RADAR-X: An Interactive Mixed Initiative Planning Interface Pairing Contrastive Explanations and Revised Plan Suggestions

Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Decision support systems seek to enable informed decision-making. In the recent years, automated planning techniques have been leveraged to empower such systems to better aid the human-in-the-loop. The central idea for such decision support systems is to augment the capabilities of the human-in-the-loop with automated planning techniques and enhance the quality of decision-making. In addition to providing planning support, effective decision support systems must be able to provide intuitive explanations based on specific user queries for proposed decisions to its end users. Using this as motivation, we present our decision support system RADAR-X that showcases the ability to engage the user in an interactive explanatory dialogue by first enabling them to specify an alternative to a proposed decision (which we refer to as foils), and then providing contrastive explanations to these user-specified foils which helps the user understand why a specific plan was chosen over the alternative (or foil). Furthermore, the system uses this dialogue to elicit the user's latent preferences and provides revised plan suggestions through three different interaction strategies.

Original languageEnglish (US)
Title of host publicationProceedings of the 32nd International Conference on Automated Planning and Scheduling, ICAPS 2022
EditorsAkshat Kumar, Sylvie Thiebaux, Pradeep Varakantham, William Yeoh
PublisherAssociation for the Advancement of Artificial Intelligence
Pages508-517
Number of pages10
ISBN (Electronic)9781577358749
DOIs
StatePublished - Jun 13 2022
Externally publishedYes
Event32nd International Conference on Automated Planning and Scheduling, ICAPS 2022 - Virtual, Online, Singapore
Duration: Jun 13 2022Jun 24 2022

Publication series

NameProceedings International Conference on Automated Planning and Scheduling, ICAPS
Volume32
ISSN (Print)2334-0835
ISSN (Electronic)2334-0843

Conference

Conference32nd International Conference on Automated Planning and Scheduling, ICAPS 2022
Country/TerritorySingapore
CityVirtual, Online
Period6/13/226/24/22

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management

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