Reference : Collaborative Explanation and Response in Assisted Living Environments Enhanced with ...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/26417
Collaborative Explanation and Response in Assisted Living Environments Enhanced with Humanoid Robots
English
bikakis, Antonis [> >]
Caire, Patrice [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
clark, keith [> >]
Cornelius, Gary Philippe [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
ma, jiefei [> >]
miller, rob [> >]
russo, alessandra [> >]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
2016
8th International Conference on Agents and Artificial Intelligence, ICAART, Rome, Italy, 2016
Yes
978-989-758-172-4
8th International Conference on Agents and Artificial Intelligence
February 24 - 26, 2016
Rome
Italy
[en] service robots ; social robotics ; distributed reasoning
[en] An ageing population with increased social care needs has provided recent impetus for research into assisted living technologies, as the need for different approaches to providing supportive environments for senior citi- zens becomes paramount. Ambient intelligence (AmI) systems are already contributing to this endeavour. A key feature of future AmI systems will be the ability to identify causes and explanations for changes to the environment, in order to react appropriately. We identify some of the challenges that arise in this respect, and argue that an iterative and distributed approach to explanation generation is required, interleaved with di- rected data gathering. We further argue that this can be realised by developing and combining state-of-the art techniques in automated distributed reasoning, activity recognition, robotics, and knowledge-based control.
http://hdl.handle.net/10993/26417

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