Zobrazeno 1 - 10
of 3 477
pro vyhledávání: '"Cangelosi, A"'
Publikováno v:
Published in IEEE SMC 2024
This paper presents a novel method to quantify Trust in HRI. It proposes an HRI framework for estimating the Robot Trust towards the Human in the context of a narrow and specified task. The framework produces a real-time estimation of an AI agent's A
Externí odkaz:
http://arxiv.org/abs/2411.19580
This work analyzes the sensitivities of the solution of a system of ordinary differential equations (ODEs) and a corresponding quantity of interest (QoI) to perturbations in a state-dependent component function that appears in the governing ODEs. Thi
Externí odkaz:
http://arxiv.org/abs/2411.09655
Understanding and manipulating concrete and abstract concepts is fundamental to human intelligence. Yet, they remain challenging for artificial agents. This paper introduces a multimodal generative approach to high order abstract concept learning, wh
Externí odkaz:
http://arxiv.org/abs/2410.02365
Although attention mechanisms have achieved considerable progress in Transformer-based architectures across various Artificial Intelligence (AI) domains, their inner workings remain to be explored. Existing explainable methods have different emphases
Externí odkaz:
http://arxiv.org/abs/2407.06339
Artificial agents, particularly humanoid robots, interact with their environment, objects, and people using cameras, actuators, and physical presence. Their communication methods are often pre-programmed, limiting their actions and interactions. Our
Externí odkaz:
http://arxiv.org/abs/2406.10043
Reaching a consensus on the team plans is vital to human-AI coordination. Although previous studies provide approaches through communications in various ways, it could still be hard to coordinate when the AI has no explainable plan to communicate. To
Externí odkaz:
http://arxiv.org/abs/2405.02229
Theory of Mind (ToM) is a fundamental cognitive architecture that endows humans with the ability to attribute mental states to others. Humans infer the desires, beliefs, and intentions of others by observing their behavior and, in turn, adjust their
Externí odkaz:
http://arxiv.org/abs/2311.04397
A social robot acting as a 'mediator' can enhance interactions between humans, for example, in fields such as education and healthcare. A particularly promising area of research is the use of a social robot mediator in a multiparty setting, which ten
Externí odkaz:
http://arxiv.org/abs/2310.13508
In this work, we instantiate a novel perturbation-based multi-class explanation framework, LIPEx (Locally Interpretable Probabilistic Explanation). We demonstrate that LIPEx not only locally replicates the probability distributions output by the wide
Externí odkaz:
http://arxiv.org/abs/2310.04856
Publikováno v:
Child and Adolescent Psychiatry and Mental Health, Vol 18, Iss 1, Pp 1-11 (2024)
Abstract Background Proximal and distal factors interact to shape children’s development and well-being. The present study aimed to examine socioeconomic status (SES), linguistic skills, and language background as concurrent predictors of socio-emo
Externí odkaz:
https://doaj.org/article/7f59b48d6d2d4ef5811357bc53d4fd11
