Abstract: Human social interactions involve intricate social signals that artificial intelligence and machine learning models aim to decipher, particularly in the context of artificial mediators that ...
A new grant from the Faculty of Psychology and Educational Sciences (Inter-Team projects) at University of Geneva entitled “ Attentional focus and positivity bias during the recognition of vocal ...
New research suggests that a specific type of brain training could help socially anxious individuals break the habit of instantly focusing on threatening social cues. A study published in the Journal ...
We categorized bias mitigation approaches into four clusters: (1) modifying existing AI models or datasets, (2) sourcing data from electronic health records, (3) developing tools with a ...
Background: Psychological craving and attentional bias are important indicators of addiction, as well as critical factors influencing relapse. Psychological craving includes withdrawal craving (a ...
Abstract: Achieving the precise and real-time detection of wheat spikes play a crucial role in wheat growth monitoring for precision agriculture community. Machine-learning methods are commonly ...
Researchers from Tokyo Metropolitan University have studied the relationship between numerical information in our vision, and ...
Bisection tasks reveal biases due to spatial-numerical association. The presence of numbers in the object acts to affect subtly participants’ perception of where the center is. Tokyo, Japan – ...
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