Toward Intelligent Telepresence Robotics for Enhancing Elderly Healthcare in Smart Care Home

Syed Hammad Hussain Shah, Abeer Badawy, Faisal Jamil, Tariq Alsboui, Ibrahim A. Hameed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationThematic 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
EditorsMasaaki Kurosu, Ayako Hashizume
PublisherSpringer, Cham
Pages180-195
Number of pages16
Volume14685
ISBN (Electronic)9783031604126
ISBN (Print)9783031604119
DOIs
Publication statusPublished - 2 Jun 2024
Event26th Human-Computer Interaction International Conference - Washington, United States
Duration: 29 Jun 20244 Jul 2024
Conference number: 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14685 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th Human-Computer Interaction International Conference
Abbreviated titleHCI 2024
Country/TerritoryUnited States
CityWashington
Period29/06/244/07/24

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