Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Mark Neerincx"'
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Becoming a well-functioning team requires continuous collaborative learning by all team members. This is called co-learning, conceptualized in this paper as comprising two alternating iterative stages: partners adapting their behavior to the task and
Externí odkaz:
https://doaj.org/article/ecaa36ecf9de4493882aa2bce50003a9
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
As robots become more ubiquitous, they will increasingly need to behave as our team partners and smoothly adapt to the (adaptive) human team behaviors to establish successful patterns of collaboration over time. A substantial amount of adaptations pr
Externí odkaz:
https://doaj.org/article/c5929688767c4fc09488d88d71d8adf1
Autor:
Kat R. Agres, Rebecca S. Schaefer, Anja Volk, Susan van Hooren, Andre Holzapfel, Simone Dalla Bella, Meinard Müller, Martina de Witte, Dorien Herremans, Rafael Ramirez Melendez, Mark Neerincx, Sebastian Ruiz, David Meredith, Theo Dimitriadis, Wendy L. Magee
Publikováno v:
Music & Science, Vol 4 (2021)
The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop
Externí odkaz:
https://doaj.org/article/97a1b09f60fa4b5e8416a45c2427edce
Autor:
Olivier Blanson Henkemans, Geerte Paradies, Mark Neerincx, Rosemarijn Looije, Pepijn Emepelen, van
Publikováno v:
EAI Endorsed Transactions on Ambient Systems, Vol 2, Iss 7, Pp 1-8 (2015)
Despite its acknowledged benefits for health promotion, the full potential of persuasive technology is not (yet) reached in regard to usability, effectiveness, and reproducibility. It often lacks an effective combination of technical features and beh
Externí odkaz:
https://doaj.org/article/532ab8c37d74419cb01277093dbf551c
Publikováno v:
Ethics and Information Technology. 25
Publikováno v:
HRI 2023-Companion of the ACM/IEEE International Conference on Human-Robot Interaction
Assistive robots are expected to contribute to the solution of major societal problems in healthcare, such as the increasing number of elderly who need informal and professional care over a long period of time. Most of the research focuses on the dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a8f4fff832671aef4299048c700a342
http://resolver.tudelft.nl/uuid:b10a86f6-14f1-4117-9a3e-4828cc06d855
http://resolver.tudelft.nl/uuid:b10a86f6-14f1-4117-9a3e-4828cc06d855
Publikováno v:
Behavioral and Brain Sciences. 46
We outline two points of criticism. Firstly, we argue that robots do constitute a separate category of beings in people's minds rather than being mere depictions of non-robotic characters. Secondly, we find that (semi-)automatic processes underpinnin
Publikováno v:
PRIMA 2022: Principles and Practice of Multi-Agent Systems ISBN: 9783031212024
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc3d89b4ecb9fe6d0576a0a911af3c5b
https://doi.org/10.1007/978-3-031-21203-1_40
https://doi.org/10.1007/978-3-031-21203-1_40
Autor:
Maartje M. A. de Graaf, Giulia Perugia, Eduard Fosch-Villaronga, Angelica Lim, Frank Broz, Elaine Schaertl Short, Mark Neerincx
Publikováno v:
2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 1247-1249
STARTPAGE=1247;ENDPAGE=1249;TITLE=2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
STARTPAGE=1247;ENDPAGE=1249;TITLE=2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Discrimination and bias are pressing issues of many AI and robotics applications. These outcomes may derive from limited datasets that do not fully represent society as a whole or from the AI scientific community's western-male configuration bias. Al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77b4f1ff3038dd7a87e886ed76e0bafb
https://doi.org/10.1109/HRI53351.2022.9889455
https://doi.org/10.1109/HRI53351.2022.9889455
Publikováno v:
PeerJ, 10
PeerJ, 10:e13824. PeerJ
PeerJ, 10:e13824. PeerJ
BackgroundDespite their increasing prevalence and potential, eHealth applications for behavior change suffer from a lack of adherence and from dropout. Advances in virtual coach technology provide new opportunities to improve this. However, these app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4187dc9b444bbb7947926f8714ed9b99
http://resolver.tudelft.nl/uuid:7c17d449-9d0f-4eaa-9668-199eefea0eb9
http://resolver.tudelft.nl/uuid:7c17d449-9d0f-4eaa-9668-199eefea0eb9