TY - JOUR
T1 - New developments for ROBERT - Assisting novice users even better in DIY projects
AU - Behnke, Gregor
AU - Bercher, Pascal
AU - Kraus, Matthias
AU - Schiller, Marvin
AU - Mickeleit, Kristof
AU - Häge, Timo
AU - Dorna, Michael
AU - Dambier, Michael
AU - Manstetten, Dietrich
AU - Minker, Wolfgang
AU - Glimm, Birte
AU - Biundo, Susanne
N1 - Publisher Copyright:
Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2020/5/29
Y1 - 2020/5/29
N2 - 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 assistance in the case of failure. Lastly, we present the results of an empirical study conducted to show ROBERT's effectiveness.
AB - 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 assistance in the case of failure. Lastly, we present the results of an empirical study conducted to show ROBERT's effectiveness.
UR - http://www.scopus.com/inward/record.url?scp=85088520573&partnerID=8YFLogxK
U2 - 10.1609/icaps.v30i1.6679
DO - 10.1609/icaps.v30i1.6679
M3 - Conference article
AN - SCOPUS:85088520573
SN - 2334-0835
VL - 30
SP - 343
EP - 347
JO - Proceedings International Conference on Automated Planning and Scheduling, ICAPS
JF - Proceedings International Conference on Automated Planning and Scheduling, ICAPS
T2 - 30th International Conference on Automated Planning and Scheduling, ICAPS 2020
Y2 - 26 October 2020 through 30 October 2020
ER -