Towards We-intentional Human-Robot Interaction using Theory of Mind and Hierarchical Task Network

Maitreyee, Michele Persiani

2021

Abstract

Joint activity between human and robot agent requires them to not only form joint intention and share a mutual understanding about it but also to determine their type of commitment. Such commitment types allows robot agent to select appropriate strategies based on what can be expected from others involved in performing the given joint activity. This work proposes an architecture embedding commitments as we-intentional modes in a belief-desire-intention (BDI) based Theory of Mind (ToM) model. Dialogue mediation gathers observations facilitating ToM to infer the joint activity and hierarchical task network (HTN) plans the execution. The work is ongoing and currently the proposed architecture is being implemented to be evaluated during human-robot interaction studies.

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Paper Citation


in Harvard Style

Maitreyee. and Persiani M. (2021). Towards We-intentional Human-Robot Interaction using Theory of Mind and Hierarchical Task Network. In Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications - Volume 1: Humanoid, ISBN 978-989-758-538-8, pages 291-299. DOI: 10.5220/0010722200003060


in Bibtex Style

@conference{humanoid21,
author={Maitreyee and Michele Persiani},
title={Towards We-intentional Human-Robot Interaction using Theory of Mind and Hierarchical Task Network},
booktitle={Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications - Volume 1: Humanoid,},
year={2021},
pages={291-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010722200003060},
isbn={978-989-758-538-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications - Volume 1: Humanoid,
TI - Towards We-intentional Human-Robot Interaction using Theory of Mind and Hierarchical Task Network
SN - 978-989-758-538-8
AU - Maitreyee.
AU - Persiani M.
PY - 2021
SP - 291
EP - 299
DO - 10.5220/0010722200003060