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of 9
pro vyhledávání: '"Jose L. Part"'
Autor:
Weronika Sieińska, Nancie Gunson, Christian Dondrup, Jose L. Part, Yanchao Yu, Daniel Hernández García, Oliver Lemon
Publikováno v:
ICMI
Proceedings of the 2021 International Conference on Multimodal Interaction
Proceedings of the 2021 International Conference on Multimodal Interaction
We will demonstrate a prototype multimodal conversational AI system that will act as a receptionist in a hospital waiting room, combining visually-grounded dialogue with social conversation. The system supports visual object conversation in the waiti
Autor:
Jose L. Part, Yanchao Yu, Christian Dondrup, Nancie Gunson, Weronika Sieińska, Daniel Hernández García, Oliver Lemon
Publikováno v:
GoodIT
Covid-19 has brought with it an onslaught of information for the public, some true and some false, across virtually every platform. For an individual, the task of sifting through the deluge for reliable, accurate facts is significant and potentially
Publikováno v:
Neural Networks. 113:54-71
Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is mediated by a rich set of neurocognitive mechanisms that together c
Autor:
Gnanathusharan Rajendran, Jose L. Part, Mei Yii Lim, Ingo Keller, Ruth Aylett, Frank Broz, Peter Edward McKenna
Publikováno v:
HRI (Companion)
Here, we present a novel experiment on the yet unstudied phenomenon of ASC adults' responses to interruption, using a robot role-play clerical task. Using an IQ, gender, and task parameter matched NT control sample, we found that adults with ASC expe
Autor:
Jose L. Part, Oliver Lemon
Publikováno v:
IROS
The ability to acquire knowledge incrementally and after deployment is of utmost importance for robots operating in the real world. Moreover, robots that have to operate alongside people need to be able to interact in a way that is intuitive for the
Autor:
Jose L. Part, Oliver Lemon
Publikováno v:
ICDL-EPIROB
The ability of an object classifier to adapt to new data and incorporate new classes on the fly is of paramount importance for robots operating in the real world. This paper presents an approach for incremental online learning of real-world objects t
Autor:
Oliver Lemon, Jose L. Part
Publikováno v:
IJCAI
Heriot-Watt University
Heriot-Watt University
The ability to quickly adapt to new environments and incorporate new knowledge is of great importance for robots operating in unstructured environments and interacting with non-expert users. This paper reports on our current progress in tackling this
Publikováno v:
BCS HCI
In this paper, we present the design, implementation and evaluation of a simple and user-friendly interface for a home automation system. Our approach is based on speech; given that this allows a more natural way of interacting with the system. The u
Autor:
Jose L. Part, Christian Dondrup, Yanchao Yu, Daniel Hernández García, Oliver Lemon, Nancie Gunson
Publikováno v:
Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
HRI (Companion)
HRI (Companion)
The goal of the EU H2020-ICT funded SPRING project is to develop a socially pertinent robot to carry out tasks in a gerontological healthcare unit. In this context, being able to perceive its environment and have coherent and relevant conversations a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3c6233735f835670c58c5089bf13338