3 research outputs found
Generating Instructions at Different Levels of Abstraction
When generating technical instructions, it is often convenient to describe
complex objects in the world at different levels of abstraction. A novice user
might need an object explained piece by piece, while for an expert, talking
about the complex object (e.g. a wall or railing) directly may be more succinct
and efficient. We show how to generate building instructions at different
levels of abstraction in Minecraft. We introduce the use of hierarchical
planning to this end, a method from AI planning which can capture the structure
of complex objects neatly. A crowdsourcing evaluation shows that the choice of
abstraction level matters to users, and that an abstraction strategy which
balances low-level and high-level object descriptions compares favorably to
ones which don't.Comment: Accepted COLING 2020 long pape
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 assistance in the case of failure. Lastly, we present the results of an empirical study conducted to show Robert's effectiveness