English

Iterative Planning with Plan-Space Explanations: A Tool and User Study

Artificial Intelligence 2020-11-20 v1

Abstract

In a variety of application settings, the user preference for a planning task - the precise optimization objective - is difficult to elicit. One possible remedy is planning as an iterative process, allowing the user to iteratively refine and modify example plans. A key step to support such a process are explanations, answering user questions about the current plan. In particular, a relevant kind of question is "Why does the plan you suggest not satisfy pp?", where p is a plan property desirable to the user. Note that such a question pertains to plan space, i.e., the set of possible alternative plans. Adopting the recent approach to answer such questions in terms of plan-property dependencies, here we implement a tool and user interface for human-guided iterative planning including plan-space explanations. The tool runs in standard Web browsers, and provides simple user interfaces for both developers and users. We conduct a first user study, whose outcome indicates the usefulness of plan-property dependency explanations in iterative planning.

Keywords

Cite

@article{arxiv.2011.09705,
  title  = {Iterative Planning with Plan-Space Explanations: A Tool and User Study},
  author = {Rebecca Eifler and Jörg Hoffmann},
  journal= {arXiv preprint arXiv:2011.09705},
  year   = {2020}
}

Comments

Proceedings of the International Workshop of Explainable AI Planning (XAIP'20), at ICAPS'20

R2 v1 2026-06-23T20:21:53.533Z