variance study revealed that, after accounting for gender as a confounding factor, errors, violations and negative behaviour emerged as the primary indicators of the likelihood of a crash, near miss and ticket experience. This study focuses on the inferences drawn from the findings about the most effective countermeasures to reduce e-scooter crashes.

Construction is hazardous for workers' health. This study identifies the prevalence of spinal pain vis-à-vis associated occupational and socioeconomic factors, amongst 600 workers (from 20 construction sites, occupied at 7 work stages). We extracted data from the Nordic-Musculoskeletal-Disorders-Questionnaire and analysed in association with personal and occupational traits, using R-language. All workers were male with ages ranging between 15 and 53 years, a mean value of 28.43, and a mean BMI of 19.89 kg/m. A total of 506 workers reported pain in the upper back. Odd Ratios (ORs) of work experience were high (6.749) for the upper back. Income and a part-time job with ORs 1.957 and 2.238 affected upper back. The highest OR (1.165) for the upper back was in 'helpers', and for the lower back (1.643) in 'floor/roof slabbers'. The prevalence of pain with frequency (daily) in the upper back is high ( = 197) than the lower back ( = 170). Intervention is suggested to reduce risk factors.

This study examines the potential of ergonomic interventions to improve the well‑being and productivity of artisans in the Machilipatnam Kalamkari cluster, Andhra Pradesh, known for its traditional vegetable hand‑block printing. Due to a shortage of skilled labour and rising demand, the craft is transitioning to screen printing. The research assesses the feasibility of tools and equipment to ease manual labour, reduce stress, and prevent injuries, while enhancing productivity. The purpose of the study was to propose alternative mechanisms for the craft practices both at unit and cluster levels involving production and non‑production based activities. A survey of 30 artisans revealed strong support for items like anti‑fatigue flooring, measuring stands, and hydro extractors, with over 80% of responses rating them as relevant, useful, and feasible. There is significant association between the awareness and availability of suggested items. The study highlights the importance of introducing ergonomic tools to reduce fatigue, attract younger artisans, and sustain this traditional craft, contributing to both artisan welfare and the preservation of cultural heritage.

Detecting daily stress is of vital importance for workplace safety and health, and natural speech is recommended as one of the main methods of mental stress detection. This study developed machine-learning models for daily stress detection from real-life speeches by fusing its acoustic and semantic signals. First, we collected real-life speech data from life-stress-catharsis room of online chat platform and established a speech database with real daily stress. Second, we obtained the model performances of common machine-learning classifiers for stress detection and compared them with human performance. The stress-detection classifiers achieved a promising performance of 74.25% accuracy and 83.73% F1-score using only acoustic signal. By fusing with the semantic signal, the stress detection model performance was significantly improved and achieved a performance of 81.20% accuracy and 87.46% F1-score, which validated the importance of semantic information in daily stress detection. Meanwhile, the best performance of the machine learning model was close to the human recognition capability. The results of this study validated the feasibility of detecting daily stress based on real speech. The models developed in this study could be used for daily stress detection in real life and can provide information for stress interventions to ease the negative effects on health.

Understanding the characteristics and measurement properties of the observational methods for biomechanical exposure analysis contributes to choosing and planning workplace ergonomic interventions. This systematic review search was performed in the four databases. In 99 studies, 75 observational methods were identified. Posture/movement, force and repetitiveness were the most evaluated risk factors for the upper limbs, trunk and head. EAWS, OCRA, the expanded PATH and QEC evaluate more biomechanical risk factors. EAWS, PATH, QEC, CADEP, ROSA, REBA, modified REBA, RULA, all body segments. Criterion validity, reliability and agreement are REBA and ROSA's most tested measurement properties. The quality of evidence ranged from moderate to high for 23 methods. ALLA, HAL, OFFERA, simplified PATH and the expanded PATH stand out with high-quality evidence. The expanded PATH and QEC are the most complete in evaluating several occupational tasks, respectively, with high- and moderate-quality evidence.

With their increased capability, AI-based chatbots have become increasingly popular tools to help users answer complex queries. However, these chatbots may hallucinate, or generate incorrect but very plausible-sounding information, more frequently than previously thought. Thus, it is crucial to examine strategies to mitigate human susceptibility to hallucinated output. In a between-subjects experiment, participants completed a difficult quiz with assistance from either a polite or neutral-toned AI chatbot, which occasionally provided hallucinated (incorrect) information. Signal detection analysis revealed that participants interacting with polite-AI showed modestly higher sensitivity in detecting hallucinations and a more conservative response bias compared to those interacting with neutral-toned AI. While the observed effect sizes were modest, even small improvements in users' ability to detect AI hallucinations can have significant consequences, particularly in high-stakes domains or when aggregated across millions of AI interactions.

Focusing on the design of a public space, we propose a methodological contribution to integrate possible future users to studies in prospective ergonomics. Our objective is to establish a rigorous protocol for comparing two methods of projecting potential usage. First, a projection interview based on a virtual environment movie and second, a Guided Imaginary Projection interview. We sought to determine to what extent these two methods provide participants with the ability to live a 'quasi-experience' of the space. This 'quasi-experience' is measured by a questionnaire inspired by the concepts of presence and absorption and by the analysis of the embodiment level of the discourse produced during the interviews, from embodied to general discourse. The results show that while the two methods produce similar results in terms of the level of projection experience, the virtual environment movie projection produces significantly more general discourse.

Work-related musculoskeletal disorders (WMSDs) have been a concern among healthcare workers, impacting their well-being and patient safety. Exoskeleton technologies have gained a growing interest as an ergonomic intervention for WMSDs. This scoping review explores exoskeleton effects on WMSDs among healthcare workers. A comprehensive search identified 9 eligible studies published in English between 2013 and 2023. Exoskeletons showed promising effects on objective measures, selectively reducing muscle activation in a task-dependent manner. They also improved force exertion and body posture parameters in specific scenarios. Subjectively, exoskeletons reduced discomfort, pain, fatigue, and received positive perceptions with acceptable usability. However, the impact on perceived exertion varied with tasks. While exoskeletons have shown potential in enhancing healthcare workers' well-being and performance, more work is required to refine their effectiveness and maximise benefits in different healthcare settings. The study revealed the need for standardised methodologies, consideration of participant characteristics, and optimisation of exoskeleton design.

Evaluate the impact of a 6-month sit-stand desk (SSD) intervention on office workers' regional musculoskeletal discomfort (MD) and overall post-work fatigue (PWF) compared to a control group. A two-arm (1:1) clustered randomised controlled trial including 38 participants (aged 24-60 years, 77% women) assigned to intervention or control groups. The intervention, spanning 6 months, involved psychoeducation, motivational prompts, and SSD. The control group maintained standard working conditions. MD was assessed using the Nordic Musculoskeletal Questionnaire, and PWF with the Need for Recovery Scale. ANCOVA was employed to compare groups, adjusting for covariates, with 5% significance. The intervention group reduced overall MD ( = 0.018) and PWF ( = 0.013), while the control group showed no changes. However, no time*group interactions were found ( > 0.05). A 6-month SSD intervention alleviated office workers' MD and PWF, suggesting benefits from increasing standing time by at least 30 minutes/day. Future investigations must explore individual heterogeneity in response to SSD.

This position paper gives an overview of the field of Prospective Ergonomics (PE) for the design of future products, services, processes, and systems. It presents its definition, links with innovation, characteristics, origin, history, goal, supports, and methods to help people imagine the future. In recent years, PE has been rediscovered, actualised and repositioned to give it greater scope and visibility, and stimulate research, training and professional practice in ergonomics for the design of future things. PE is an ergonomic intervention mode, on a par with Corrective ergonomics and Design ergonomics, upstream of design projects, where the ergonomist is proactive in anticipating or constructing future user needs and in creating future artefacts. PE is supported by four main fields of study: Ergonomics, Prospective, Future-Oriented Cognition, and Creativity, which ensures it is guided by three key principles: human-centred, future-oriented, and focused on creativity for innovation. PE expands the scope of ergonomics by going beyond the design of interactions with artefacts and including the creation of these artefacts in the first place. This has major impacts on research, training, and professional practice in ergonomics because we need new knowledge to work efficiently on the future, training should be enhanced in prospective, innovation, and new product development, and the professional practice is enriched by a new set of activities. In the conclusion we propose future research directions to pursue the development of PE.

Understanding mental workload is challenging due to its multidimensional nature and varying sensitivities of its primary measures: task performance, perceived workload, and physiological responses. This study investigates the effects of task load on performance, perceived workload, and pupil measures across different information modalities. A within-subjects experiment involving three tasks (digit span, matrix span, and dual n-back) was conducted with three task load levels. Workload measures included accuracy/sensitivity, reaction time, NASA-TLX, peak pupil diameter, and peak pupil latency. Consistent patterns of associations between task load and these workload measures were found across the three modalities. Workload measures revealed a nuanced interplay between task modality and task load. Robustness of peak pupil latency, accuracy, and NASA-TLX was highlighted across verbal and visual modalities, while peak pupil diameter showed a weaker impact with differences between modalities. The findings encourage multivariate assessment of mental workload to account for different task modalities.

Prospective Ergonomics requires building a vision of the future, which can be achieved empirically (e.g. analysing unmet needs) and/or creatively (e.g. creating future needs). We develop an alternative way of imagining the future, through a model-driven approach. Based on several developmental models, we provide a global picture of possible future(s) emphasising higher-ordered motivations and values (e.g. meaningfulness, accomplishment). To implement them, we then present a model of human accomplishment reinterpreting the concept of ikigai in light of selected psychological theories (e.g. self-determination, eudaemonic well-being, mindfulness). Finally, we apply it to an Industry 5.0 case study named ikigai robotics: we designed an equipment for railway maintenance following a double design process - a functional design loop and a motivational design loop. The process proved inspirational and the results both original and promising, opening avenues for Prospective Ergonomics to develop a new approach for designing the future.

The increasing integration of smart products into society is noteworthy in the field of Prospective Ergonomics (PE), as they herald the emergence of novel products featuring yet-to-be-discovered interaction modalities. Literature highlights a lack of front-end prototyping approaches that transcend disciplinary skills and aid communication across diverse design fields, highly relevant in early-stage smart product development. This paper introduces an integrated, low-fidelity prototyping tool to enhance interdisciplinary communication and understanding of future products' interactive and environmental qualities. A survey provides preliminary validation of the integrated tool's format and content. Findings endorse the tool's structure and flexibility in supporting understanding and communication of interactive and environmental qualities of smart product concepts across a range of design disciplines. As such we advance the discourse on PE by envisioning a low-fidelity prototyping tool to create intermediary objects supporting design efforts towards future products and their new and emerging interaction modalities.

This paper presents the developmental foundation of Activity-Centered Ergonomics (ACE) that has been shaped by both: (1) a critique of conceptions of work and of its organisation in relation to economic and political models of development, and (2) developmental approaches to understand and to act on activity and work situations at different levels (individual, collective, organisational, and territorial). To do so, we examine some key reference works for ACE over 75 years with regards to these two dimensions and the methods and developmental set ups proposed. We argue that ACE analytical and transformative goals give a considerable space to knowledge encounters and workers' activity. We conclude by briefly discussing some of the current ACE works seeking to expand research-action over time and level of action (geographical area and public policies), in order to address key societal issues, including sustainable work and development.

Society faces a growing set of risks from advanced emerging technologies. While there has been discussion on some of these risks, a comprehensive overview does not exist, and it is not clear what methods are suited to identify future risks. This scoping review aimed to synthesise current knowledge regarding the risks associated with emerging technologies. The findings show that a diverse set of technologies and risks have been considered, with ten risk themes identified: risks to human health and wellbeing, sub-standard technology risks, legal and ethical risks, privacy and security risks, socioeconomic impacts, ecological and environmental risks, malicious use risks, geopolitical risks, technological unemployment risks, and existential threats. It is concluded that there is a need to expand the focus of prospective risk assessments to consider the organisational, sociotechnical and societal systems in which emerging technologies will be deployed. The development of a future technology risks classification scheme is also recommended.

Driving anger is a serious global issue that poses risks to road safety, thus necessitating the development of effective detection and intervention methods. This study investigated the feasibility of using smartphones to capture facial expressions to detect event-related driving anger. Sixty drivers completed the driving tasks in scenarios with and without multi-stage road events and were induced to angry and neutral states, respectively. Their physiological signals, facial expressions, and subjective data were collected. Four feature combinations and six machine learning algorithms were used to construct driving anger detection models. The model combining facial features and the XGBoost algorithm outperformed models using physiological features or other algorithms, achieving an accuracy of 87.04% and an F1-score of 85.06%. Eyes, mouth, and brows were identified as anger-sensitive facial areas. Additionally, incorporating individual characteristics into models further improved classification performance. This study provides a contactless and highly accessible approach for event-related driving anger detection. This study proposed a cost-effective and contactless approach for event-related and real-time driving anger detection and could potentially provide insights into the design of emotional interactions in intelligent vehicles.

In this commentary, we argue that the field of Ergonomics and Human Factors (EHF) has the tendency to present itself as a thriving and impactful science, while in reality, it is losing credibility. We assert that EHF science (1) has introduced terminology that is internally inconsistent and hardly predictive-valid, (2) has virtually no impact on industrial practice, which operates within frameworks of regulatory compliance and profit generation, (3) repeatedly employs the same approach of conducting lab experiments within unrealistic paradigms in order to complete deliverables, (4) suggests it is a cumulative science, but is neither a leader nor even an adopter of open-science initiatives that are characteristic of scientific progress and (5) is being assimilated by other disciplines as well as Big Tech. Recommendations are provided to reverse this trend, although we also express a certain resignation as our scientific discipline loses significance. This paper offers criticism of the field of Ergonomics. There are issues such as unclear terminology, unrealistic experiments, insufficient impact and lack of open data. We provide recommendations to reverse the trend. This article concerns a critique of EHF as a science, and is not a critique of EHF practitioners.

Self‑Contained Breathing Apparatus (SCBA) is an essential piece of personal protective equipment for firefighters, providing essential respiratory support and protection. A major challenge in SCBA research is to reduce musculoskeletal disorders and enhance firefighter comfort while carrying the SCBA. In this study, a novel SCBA pack was designed to reduce SCBA‑related musculoskeletal stress. Ten volunteer firefighters were recruited to participate in the test protocol equipped with a novel SCBA (SCBANovel) and a traditional SCBA (SCBATrad) pack. Surface electromyography and pressure data were collected, and subjective ratings of discomfort using a visual analog scale. The results showed that the SCBANovel significantly reduced trapezius and erector spinae muscle activity. Shoulder and waist pressure were reduced by 19.73%‑32.83% and 18.46%‑41.55%, respectively. In addition, the SCBANovel pack reduced lower back discomfort scores by 59.1%, all compared to the SCBATrad pack. The SCBANovel pack showed a significant reduction in musculoskeletal stress and discomfort in firefighters.Practitioner SummarySCBAs are known to be critical in protecting the health of firefighters, but are often associated with firefighter discomfort and musculoskeletal disorders. We developed the SCBANovel pack and explored the effects on the upper body musculoskeletal system and comfort during walking and running compared to carrying the SCBATrad pack. The SCBANovel pack reduced muscle activity in the trapezius and erector spinae muscles and significantly reduced pressure on the shoulders and lower back.

Despite significant strides in linking Human Factors and Ergonomics (HFE) and sustainability, research lacks precision in debating HFE's role, especially concerning the Sustainable Development Goals (SDGs). This paper maps concrete contributions of HFE to the SDGs, offering strategic actions for target achievement. The methodological approach involved the application of PRISMA to define a sample, SciMAT and VOSviewer for visual and temporal thematic mapping, deductive content analysis and categorical analysis. The results show that there is an already rich and unique set of contributions across a wide range of SDGs, not just the most common related to HFE, SDG8 (Decent work). The importance of HFE is highlighted in various aspects, such as the sustainable adoption of industry 4.0 technologies (SDG9) and the development of sustainable production (SDG12), energy (SDG7) and urban (SDG11) systems. Strategic actions specifying targets for each mapped SDG are offered for policymakers, industry professionals and researchers.

Touchless interfaces have gained considerable importance in the modern era, particularly due to their user-friendly and hygienic nature of interaction. This article presents the designing of two touchless cursor control systems based on hand gestures and head movements utilising the MediaPipe framework to extract the key landmarks of the hand and face utilising a laptop camera. The index finger's landmark points are tracked and converted to corresponding screen coordinates for cursor control. Similarly, yaw and pitch angles of head movements are computed in the head movement-based cursor design. A comprehensive performance evaluation of the two proposed systems based on a two-dimensional (2D) Fitts' law experiment revealed superior performance for the hand gesture-controlled cursor compared to the head movement-controlled cursor with throughputs of 0.59 bps and 0.53 bps respectively. Participants also favoured hand gesture-based cursor control over head movement-based cursor control in terms of overall experience and task difficulty.

Passive back-assist exosuits may be beneficial for construction workers, but few evaluations have been conducted with actual workers and construction-relevant tasks. This paper presents a laboratory study of the HeroWear Apex exosuit with 35 participants: 15 with significant construction experience and 20 without it. Participants completed several approximations of brief construction tasks (lifting, carrying, raising boards) and three 3-min tasks (hunched standing, kneeling, hunched walking with a nail gun) with and without the exosuit. During brief tasks, erector spinae electromyograms were reduced in all tasks (Cohen's d up to -0.58), kinematics suggested load shifting from the back to the legs, and the exosuit was perceived as helpful. During 3-min tasks, the exosuit was perceived as helpful in all tasks, but only reduced erector spinae electromyograms during kneeling. Thus, the exosuit may benefit workers during several construction-related tasks, though objective benefits could not be shown in 3-min standing or walking.