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A recent study conducted at Ohio State University focused on human factors and ergonomics, highlighting the challenges faced in sustaining interventions over time. The research introduced the IMPActS Framework and Workshop to address issues of stakeholder alignment and intervention design. By prospectively testing intervention sustainability, the study aimed to enhance the likelihood of intervention success within organizations. The findings were published in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting in 2024. [Extracted from the article]

A recent study conducted by a researcher from the Naval Postgraduate School in Monterey, California, focused on the verification and validation of cognitive workload models for adaptive automation tasks. The research aimed to assess the impacts of adaptive automation on cognitive workload by modeling tasks using the Improved Performance Research Integration Tool (IMPRINT) and conducting human-in-the-loop studies with 120 participants. The study concluded that the IMPRINT models accurately represented the tasks and could be used to develop design recommendations for adaptive automation systems. The findings were published in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting in 2024. [Extracted from the article]

Researchers from Delft University of Technology conducted a study on whether steering settings in cars should be changed by the driver or automatically by the vehicle itself. The study involved participants driving in a simulator under different conditions, such as fixed steering gain levels and machine-initiated or driver-initiated steering system changes. The research found that drivers prefer and benefit from a steering system with variable gain, but some drivers may reject the concept of automatic steering transitions. The study concluded that while technology allows for automatic transitions, the willingness of drivers to delegate decision-making to a machine remains uncertain. [Extracted from the article]

Researchers at Aptima Inc. have developed an Analysis of Alternatives Tool called CLAIRVOYANT to aid in human-agent teaming (HAT) research. This tool utilizes a multiple criteria decision analysis (MCDA) framework to summarize relationships observed in the HAT literature based on user needs, facilitating hypothesis generation and experimental design. The study conducted by Aptima Inc. demonstrates the potential of CLAIRVOYANT, with discussions on current limitations and future directions. For more information, the research can be found in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2024. [Extracted from the article]

The article discusses a new study on human factors and ergonomics, highlighting the challenges faced by practitioners in adapting to various constraints. The research emphasizes the importance of positive examples and success stories in applied settings to support the next generation of professionals in the field. The study aims to promote dialogue and share insights on the practical application of human factors and ergonomics methods. [Extracted from the article]

A study conducted by researchers at Embry-Riddle Aeronautical University focused on the Out-of-Box Experience (OOBE) of the Xbox Adaptive Controller and Logitech Gaming Kit for users with varying levels of disability and gaming experience. The study found that the Xbox Adaptive Controller received positive feedback for its packaging, design, and ease of use, but identified weaknesses such as unclear information on additional switches and difficulties with cable management. The researchers suggest that involving individuals with diverse gaming backgrounds and experiences with disability in the design process can help address challenges and opportunities for a wider range of users. [Extracted from the article]

Researchers from the University of Michigan conducted a study on supporting driver attention during takeover transitions in conditionally automated driving. The study focused on developing a gaze guidance system to direct drivers' attention towards potential hazards in the environment. Results showed that drivers using a highly salient attention guidance system were less likely to collide with secondary hazards, indicating that gaze guidance support is effective in assisting drivers during takeover transitions. The research was published in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting in 2024. [Extracted from the article]

A recent study conducted by Arizona State University explored the impact of including relevant images and progress indicators in online multimedia training on knowledge gain and user satisfaction. The research found that user satisfaction increased when both pictures and progress indicators were included, but there was no significant difference in knowledge gain between conditions. This study sheds light on the importance of visual aids in enhancing user experience in online training modules related to UAS safety. [Extracted from the article]

The article discusses research from Rice University on the effects of automation exposure and non-driving related tasks on manual driving performance after taking control from automated driving systems (ADS). The study found that prolonged exposure to an ADS can lead drivers to adapt in maladaptive ways, such as adopting smaller time headways post-automation. Surprisingly, drivers who rated the automation higher adopted smaller time headways post-automation compared to those who rated it lower, suggesting a relationship between trust in ADS and driving behavior. Future research should explore this relationship to develop safer ADSs. [Extracted from the article]

A recent study conducted at the University of Miami examined the impact of different display types and prior experience with tropical cyclones on user comprehension and decision-making. The research found that graphics integrating tropical cyclone path and hazard information improved comprehension, with experienced individuals performing better. The study highlights the importance of considering display type and user experience when presenting tropical cyclone-related information, suggesting further exploration in this area. For more information, the full article can be accessed through the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. [Extracted from the article]

A study conducted at Bentley University in Waltham, Massachusetts examined the cognitive effects of placing icons in unexpected locations on websites. The research found evidence of cognitive conflict when web icons appeared in unexpected locations, leading users to shift from a primarily dual-systems to dynamical systems strategy. The findings have potential applications in assessing cognitive impacts during real-time interaction with websites, personalization of interfaces based on individual cognitive strategies, and A/B testing of alternative interface designs. The research has been peer-reviewed and published in the journal Human Factors: The Journal of the Human Factors and Ergonomics Society. [Extracted from the article]

A study conducted by researchers at the Georgia Institute of Technology explores the impact of uncertainty on teams working in complex and high-stakes environments. The study focuses on the reorganization and interdependency of team members in response to uncertainty in an air battle management task. The researchers found that metrics of team reorganization and dynamic interdependency significantly predicted team performance, with higher interdependency of team communications leading to better performance. The findings suggest that objective feedback on reorganization and interdependency during team training could help teams adapt to uncertainty-inducing situations. The study was published in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. [Extracted from the article]

A recent report from Ohio State University focuses on the field of human factors and ergonomics, specifically examining the difficulty of human-automation coordination as advanced automated systems become more complex. The researchers developed a visual analytics tool called the What's Next Diagram, which assesses the ability of operators to answer the question of what automation will do next. This tool can be used for post-mortem analysis, system design, and identifying system requirements for anomaly response in the aviation domain. The research was published in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. [Extracted from the article]

A study conducted at Stanford University has found that incorporating visual signals that provide information about the environment can improve drivers' performance when transitioning from a non-driving task to assuming control of a partially automated vehicle. The study measured takeover times and collision occurrences in a simulated driving study and found that incorporating situation awareness (SA) information significantly reduced the time needed for drivers to take control of the vehicle and resulted in fewer collisions. These findings provide insights on optimizing visual cues to quickly restore SA among drivers in partially automated vehicles. The research was published in the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. [Extracted from the article]

A new study conducted at the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery in Rochester, Minnesota, has examined the issue of burnout among trauma surgeons. The study found that factors such as an inadequate work-life balance, high stress levels, and the frequency of on-call, overnight shifts contribute to burnout. The research analyzed stress and fatigue levels among trauma surgeons over a period of 9 days, comparing them to the population of US critical care surgeons. The study concluded that overnight shifts and days performing surgery were particularly stressful and fatiguing, while off days provided relief from these factors. [Extracted from the article]

A recent study from North Carolina State University explores how different types of errors in automation impact people's perception of the system's reliability. The researchers found that the type of error does not affect operator perceptions, but factors such as working memory limitations and pre-existing biases do. The study highlights the importance of considering these factors when designing automated systems. For more information, the full report can be accessed through the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. [Extracted from the article]

A recent study on human factors and ergonomics has explored the challenges of conducting user-centered design when there is limited access to end-users. Traditional user study methods are becoming increasingly difficult to employ due to limited time with users and restrictions in sensitive industries. To address these challenges, the researchers propose three methods: using subject matter experts, analogous use cases, and surrogate users. The study highlights the successes, limitations, and suggestions for each method based on their experience across multiple projects. For more information, the full research article is available for free online. [Extracted from the article]

A new report from MITRE Corporation discusses the importance of resilience in work system operations. The report highlights the need to improve resilience, which is the ability of a system to adapt to diverse conditions and demands. The researchers developed a tool called Resilience-Aware Development-Exploration (RAD-E) to help development teams consider the impact of new technologies, concepts of operations, or policies on work system resilience. The goal is to educate development teams about the significance of work system resilience and identify opportunities to strengthen it. [Extracted from the article]

A recent report from Purdue University discusses the challenges of predicting pedestrian behaviors in the development of autonomous vehicles. The study distinguishes between two types of uncertainties, intrinsic randomness and knowledge limitations, and analyzes these uncertainties in road crossing and short-term movement prediction. The findings indicate that knowledge limitations pose a greater difficulty in predicting pedestrian actions due to limited information. The research emphasizes the need for autonomous vehicle algorithms to account for different levels of behavior-related uncertainties in order to enhance safety and efficiency. [Extracted from the article]

A recent study conducted by researchers at Rice University investigated the impact of augmented reality (AR) system complexity and lighting conditions on task performance, cognitive workload, and alert detection during simulated extravehicular activities (EVAs). The study involved 58 undergraduate students using AR systems to complete tasks, and key metrics included task completion rate, completion time, alert detection, and cognitive workload. The results showed no significant differences in task performance or cognitive workload across lighting conditions and AR types. However, less than 15% of participants noticed any alerts, suggesting that AR alerts may lack sufficient salience. The researchers concluded that future research should involve larger samples and refined methodologies to better understand the impact of AR on astronaut performance and safety during EVAs. [Extracted from the article]

A recent study conducted by researchers at Embry-Riddle Aeronautical University explored the relationship between proficiency in chess and situation awareness (SA). The study involved 18 participants who performed a letter factory task and provided their ELO scores. The results showed a negative correlation between the number of games played and SA scores, suggesting that increased gameplay was associated with lower SA in the task. Additionally, the ELO score was negatively correlated with the number of errors made, indicating that more skilled players made fewer mistakes. This research provides insights into the potential predictive value of chess proficiency in assessing SA in novel tasks. [Extracted from the article]

A recent study conducted at the Georgia Institute of Technology explores the concept of "trust contagion" in human-human-AI teams. The researchers investigated how trust can be influenced by social interactions within teams, specifically focusing on the effects of trust contagion on human-AI trust. The study found that when individuals teamed up with high-trusting teammates, they exhibited higher trust in their AI teammate and performed better in a trust-based game. These findings have important implications for integrating AI in team settings. The full research article can be accessed for free through the provided link. [Extracted from the article]

A recent study conducted by researchers at Purdue University in Indiana explored how general aviation (GA) pilots assess weather conditions during pre-flight weather briefing tasks. The study found that pilots often struggle to accurately estimate flight rule conditions at target locations, even when there is increased observability of nearby weather reporting stations. Despite these errors, pilots remained confident in their estimates. The research highlights the importance of understanding the effects of weather information observability and uncertainty on pilot decision-making. [Extracted from the article]

A recent report discusses research on human factors and ergonomics, specifically focusing on infection prevention and control measures in healthcare settings. The researchers developed a system called ACESO to collect detailed data on patient care sequences and infection prevention practices. Initial findings revealed concerning trends, such as low hand hygiene compliance and instances of healthcare professionals touching potentially contaminated surfaces. This research highlights the importance of improving infection prevention practices to safeguard healthcare professionals, patients, and the environment. [Extracted from the article]

A recent report from Rice University discusses the findings of research on human factors and ergonomics in relation to two-factor authentication (2FA). The research highlights that while 2FA is a security method that adds an extra layer of verification to user accounts, its adoption remains low due to users prioritizing usability over security benefits. However, the study suggests that the perceived importance of user accounts also plays a role in the adoption of 2FA. The research concludes that interfaces can be redesigned to better align with user perceptions and the needs of different contexts. [Extracted from the article]

A report from the University of Wisconsin Madison discusses the investigation of drivers' awareness of automated vehicle modes using the state diagram method. The research focuses on the potential for mode confusion when driving automation introduces multiple driving modes. The modified state diagram method provides insights for designing human-machine interfaces (HMIs) to reduce mode confusion and can be used to develop computational models of automation mode structures. This research has implications for improving the design of automated vehicle systems to enhance driver awareness and safety. [Extracted from the article]

A recent study conducted by researchers at North Carolina State University examined the impact of immersive virtual reality (VR) environments on working memory task performance and the role of embodiment in VR. The study involved sixteen participants who completed N-back tasks either on a computer screen or in VR. The results showed no significant differences in sense of embodiment or task performance among the different VR conditions. However, the researchers noted that the study's preliminary nature highlights the need for larger sample sizes to draw more conclusive results. Further research is needed to validate these findings and explore the effects of VR interventions on cognitive outcomes. [Extracted from the article]

A recent study conducted at Dalhousie University explored the relationship between trust, reliance, and dependence on automated systems. The researchers investigated how changes in the reliability of automation affected users' trust and dependence on the system. Participants completed a color identification task with the assistance of an automated aid, and the reliability of the aid either increased or decreased as the task progressed. The study found that trust did not differ between the two groups, but participants' dependence on the system did follow the changes in reliability. These findings suggest that trust does not always correlate with system reliability and that trust may influence dependence but does not always determine it. [Extracted from the article]

Lockheed Martin Corporation has released new findings in human factors and ergonomics, focusing on the increasing complexity and cognitive demands on human agents when artificial intelligence (AI) is introduced. The researchers propose adjusting how cognition is conceptualized in manned-unmanned teaming environments and suggest that the system and environment should be considered as the same cognitive unit as the operator. They advocate for an approach that extends cognition through scaffolding and offloading, drawing from extended cognition theory. The research offers a set of theoretically grounded research questions for understanding and improving workload in human-machine teaming. [Extracted from the article]

A recent report from Arizona State University explores the impact of communication timing and sequencing on team performance in both human-AI and all-human teams. The study used data from a task involving a remotely piloted aircraft system and found that while the timing of communication may differ between human-AI and all-human teams, it is the sequencing of communicative messages that predicts team performance. The researchers hope that these findings can provide feedback and suggestions for the future adoption of AI as a teammate in team training and operations. The full report can be accessed for free online. [Extracted from the article]

A recent report from the University of Wisconsin Madison discusses research on human factors and ergonomics, specifically focusing on the interdependence between drivers and automation systems. The study emphasizes the need to support driver-automation interdependence in order to align their behaviors with team goals. The researchers used the Interdependence Analysis (IA) method to evaluate the relationship between a driver and the Tesla Model Y during the Automatic Lane Change feature. The study highlights the importance of considering situational property and task timescale when analyzing interdependence within driver-automation teams. [Extracted from the article]

A recent study conducted by researchers at the University of Central Florida has developed interpretable models to predict cognitive workload (CWL) in teams operating in complex environments. The study utilized multimodal data from non-invasive behavioral and physiological sensors to detect CWL changes. The findings indicate that the multimodal patterns derived from these measures were significantly associated with CWL and predictive of individual and team performance. This research has the potential to enhance human-machine teaming in demanding environments. [Extracted from the article]

A recent report from the University of Wisconsin Madison highlights the need for improved training for emergency responders in mass casualty incidents. The researchers have developed an adaptive training framework that utilizes Extended Reality (XR) technologies to create personalized and high-quality training scenarios. The evaluation of this framework with 15 public safety personnel showed improved knowledge retention, skills, and positive response toward adaptation. This research suggests that the adaptive training framework enhances the learning experience for emergency responders, ultimately improving their skills and performance in real-world emergencies. [Extracted from the article]

A recent report from Iowa State University discusses research on human factors and ergonomics, specifically focusing on the development of a shoe scanning system called MANTIS. The research aimed to create a system that could collect shoe scans in real-time without violating privacy. The system would be able to identify specific traits on the soles of shoes, providing insight into their origins, how they are worn, and the people who wear them. The research explores the challenges and potential of developing a prototype of such a system. [Extracted from the article]

A recent study conducted by researchers at North Carolina State University explores the concept of embodiment in virtual reality (VR) and its impact on task performance. The study focused on hand and foot-reaching tasks using different body representations in VR environments. The findings suggest that tailoring virtual environments to enhance embodiment and considering task-specific demands can optimize performance outcomes. Personalizing VR experiences based on body representations could improve user engagement and satisfaction, providing valuable insights for future VR applications in various domains. [Extracted from the article]

A recent study conducted by the University of Central Florida explores the use of artificial intelligence (AI) tools in the development of training materials for high-consequence industries. The researchers investigated the integration of AI tools, such as ChatGPT, into the training development process. Through workshops with task and domain experts, they identified the potential benefits, challenges, and limitations associated with the use of generative AI in training development. The study provides valuable insights for training practitioners in high-consequence industries who are looking to enhance training efficiency and effectiveness. [Extracted from the article]

A recent report discusses research conducted at Michigan Technological University on human factors and ergonomics. The study focused on the use of Design Thinking (DT) to promote team innovation. Two experiments were conducted, comparing different DT strategies for generating innovative solutions to sustainability problems. The results showed that small adjustments to the DT process had significant effects on innovation, with teams using certain strategies generating more ideas overall or more original ideas. This research provides valuable insights into the potential impact of DT on team performance and innovation. [Extracted from the article]

A researcher from the Idaho National Laboratory has published new studies and findings in the field of human factors and ergonomics. The research focuses on the impact of various technologies developed for electric grid operations on human performance. The study evaluates six different simulators and finds that they lack the ability to customize user interfaces and do not fulfill basic human factors design principles. The research suggests the need for scripting tools to integrate customizable user interfaces and simulation models in order to meet research requirements. [Extracted from the article]

Researchers at Ohio State University have published a report on human factors and ergonomics, specifically focusing on the use of computational modeling and simulation to design and evaluate distributed work systems. The study highlights the challenges of designing integrated systems of humans and automation and emphasizes the importance of predicting emergent effects. The researchers demonstrate the power of computational simulation in designing, verifying, and validating these systems, with a particular focus on aviation operations. The approach can be applied in all stages of system design and offers a valuable tool for evaluating the robustness of human-automation interactions. [Extracted from the article]

A recent study conducted by researchers at Rice University examined the impact of cell phone conversations on drivers' ability to accurately predict cyclists' intentions. The study found that drivers' judgments were significantly influenced by arm signals made by cyclists, while road position and head movement did not have a significant impact. Additionally, the study revealed that simulated cell phone conversations led to less accurate responses, highlighting the dangers of talking on the phone while driving. This research provides valuable insights into the factors that contribute to collisions between vehicles and cyclists, emphasizing the need for increased awareness and attention on the road. [Extracted from the article]

A recent study conducted by researchers at Arizona State University explored the mental models that chefs and managers have regarding safety protocols in restaurant kitchens. The study found that individuals with more skills or experience demonstrated superior mental models and increased network coherence. The research highlights the importance of comprehensive safety training and continual skill development in enhancing kitchen safety and efficiency. Understanding mental models and network coherence can help restaurant workers effectively manage complex tasks and uphold safety standards in dynamic environments. [Extracted from the article]

A recent research report from the University of Central Florida explores the impact of transparency on human-automation relationships in complex systems. The study investigates how transparency, which involves communicating the behavior and intent of automation to operators, affects trust, communication, and reliance in human-automation teams. The research found that transparency had modest effects on trust, situation awareness, workload, and task performance across the human-automation teaming lifecycle. Notably, the absence of transparency during critical phases such as training and after-action reviews had significant impacts on situation awareness, task performance, and workload. For more information, the full research report can be accessed through the Proceedings of the Human Factors and Ergonomics Society Annual Meeting. [Extracted from the article]

A recent study conducted in Ottawa, Canada explored the impact of different flight maneuvers on flight simulator sickness (SS). The researchers aimed to identify which maneuvers result in increased SS symptoms in order to improve pilot training programs. The study found that flight sessions with more intense maneuvers, such as landing with wind and taxiing, resulted in an increase in sickness symptoms compared to sessions with less intense maneuvers, such as steep turns. These findings highlight the need to further investigate the effects of specific maneuvers on pilot training and retention. [Extracted from the article]

A study conducted by researchers at Rice University examined the effectiveness of auditory alerts in aiding the detection of phishing emails. The study found that incorporating auditory alerts, such as earcon and speech alerts, can help individuals with normal or corrected-to-normal vision to identify phishing threats more efficiently. Participants in the alert groups spent less time on each email compared to the control group, and those in the earcon condition were more likely to classify emails as phishing. These findings can inform the development of auditory alerts for phishing in the future, making them more inclusive for visually impaired individuals. [Extracted from the article]

A recent study conducted by researchers at Arizona State University explores the ethical considerations of using drones in humanitarian contexts. The study highlights the benefits of using drones for disaster prevention, relief, and global health missions, but also raises concerns about the military history of drones and the lack of adequate regulations. The researchers propose recommendations, such as implementing standards that combine ethical principles and safety management systems, to address safety, privacy, and regulatory concerns. These recommendations can be used by public agencies and volunteer organizations to guide their drone use in humanitarian contexts. [Extracted from the article]

A study conducted by researchers at Rice University evaluated the usability of single-page and multipage digital instructions in a ballot mailing task. Previous research had suggested that the single-page format was more efficient, but this study found that the multipage format had fewer errors and requests for assistance. The study concluded that the multipage format should be utilized for the digital display of ballot mailing instructions in emerging paper-digital systems. This research provides insights for the design of digital instructions in electronic voting systems. [Extracted from the article]

Researchers at Arizona State University have conducted a study on the impact of user interface designs on expectations about the capabilities of large language models (LLMs). The study found that LLMs with their conversational interaction format can create misconceptions about their capabilities. The researchers conducted an online study where participants were shown prompts covering various tasks and asked to assess the likelihood of the LLM being able to help with those tasks. The study concluded that manipulating expectations through interface designs was insufficient to overcome initial expectations in most task domains. This research provides insights for developers to avoid potential over- or under-reliance on LLM technology due to user misconceptions. [Extracted from the article]