AIMC Topic: Task Performance and Analysis

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Assessing port service quality: An application of the extension fuzzy AHP and importance-performance analysis.

PloS one
It is argued that ports are playing a crucial role in developing nations' economy. Still, solutions to improving port service quality (PSQ) to boost ports' competitive capacity is questionable. Hence, this study aims to investigate port service quali...

Orthogonal representations for robust context-dependent task performance in brains and neural networks.

Neuron
How do neural populations code for multiple, potentially conflicting tasks? Here we used computational simulations involving neural networks to define "lazy" and "rich" coding solutions to this context-dependent decision-making problem, which trade o...

Predicting individual traits from unperformed tasks.

NeuroImage
Relating individual differences in cognitive traits to brain functional organization is a long-lasting challenge for the neuroscience community. Individual intelligence scores were previously predicted from whole-brain connectivity patterns, extracte...

INFLUENCE OF MINIMALLY INVASIVE LAPAROSCOPIC EXPERIENCE SKILLS ON ROBOTIC SURGERY DEXTERITY.

Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery
BACKGROUND: It is unclear if there is a natural transition from laparoscopic to robotic surgery with transfer of abilities.

Adaptive Human Force Scaling via Admittance Control for Physical Human-Robot Interaction.

IEEE transactions on haptics
The goal of this article is to design an admittance controller for a robot to adaptively change its contribution to a collaborative manipulation task executed with a human partner to improve the task performance. This has been achieved by adaptive sc...

Social Robots for Evaluating Attention State in Older Adults.

Sensors (Basel, Switzerland)
Sustained attention is essential for older adults to maintain an active lifestyle, and the deficiency of this function is often associated with health-related risks such as falling and frailty. The present study examined whether the well-established ...

Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks.

IEEE transactions on medical imaging
A variety of deep neural network (DNN)-based image denoising methods have been proposed for use with medical images. Traditional measures of image quality (IQ) have been employed to optimize and evaluate these methods. However, the objective evaluati...

Quantifying changes over 1 year in motor and cognitive skill after transient ischemic attack (TIA) using robotics.

Scientific reports
Recent work has highlighted that people who have had TIA may have abnormal motor and cognitive function. We aimed to quantify deficits in a cohort of individuals who had TIA and measured changes in their abilities to perform behavioural tasks over 1 ...

Unveiling functions of the visual cortex using task-specific deep neural networks.

PLoS computational biology
The human visual cortex enables visual perception through a cascade of hierarchical computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven approach to discover the functional mapping of the visual cortex. We r...

Automating the Clinical Assessment of Independent Wheelchair Sitting Pivot Transfer Techniques.

Topics in spinal cord injury rehabilitation
BACKGROUND: Using proper transfer technique can help to reduce forces and prevent secondary injuries. However, current assessment tools rely on the ability to subjectively identify harmful movement patterns.