Natural Language Interaction to Facilitate Mental Models of Remote Robots

Francisco Javier Chiyah Garcia, José Lopes, Helen Hastie

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

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Increasingly complex and autonomous robots are being deployed in real-world environments with far-reaching consequences. High-stakes scenarios, such as emergency response or offshore energy platform and nuclear inspections, require robot operators to have clear mental models of what the robots can and can't do. However, operators are often not the original designers of the robots and thus, they do not necessarily have such clear mental models, especially if they are novice users. This lack of mental model clarity can slow adoption and can negatively impact human-machine teaming. We propose that interaction with a conversational assistant, who acts as a mediator, can help the user with understanding the functionality of remote robots and increase transparency through natural language explanations, as well as facilitate the evaluation of operators' mental models.
Original languageEnglish
Title of host publicationWorkshop on Mental Models of Robots at HRI'20
PublisherAssociation for Computing Machinery
Publication statusPublished - 23 Mar 2020
EventMental Models of Robots Workshop 2020 - Cambridge, United Kingdom
Duration: 23 Mar 202023 Mar 2020


WorkshopMental Models of Robots Workshop 2020
Country/TerritoryUnited Kingdom


  • cs.HC
  • cs.AI


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