Abstract
Within the domain of smart care homes, where the well-being of the elderly is of the utmost importance, this article introduces a novel strategy that combines an AI-enhanced task-planning system with a transformer-based framework. The objective is to implement telepresence robots in a cost-effective manner so as to enable autonomous and sophisticated healthcare services. This innovative methodology enables the dynamic generation and self-regulating adjustment of a wide array of robotic behaviors in light of new information that arises throughout interactions. Our research demonstrates that the predicted performance of these machines is predicted with an exceptional degree of accuracy exceeding 97%. The efficiency, significance, and user-friendliness of the system are emphasized in participant feedback, which strongly indicates that such robotic assistance should be utilized in the Smart Care Home environment in the future. The aforementioned favorable results are a consequence of the system’s diverse AI sub-components coordinating in a seamless fashion and its ability to swiftly adjust to changing interaction dynamics. The result underscores the potential of telepresence robotics to improve healthcare for the elderly in smart care homes.
Original language | English |
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Title of host publication | Human-Computer Interaction |
Subtitle of host publication | Thematic Area, HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, Proceedings, Part II |
Editors | Masaaki Kurosu, Ayako Hashizume |
Publisher | Springer, Cham |
Pages | 180-195 |
Number of pages | 16 |
Volume | 14685 |
ISBN (Electronic) | 9783031604126 |
ISBN (Print) | 9783031604119 |
DOIs | |
Publication status | Published - 2 Jun 2024 |
Event | 26th Human-Computer Interaction International Conference - Washington, United States Duration: 29 Jun 2024 → 4 Jul 2024 Conference number: 26 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 14685 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 26th Human-Computer Interaction International Conference |
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Abbreviated title | HCI 2024 |
Country/Territory | United States |
City | Washington |
Period | 29/06/24 → 4/07/24 |