Applied Ergonomics最新文献

The metro is susceptible to disruption risks and requires a system response capability to build resilience to manage disruptions. Achieving such resilient response state requires readiness in both the technology side, e.g., utilizing digital technologies (DTs) to monitor system components, and the human factors side, e.g., fostering positive human coping capabilities; however, these two sides are usually considered independently, without sufficient integration. This paper aims to develop and empirically test a model in which monitoring-enabled DTs, employees' reactions, and their positive capabilities are simultaneously considered in terms of their interplay and impact on system response capability. The results showed that while DTs for monitoring physical components enhanced perceived management commitment and fostered collective efficacy, DTs for monitoring human components increased psychological strain and inhibited improvisation capability, creating a "double-edged sword" effect on system response capability. Additionally, explicit management commitment buffered the adverse effect of DTs-induced psychological strain on individual improvisation.

Fall injuries often occur on extension ladders. The extendable fly section of an extension ladder is typically closer to the user than the base section, though this design is minimally justified. This study investigates the effects of reversing the fly on foot placement, frictional requirements, adverse stepping events (repositioning the foot or kicking the rung), and user preferences. Participant foot placement was farther posterior (rung contacted nearer to toes) in the traditional ladder compared to the reversed fly condition during descent, with farther anterior foot placements during ascent. The reversed configuration had similar friction requirements during early/mid stance and significantly lower frictional requirements during late stance. Increased friction requirements during late stance were associated with farther anterior foot placement and further plantar flexed foot orientation. The reversed fly had 5 adverse stepping events versus 22 that occurred in the traditional configuration. Users typically preferred the reversed fly. These results suggest that a reversed extension ladder configuration offers potential benefits in reducing fall-related injuries that should motivate future research and development work.

When designing footwear products, designers and kinesiologists usually factor in plantar surface pressure, motion capture data, and subjective comfort evaluations. However, these factors alone are not sufficient to guide the design of truly comfortable shoes. Pressure pain threshold (PPT) is a parameter that establishes a connection between psychological quantities and physical quantities. The purpose of this study was to construct a high-precision PPT map of the whole foot. Overall, 20 participants were included in this study, and an electronic, mechanical algometer was used to apply constant pressure to the participants' feet. A MATLAB graphical user interface was developed to simplify the data-collecting process and generate visual representations of the data. Finally, several high-precision unisex, different sex, and dominant side PPT maps were generated. The findings revealed that the foot dorsum area and the medial foot region exhibited the lowest PPTs (indicative of high sensitivity). Notably, the foot dorsum area near the toes displayed the highest pain sensitivity (indicative of the lowest PPT), while the plantar area demonstrated comparatively lower pain sensitivity. The heel area exhibited the lowest pain sensitivity. Simultaneously, the study observed that women's feet exhibited lower pain thresholds than men's. In the future, it is imperative to delve deeper into the correlation between short-term pain sensitivity and the daily, long-term exercise state, as well as other physiological data. This exploration will contribute to a more nuanced guide for footwear comfort design.

Understanding the operator's cognitive workload is crucial for efficiency and safety in human–machine systems. This study investigated how cognitive workload modulates cardiac autonomic regulation during a standardized military simulator flight. Military student pilots completed simulated flight tasks in a Hawk flight simulator. Continuous electrocardiography was recorded to analyze time and frequency domain heart rate variability (HRV). After the simulation, a flight instructor used a standardized method to evaluate student pilot's individual cognitive workload from video-recorded flight simulator data. Results indicated that HRV was able to differentiate flight phases that induced varying levels of cognitive workload; an increasing level of cognitive workload caused significant decreases in many HRV variables, mainly reflecting parasympathetic deactivation of cardiac autonomic regulation. In conclusion, autonomic physiological responses can be used to examine reactions to increased cognitive workload during simulated military flights. HRV could be beneficial in assessing individual responses to cognitive workload and pilot performance during simulator training.

Mode awareness is important for the safe use of automated vehicles, yet drivers' understanding of mode transitions has not been sufficiently investigated. In this study, we administered an online survey to 838 respondents to examine their understanding of control responsibilities in partial and conditional driving automation with four types of interventions (brake pedal, steering wheel, gas pedal, and take-over request). Results show that most drivers understand that they are responsible for speed and distance control after brake pedal interventions and steering control after steering wheel interventions. However, drivers have mixed responses regarding the responsibility for speed and distance control after steering wheel interventions and the responsibility for steering control after gas pedal interventions. With a higher automation level (conditional driving automation), drivers expect automation to remain responsible more often compared to a lower automation level (partial driving automation). Regarding Hands-on requirements, more than 99% of respondents answered that drivers would keep their hands on the steering wheel after all intervention types in partial automation, while 60–95% would place their hands on the wheel after various intervention types in conditional automation. A misalignment between actual logic and drivers' expectations regarding control responsibilities is observed by comparing survey responses to the mode transition logic of commercial partially automated vehicles. To resolve confusion about control responsibilities and ensure consistent expectations, we propose implementing a consistent mode design and providing enhanced information to drivers.

As automated vehicles require human drivers to resume control in critical situations, predicting driver takeover behaviour could be beneficial for safe transitions of control. While previous research has explored predicting takeover behaviour in relation to driver state and traits, little work has examined the predictive value of manual driving style. We hypothesised that drivers’ behaviour during manual driving is predictive of their takeover behaviour when resuming control from an automated vehicle. We assessed 38 drivers with varying experience in a high-fidelity driving simulator. After completing manual driving sessions to assess their driving style, participants performed an automated driving task, typically on a subsequent date. Measures of driving style from manual driving sessions, including headway and lane change speed, were found to be predictive of takeover behaviour. The level of driving experience was associated with the behavioural measures, but correlations between measures of manual driving style and takeover behaviour remained after controlling for driver experience. Our findings demonstrate that how drivers reclaim control from their automated vehicle is not an isolated phenomenon but is associated with manual driving behaviour and driving experience. Strategies to improve takeover safety and comfort could be based on driving style measures, for example by the automated vehicle adapting its behaviour to match a driver’s driving style.

With the diversification of Internet uses, online content type has become richer. Alongside organic results, search engine results pages now provide tools to improve information searching and learning. The People also ask (PAA) box is intended to reduce users' cognitive costs by offering easily accessible information. Nevertheless, there has been scant research on how users actually process it, compared with more traditional content type (i.e., organic results and online documents). The present eye-tracking study explored this question by considering the search context (complex lookup task vs. exploratory task) and users' prior domain knowledge (high vs. low). Main results show that users fixated the PAA box and online documents more to achieve exploratory goals, and fixated organic results more to achieve lookup goals. Users with low knowledge process PAA content at an early stage in their search contrary to their counterparts with high knowledge. Given these results, information system developers should diversify PAA content according to search context and users’ prior domain knowledge.

Robot-assisted surgery (RAS) differs from traditional OR set-ups in several ways such as operation of technology and obstructed team communication that potentially affect surgical staff's stress experiences. The current study investigates the effects of key intraoperative job demands and resources on mental workload and perceived stress in RAS. We focused on the role of intraoperative teamwork as a resource that potentially reduces occupational stress. Combining standardized expert observations in the OR with healthcare providers' self-reports, the study involved two types of robot-assisted, urological interventions. The sample consisted of 73 observed surgeries and included 242 post-operative surveys on perceived stress and mental workload from surgeons and surgical nurses. Multilevel regression analyses reveal differential effects for stress and workload. Importantly, whereas better surgical teamwork was associated with lower stress, it was unrelated to workload. Our findings provide a nuanced picture of occupational stress in RAS, particularly regarding the role of intraoperative teamwork.

This article reports a systematic literature review that examined past research exploring the effectiveness of collaborative Augmented Reality (AR) enabled instruction, in higher education contexts. To be included, an article should consist of an experimental study investigating the use of collaborative AR for learning in higher education settings. An initial search was conducted on five databases that resulted in a total of 2537 articles, of which 20 were finalized for this review. The main findings suggest that AR-enabled collaborative learning benefits students’ overall learning outcomes and provides a positive collaboration experience in higher education settings. Further research is needed to determine the interaction elements, collaboration mechanisms, and information representation through AR that would potentially enhance student learning outcomes. This article concludes by discussing the implications of these findings, identifying challenges and strategies for developing effective collaborative AR-enabled learning content.

Carragher and Hancock (2023) investigated how individuals performed in a one-to-one face matching task when assisted by an Automated Facial Recognition System (AFRS). Across five pre-registered experiments they found evidence of suboptimal aided performance, with AFRS-assisted individuals consistently failing to reach the level of performance the AFRS achieved alone. The current study reanalyses these data (Carragher and Hancock, 2023), to benchmark automation-aided performance against a series of statistical models of collaborative decision making, spanning a range of efficiency levels. Analyses using a Bayesian hierarchical signal detection model revealed that collaborative performance was highly inefficient, falling closest to the most suboptimal models of automation dependence tested. This pattern of results generalises previous reports of suboptimal human-automation interaction across a range of visual search, target detection, sensory discrimination, and numeric estimation decision-making tasks. The current study is the first to provide benchmarks of automation-aided performance in the one-to-one face matching task.