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Poster communications

Implementing an implicit false belief task by cascading situation assessment with UNDERWORLDS

Yoan Sallami 1 Séverin Lemaignan 2 Aurélie Clodic 3 Rachid Alami 1
1 LAAS-RIS - Équipe Robotique et InteractionS
LAAS - Laboratoire d'analyse et d'architecture des systèmes
3 LAAS-IDEA - Service Informatique : Développement, Exploitation et Assistance
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : Theory of Mind, how we understand others mental states, have been well studied in psychology. Recently it has been used for human robot collaboration because understanding others intentions and beliefs is a key capability for robots in order to interact with humans. However, inferring and reasoning about mental states during a Human-Robot interaction remains difficult. We present here how we apply Theory of Mind by implementing an implicit false belief task with UNDERWORLDS. In this task we explicitly maintain alternative world states associated to the beliefs of the humans and we show the interest of this approach.
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https://hal.archives-ouvertes.fr/hal-02925962
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Submitted on : Monday, August 31, 2020 - 11:01:56 AM
Last modification on : Wednesday, October 21, 2020 - 2:22:39 PM
Long-term archiving on: : Tuesday, December 1, 2020 - 12:15:25 PM

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Yoan Sallami, Séverin Lemaignan, Aurélie Clodic, Rachid Alami. Implementing an implicit false belief task by cascading situation assessment with UNDERWORLDS. Workshop "toward a Framework for Joint Action" at Robotics Science and Systems (RSS 2018), Jun 2018, Pittsburg, United States. 2018. ⟨hal-02925962⟩

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