Everyday Living Artificial Intelligence Hub

Raymond Finzel, Esha Singh, Martin Michalowski, Maria Gini, Serguei Pakhomov


Abstract
We present the Everyday Living Artificial Intelligence (AI) Hub, a novel proof-of-concept framework for enhancing human health and wellbeing via a combination of tailored wear-able and Conversational Agent (CA) solutions for non-invasive monitoring of physiological signals, assessment of behaviors through unobtrusive wearable devices, and the provision of personalized interventions to reduce stress and anxiety. We utilize recent advancements and industry standards in the Internet of Things (IoT)and AI technologies to develop this proof-of-concept framework.
Anthology ID:
2021.dash-1.15
Volume:
Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances
Month:
June
Year:
2021
Address:
Online
Venues:
DaSH | NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
102–104
Language:
URL:
https://aclanthology.org/2021.dash-1.15
DOI:
10.18653/v1/2021.dash-1.15
Bibkey:
Cite (ACL):
Raymond Finzel, Esha Singh, Martin Michalowski, Maria Gini, and Serguei Pakhomov. 2021. Everyday Living Artificial Intelligence Hub. In Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances, pages 102–104, Online. Association for Computational Linguistics.
Cite (Informal):
Everyday Living Artificial Intelligence Hub (Finzel et al., DaSH 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.dash-1.15.pdf