Personalised Self-Explanation by Robots: The Role of Goals versus Beliefs in Robot-Action Explanation for Children and Adults

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

24 Citations (Scopus)

Abstract

A good explanation takes the user who is receiving the explanation into account. We aim to get a better understanding of user preferences and the differences between children and adults who receive explanations from a robot. We implemented a Nao-robot as a belief-desire-intention (BDI)-based agent and explained its actions using two different explanation styles. Both are based on how humans explain and justify their actions to each other. One explanation style communicates the beliefs that give context information on why the agent performed the action. The other explanation style communicates the goals that inform the user of the agent's desired state when performing the action. We conducted a user study (19 children, 19 adults) in which a Nao-robot performed actions to support type 1 diabetes mellitus management. We investigated the preference of children and adults for goalversus belief-based action explanations. From this, we learned that adults have a significantly higher tendency to prefer goal-based action explanations. This work is a necessary step in addressing the challenge of providing personalised explanations in human-robot and human-agent interaction.
Original languageEnglish
Title of host publication26th IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages676-682
Number of pages7
ISBN (Electronic)978-1-5386-3518-6
ISBN (Print)978-1-5386-3519-3
DOIs
Publication statusPublished - 2017
EventIEEE RO-MAN 2017: 26th IEEE International Symposium on Robot and Human Interactive Communication - Human-Robot Collaboration and Human Assistance for an Improved Quality of Life - Lisbon, Portugal
Duration: 28 Aug 20171 Sep 2017
Conference number: 26

Conference

ConferenceIEEE RO-MAN 2017
CountryPortugal
CityLisbon
Period28/08/171/09/17

Keywords

  • Robots
  • Psychology
  • Pediatrics
  • Diabetes
  • Intelligent systems
  • Games
  • Aging

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