AIMC Topic: Cues
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Risk and prosocial behavioural cues elicit human-like response patterns from AI chatbots.
Scientific reports
Mar 26, 2024
Emotions, long deemed a distinctly human characteristic, guide a repertoire of behaviors, e.g., promoting risk-aversion under negative emotional states or generosity under positive ones. The question of whether Artificial Intelligence (AI) can posses...
A Generative Model to Embed Human Expressivity into Robot Motions.
Sensors (Basel, Switzerland)
Jan 16, 2024
This paper presents a model for generating expressive robot motions based on human expressive movements. The proposed data-driven approach combines variational autoencoders and a generative adversarial network framework to extract the essential featu...
Use of a humanoid robot for auditory psychophysical testing.
PloS one
Dec 13, 2023
Tasks in psychophysical tests can at times be repetitive and cause individuals to lose engagement during the test. To facilitate engagement, we propose the use of a humanoid NAO robot, named Sam, as an alternative interface for conducting psychophysi...
Improving the acceptability of social robots: Make them look different from humans.
PloS one
Nov 17, 2023
The social robots market will grow considerably in the coming years. What the arrival of these new kind of social agents means for society, however, is largely unknown. Existing cases of robot abuse point to risks of introducing such artificial socia...
Negation and speculation processing: A study on cue-scope labelling and assertion classification in Spanish clinical text.
Artificial intelligence in medicine
Oct 10, 2023
Natural Language Processing (NLP) based on new deep learning technology is contributing to the emergence of powerful solutions that help healthcare providers and researchers discover valuable patterns within insurmountable volumes of health records a...
Cultural differences in joint attention and engagement in mutual gaze with a robot face.
Scientific reports
Jul 19, 2023
Joint attention is a pivotal mechanism underlying human ability to interact with one another. The fundamental nature of joint attention in the context of social cognition has led researchers to develop tasks that address this mechanism and operationa...
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection From Point Clouds.
IEEE transactions on pattern analysis and machine intelligence
Jun 30, 2023
Previous works for LiDAR-based 3D object detection mainly focus on the single-frame paradigm. In this paper, we propose to detect 3D objects by exploiting temporal information in multiple frames, i.e., point cloud videos. We empirically categorize th...
Cues trigger depiction schemas for robots, as they do for human identities.
The Behavioral and brain sciences
Apr 5, 2023
Clark and Fischer's three levels of depiction of social robots can be conceptualized as cognitive schemas. When interacting with social robots, humans shift between schemas similarly to how they shift between identity category schemas when interactin...
An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry.
Neural networks : the official journal of the International Neural Network Society
Mar 30, 2023
Learning to navigate a complex environment is not a difficult task for a mammal. For example, finding the correct way to exit a maze following a sequence of cues, does not need a long training session. Just a single or a few runs through a new enviro...
Cue: a deep-learning framework for structural variant discovery and genotyping.
Nature methods
Mar 23, 2023
Structural variants (SVs) are a major driver of genetic diversity and disease in the human genome and their discovery is imperative to advances in precision medicine. Existing SV callers rely on hand-engineered features and heuristics to model SVs, w...
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