Search Results for author:
Found 11 papers, 3 papers with code
Everyday Living Artificial Intelligence Hub
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.
A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge
A lack of functioning may lead to poor living conditions requiring personal care and assistance.
What We Know So Far: Artificial Intelligence in African Healthcare
Healthcare in Africa is a complex issue influenced by many factors including poverty, lack of infrastructure, and inadequate funding.
Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets
We observe that both frameworks have similar inter-annotator agreements, despite having different numbers of sense types (8 for Quirk and 3 for Palmer).
SIERRA: A Modular Framework for Research Automation and Reproducibility
SIERRA improves reproducibility of research by providing automation independent of the execution environment (HPC hardware, real robots, etc.)
SIERRA: A Modular Framework for Research Automation
Modern intelligent systems researchers employ the scientific method: they form hypotheses about system behavior, and then run experiments using one or more independent variables to test their hypotheses.
Conversational Agent for Daily Living Assessment Coaching Demo
Conversational Agent for Daily Living Assessment Coaching (CADLAC) is a multi-modal conversational agent system designed to impersonate {``}individuals{''} with various levels of ability in activities of daily living (ADLs: e. g., dressing, bathing, mobility, etc.)
Artificial Intelligence & Cooperation
There is a vital need for research in "AI and Cooperation" that seeks to understand the ways in which systems of AIs and systems of AIs with people can engender cooperative behavior.
Maximizing Energy Battery Efficiency in Swarm Robotics
Miniaturization and cost, two of the main attractive factors of swarm robotics, have motivated its use as a solution in object collecting tasks, search & rescue missions, and other applications.
Multiagent Systems Robotics
Socially Inspired Communication in Swarm Robotics
Localized communication in swarms has been shown to increase swarm effectiveness in some situations by allowing for additional opportunities for cooperation.
Robotics
Evaluating Older Users' Experiences with Commercial Dialogue Systems: Implications for Future Design and Development
Understanding the needs of a variety of distinct user groups is vital in designing effective, desirable dialogue systems that will be adopted by the largest possible segment of the population.
