Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Bahar, Irfan"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Companion robots are aimed to mitigate loneliness and social isolation among older adults by providing social and emotional support in their everyday lives. However, older adults’ expectations of conversational companionship might substantially dif
Externí odkaz:
https://doaj.org/article/d3c72cd389ef4013b53ca6decd351728
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
While earlier research in human-robot interaction pre-dominantly uses rule-based architectures for natural language interaction, these approaches are not flexible enough for long-term interactions in the real world due to the large variation in user
Externí odkaz:
https://doaj.org/article/90efe248946f41cabf13c99ced1f17d0
Autor:
Nathalia Céspedes, Bahar Irfan, Emmanuel Senft, Carlos A. Cifuentes, Luisa F. Gutierrez, Mónica Rincon-Roncancio, Tony Belpaeme, Marcela Múnera
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
What are the benefits of using a socially assistive robot for long-term cardiac rehabilitation? To answer this question we designed and conducted a real-world long-term study, in collaboration with medical specialists, at the Fundación Cardioinfanti
Externí odkaz:
https://doaj.org/article/22605aaf8b9c4b72973af08fe3826a91
This work aims to provide initial guidelines towards developing companion robots with large language models (LLMs) to be part of everyday lives of older adults. Using iterative participatory design (co-design) approaches, we analyze the challenges of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0681c0a5877c92bf095748aac7c375ed
https://doi.org/10.21203/rs.3.rs-2884789/v1
https://doi.org/10.21203/rs.3.rs-2884789/v1
Publikováno v:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Autor:
Donald McMillan, Razan Jaber, Benjamin R. Cowan, Joel E. Fischer, Bahar Irfan, Ronald Cumbal, Nima Zargham, Minha Lee
Publikováno v:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Publikováno v:
ACM Transactions on Human-Robot Interaction. 11:1-50
User identification is an essential step in creating a personalised long-term interaction with robots. This requires learning the users continuously and incrementally, possibly starting from a state without any known user. In this article, we describ
Publikováno v:
2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
Autor:
Aditi Ramachandran, Sinan Kalkan, Bahar Irfan, German Ignacio Parisi, Samuel Spaulding, Hatice Gunes
Publikováno v:
HRI (Companion)
While most of the research in Human-Robot Interaction (HRI) focuses on short-term interactions, long-term interactions require bolder developments and a substantial amount of resources, especially if the robots are deployed in the wild. Robots need t