Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: IJCAI-ECAI-18 Demonstration Track
Guest editors: Paul Weng
Article type: Research Article
Authors: Behnke, Gregora; * | Schiller, Marvina; c | Kraus, Matthiasb | Bercher, Pascala | Schmautz, Marioa | Dorna, Michaelc | Dambier, Michaelc | Minker, Wolfgangb | Glimm, Birtea | Biundo, Susannea
Affiliations: [a] Institute of Artificial Intelligence, Ulm University, Germany. E-mails: [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] | [b] Institute of Communications Engineering, Ulm University, Germany. E-mails: [email protected], [email protected] | [c] Corporate Research Sector, Robert Bosch GmbH, Renningen, Germany. E-mails: [email protected], [email protected], [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: We present the interactive assistant Robert that provides situation-adaptive support in the realisation of do-it-yourself (DIY) home improvement projects. Robert assists its users by providing comprehensive step-by-step instructions for completing the DIY project. Each instruction is illustrated with detailed graphics, written and spoken text, as well as with videos. They explain how the steps of the project have to be prepared and assembled and give precise instructions on how to operate the required electric devices. The step-by-step instructions are generated by a hierarchical planner, which enables Robert to adapt to a multitude of environments easily. Parts of the underlying model are derived from an ontology storing information about the available devices and resources. A dialogue manager capable of natural language interaction is responsible for hands-free interaction. We explain the required background technology and present preliminary results of an empirical evaluation.
Keywords: Companion-technology, digital assistant, planning-based assistance, knowledge representation
DOI: 10.3233/AIC-180604
Journal: AI Communications, vol. 32, no. 1, pp. 31-57, 2019
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]