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Performance metrics outperform physiological indicators in robotic teleoperation workload assessment.
Sci Rep
December 2024
School of Computer Science, University of Nottingham, Nottingham, UK.
Robotics holds the potential to streamline the execution of repetitive and dangerous tasks, which are difficult or impossible for a human operator. However, in complex scenarios, such as nuclear waste management or disaster response, full automation often proves unfeasible due to the diverse and intricate nature of tasks, coupled with the unpredictable hazards, and is typically prevented by stringent regulatory frameworks. Consequently, the predominant approach to managing activities in such settings remains human teleoperation.
View Article and Find Full Text PDFOdor prediction of whiskies based on their molecular composition.
Commun Chem
December 2024
Department of Sensory Analytics and Technologies, Fraunhofer Institute for Process Engineering and Packaging IVV, Freising, Germany.
Aroma compositions are usually complex mixtures of odor-active compounds exhibiting diverse molecular structures. Due to chemical interactions of these compounds in the olfactory system, assessing or even predicting the olfactory quality of such mixtures is a difficult task, not only for statistical models, but even for trained assessors. Here, we combine fast automated analytical assessment tools with human sensory data of 11 experienced panelists and machine learning algorithms.
View Article and Find Full Text PDFTime Series Classification for Predicting Biped Robot Step Viability.
Sensors (Basel)
November 2024
Biomechatronics Laboratory, Mechatronics Department, Escola Politécnica, University of São Paulo (EP-USP), São Paulo 05508-220, Brazil.
The prediction of the stability of future steps taken by a biped robot is a very important task, since it allows the robot controller to adopt the necessary measures in order to minimize damages if a fall is predicted. We present a classifier to predict the viability of a given planned step taken by a biped robot, i.e.
View Article and Find Full Text PDFBenchmark suites instead of leaderboards for evaluating AI fairness.
Patterns (N Y)
November 2024
Princeton University, Princeton, NJ, USA.
Benchmarks and leaderboards are commonly used to track the fairness impacts of artificial intelligence (AI) models. Many critics argue against this practice, since it incentivizes optimizing for metrics in an attempt to build the "most fair" AI model. However, this is an inherently impossible task since different applications have different considerations.
View Article and Find Full Text PDFTraumatic Brain Injury and Risk of Incident Dementia: Forensic Applications of Current Research.
Arch Clin Neuropsychol
November 2024
Division of Psychology, Department of Psychiatry, UT Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9044, USA.
Article Synopsis
- Traumatic Brain Injury (TBI) is linked to a greater risk of developing neurodegenerative disorders, which is a crucial concern in forensic settings, particularly in legal cases involving allegations of TBI.
- * Forensic neuropsychologists are tasked with evaluating the risk of dementia following TBI, but studies show that only a small number of individuals develop neurodegenerative diseases post-injury, complicating the predictions and assessments.
- * Assessing TBI in forensic cases relies on more rigorous methods than standard clinical evaluations, yet current research on TBI and its connection to dementia is often inconsistent and limited, posing challenges for forensic experts.
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