98%
921
2 minutes
20
Objective: The authors investigated how human performance consequences of automated decision aids are affected by the degree of automation and the operator's functional state.
Background: As research has shown, decision aids may not only improve performance but also lead to new sorts of risks.Whereas knowledge exists about the impact of system characteristics (e.g., reliability) on human performance, little is known about how these performance consequences are moderated by the functional state of operators.
Method: Participants performed a simulated supervisory process control task with one of two decision aids providing support for fault identification and management. One session took place during the day, and another one took place during the night after a prolonged waking phase of more than 20 hr.
Results: Results showed that decision aids can support humans effectively in maintaining high levels of performance, even in states of sleep loss, with more highly automated aids being more effective than less automated ones. Furthermore, participants suffering from sleep loss were found to be more careful in interaction with the aids, that is, less prone to effects of complacency and automation bias. However, cost effects arose that included a decline in secondary-task performance and an increased risk of return-to-manual performance decrements.
Conclusion: Automation support can help protect performance after a period of extended wakefulness. In addition, operators suffering from sleep loss seem to compensate for their impaired functional state by reallocating resources and showing a more attentive behavior toward possible automation failures.
Application: Results of this research can inform the design of automation, especially decision aids.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/0018720811418222 | DOI Listing |
J Safety Res
September 2025
Department of Civil Engineering, Kırıkkale University, 71450 Yahşihan, Kırıkkale, Turkiye. Electronic address:
Introduction: Roundabouts are increasingly being used to improve traffic flow and reduce conflict points compared to traditional intersections. While previous studies have generally shown that roundabouts reduce vehicle collisions and improve traffic conditions, their impact on pedestrian safety, particularly in urban areas with high pedestrian traffic, has not been adequately studied. Despite the potential of roundabouts to reduce the overall severity of collisions, recent studies also point to specific safety challenges for pedestrians, including the difficulties faced by slow-moving people, changes in pedestrian behavior when avoiding roundabouts, and problems with disabled pedestrians are faced with.
View Article and Find Full Text PDFHeart
September 2025
Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability in increasingly complex patient populations. Computational models, both knowledge-driven and data-driven, have the potential to reshape cardiovascular medicine by offering innovative tools that integrate patient-specific information with physiological understanding or statistical inference to generate insights beyond conventional diagnostics. This review traces how computational modelling has evolved from theoretical research tools into clinical decision support systems that enable personalised cardiovascular care.
View Article and Find Full Text PDFJ Stomatol Oral Maxillofac Surg
September 2025
Department of Oral Medicine and Radiology, Sree Sai Dental College, Srikakulam 532401, INDIA. Electronic address:
Objective: Oral potentially malignant disorders (OPMDs) are a diverse group of oral mucosal lesions that carry an increased risk of malignant transformation. Although biopsy is the gold standard for the diagnosis of these lesions, early detection is crucial, emphasizing the need to introduce more reliable non-invasive screening modalities. The aim of the study was to compare the efficacy of VELscope and vital tissue staining techniques as screening tools in the detection of early dysplastic changes in OPMDS, such as oral leukoplakia (OL), oral lichen planus (OLP) & oral submucous fibrosis (OSMF) with histopathological confirmation.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
eXiT Research Group, Universitat de Girona (UdG), EPS - Edifici P-IV, Carrer Universitat de Girona, 6, Girona, 17003, Catalunya, Spain.
Background And Objective: Hybrid forecasting methods aim to overcome the limitations of classical statistical approaches and deep learning models. While statistical methods provide interpretability, they often lack predictive power. Conversely, deep learning models achieve high accuracy but act as "black boxes.
View Article and Find Full Text PDFInt J Epidemiol
August 2025
Department of Biostatistics and Informatics, University of Colorado, Aurora, CO, United States.
Background: Existing longitudinal cohort study data and associated biospecimen libraries provide abundant opportunities to efficiently examine new hypotheses through retrospective specimen testing. Outcome-dependent sampling (ODS) methods offer a powerful alternative to random sampling when testing all available specimens is not feasible or biospecimen preservation is desired. For repeated binary outcomes, a common ODS approach is to extend the case-control framework to the longitudinal setting.
View Article and Find Full Text PDF