Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Giuseppe, Riccardi"'
Autor:
Morena Danieli, Tommaso Ciulli, Seyed Mahed Mousavi, Giorgia Silvestri, Simone Barbato, Lorenzo Di Natale, Giuseppe Riccardi
Publikováno v:
JMIR Mental Health, Vol 9, Iss 9, p e38067 (2022)
BackgroundWhile mental health applications are increasingly becoming available for large populations of users, there is a lack of controlled trials on the impacts of such applications. Artificial intelligence (AI)-empowered agents have been evaluated
Externí odkaz:
https://doaj.org/article/fd1e1639d6e041a29d96e6c0bf2a6fe9
Publikováno v:
JMIR Formative Research, Vol 5, Iss 12, p e30053 (2021)
BackgroundMobile apps for mental health are available on the market. Although they seem to be promising for improving the accessibility of mental health care, little is known about their acceptance, design methodology, evaluation, and integration int
Externí odkaz:
https://doaj.org/article/9d8f567c628342d48f13566ad106804e
Autor:
Christian C. Luhmann, Tessa Clarkson, Juan Manuel Mayor Torres, Matthew D. Lerner, Giuseppe Riccardi, Kathryn M. Hauschild
Publikováno v:
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 7:688-695
Background Individuals with autism spectrum disorder (ASD) exhibit frequent behavioral deficits in facial emotion recognition (FER). It remains unknown whether these deficits arise because facial emotion information is not encoded in their neural sig
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 7:6-9
For the natural and social interaction it is necessary to understand human behavior. Personality is one of the fundamental aspects, by which we can understand behavioral dispositions. It is evident that there is a strong correlation between users’
Autor:
Morena Danieli, Tommaso Ciulli, Mahed S. Mousavi, Giorgia Silvestri, Simone Barbato, Lorenzo Di Natale, Giuseppe Riccardi
BACKGROUND While mental health applications are increasingly available for large populations of users, there is a lack of controlled trials on the impact of such applications. An important population segment includes the senior adults. AI-empowered a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40b97678fbcbe9c790d727bce6dff3cc
https://doi.org/10.2196/preprints.38067
https://doi.org/10.2196/preprints.38067
Autor:
Seyed Mahed Mousavi, Gabriel Roccabruna, Aniruddha Tammewar, Steve Azzolin, Giuseppe Riccardi
Publikováno v:
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
Publikováno v:
JMIR Formative Research
Background Mobile apps for mental health are available on the market. Although they seem to be promising for improving the accessibility of mental health care, little is known about their acceptance, design methodology, evaluation, and integration in
Autor:
Juan Manuel, Mayor-Torres, Mirco, Ravanelli, Sara E, Medina-DeVilliers, Matthew D, Lerner, Giuseppe, Riccardi
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Machine learning methods, such as deep learning, show promising results in the medical domain. However, the lack of interpretability of these algorithms may hinder their applicability to medical decision support systems. This paper studies an interpr
Publikováno v:
Computer Speech & Language. 55:145-167
Overlapping speech is a natural and frequently occurring phenomenon in human–human conversations with an underlying purpose. Speech overlap events may be categorized as competitive and non-competitive. While the former is an attempt to grab the flo
BACKGROUND Mobile apps for mental health are available on the market. Although they seem to be promising for improving the accessibility of mental health care, little is known about their acceptance, design methodology, evaluation, and integration in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d823074e86357d382f42f862c71b5645
https://doi.org/10.2196/preprints.30053
https://doi.org/10.2196/preprints.30053