Personalised self-explanation by robots : The role of goals versus beliefs in robot-action explanation for children and adults
conference paper
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. © 2017 IEEE. IEEE Robotics and Automation Society (RA); Institute of Electrical and Electronics Engineers (IEEE); Institute of Systems and Robotics - University of Coimbra; Korea Robotics Society (KROS); The Robotics Society of Japan (RSJ)
Topics
TNO Identifier
788533
ISBN
9781538635186
Publisher
Institute of Electrical and Electronics Engineers Inc.
Article nr.
8172376
Source title
26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017. 28 August 2017 through 1 September 2017
Pages
676-682
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