New developments for Robert – assisting novice users even better in DIY projects

  • Do-It-Yourself (DIY) home improvement projects require a combination of specific knowledge and practical abilities. Novice users often lack both and thus tend to fail or be frightful of performing DIY projects – even though they would like to. By providing suitable and individualised assistance in the form of step-by-step instructions, the assistant Robert allows even novice users to successfully complete their DIY projects. Simultaneously, Robert allows its users to learn how to perform these steps themselves and thus enables them to become more independent in the future. In this paper, we report on the latest progress with Robert. Compared to earlier versions, Robert is now able to adaptively change its instructions based on the wishes and preferences of the user. Further, Robert is now able to use connected tools – i.e. tools that are able to sense and communicate their status – to check whether the user is performing the project's steps correctly and to provide further assistanceDo-It-Yourself (DIY) home improvement projects require a combination of specific knowledge and practical abilities. Novice users often lack both and thus tend to fail or be frightful of performing DIY projects – even though they would like to. By providing suitable and individualised assistance in the form of step-by-step instructions, the assistant Robert allows even novice users to successfully complete their DIY projects. Simultaneously, Robert allows its users to learn how to perform these steps themselves and thus enables them to become more independent in the future. In this paper, we report on the latest progress with Robert. Compared to earlier versions, Robert is now able to adaptively change its instructions based on the wishes and preferences of the user. Further, Robert is now able to use connected tools – i.e. tools that are able to sense and communicate their status – to check whether the user is performing the project's steps correctly and to provide further assistance in the case of failure. Lastly, we present the results of an empirical study conducted to show Robert's effectiveness.show moreshow less

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Metadaten
Author:Gregor Behnke, Pascal Bercher, Matthias KrausORCiDGND, Marvin Schiller, Kristof Mickeleit, Timo Häge, Michael Dorna, Michael Dambier, Dietrich Manstetten, Wolfgang Minker, Birte Glimm, Susanne Biundo
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/101361
ISBN:978-1-57735-824-4OPAC
ISSN:2334-0843OPAC
ISSN:2334-0835OPAC
Parent Title (English):Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 26-30 October 2020, Nancy, France
Publisher:Association for the Advancement of Artificial Intelligence (AAAI)
Place of publication:Palo Alto, CA
Editor:J. Christopher Beck, Olivier Buffet, Jörg Hoffmann, Erez Karpas, Shirin Sohrabi
Type:Conference Proceeding
Language:English
Year of first Publication:2020
Release Date:2023/01/30
First Page:343
Last Page:347
Series:Proceedings of the International Conference on Automated Planning and Scheduling ; 30
DOI:https://doi.org/10.1609/icaps.v30i1.6679
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik