MIRIAM: A Multimodal Interface for Explaining the Reasoning Behind Actions of Remote Autonomous Systems

Helen Hastie, Francisco Javier Chiyah Garcia, David Robb, Atanas Laskov, Pedro Patron

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

Abstract / Description of output

Autonomous systems in remote locations have a high degree of autonomy and there is a need to explain what they are doing and why, in order to increase transparency and maintain trust. This is particularly important in hazardous, high-risk scenarios. Here, we describe a multimodal interface, MIRIAM, that enables remote vehicle behaviour to be queried by the user, along with mission and vehicle status. These explanations, as part of the multimodal interface, help improve the operator's mental model of what the vehicle can and can't do, increase transparency and assist with operator training.
Original languageEnglish
Title of host publicationICMI '18 Proceedings of the 20th ACM International Conference on Multimodal Interaction
Place of PublicationUnited States
PublisherACM Association for Computing Machinery
Pages557-558
Number of pages2
ISBN (Print)9781450356923
DOIs
Publication statusPublished - 1 Oct 2018
Event20th ACM International Conference on Multimodal Interaction - Boulder, United States
Duration: 16 Oct 201820 Oct 2018
https://icmi.acm.org/2018/

Conference

Conference20th ACM International Conference on Multimodal Interaction
Abbreviated titleICMI 2018
Country/TerritoryUnited States
CityBoulder
Period16/10/1820/10/18
Internet address

Keywords / Materials (for Non-textual outputs)

  • natural language generation
  • autonomous systems
  • transparency
  • explainable ai
  • Multimodal output
  • trust

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