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International Conference on User Modeling, Adaptation, and Personalization

UMAP 2015: User Modeling, Adaptation and Personalization pp 379–384Cite as

Modeling Motivational States Through Interpreting Physical Activity Data for Adaptive Robot Companions

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9146))

Abstract

This research aims to develop an adaptive human-robot interaction system that works with users over long periods of time to achieve a common goal that is beneficial to the user. The particular scenario I focus on is that of a robot companion interacting with adolescents, helping them succeed at achieving daily physical activity goals. To develop such a system, I propose a method of modeling the user’s motivational state and employing this model in order to adapt motivational strategies best suited for each user. The proposed system uses both physical activity data obtained from wearable sensors (such as wristband devices) and information acquired by the robot from its interaction partners.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Yale University, New Haven, CT, 06520, USA

    Elena Corina Grigore

Authors
  1. Elena Corina Grigore
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Corresponding author

Correspondence to Elena Corina Grigore .

Editor information

Editors and Affiliations

  1. Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Francesco Ricci

  2. University of Sheffield, Sheffield, United Kingdom

    Kalina Bontcheva

  3. Trinity College Dublin, Dublin, Ireland

    Owen Conlan

  4. Trinity College Dublin, Dublin, Ireland

    Séamus Lawless

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© 2015 Springer International Publishing Switzerland

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Grigore, E.C. (2015). Modeling Motivational States Through Interpreting Physical Activity Data for Adaptive Robot Companions. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds) User Modeling, Adaptation and Personalization. UMAP 2015. Lecture Notes in Computer Science(), vol 9146. Springer, Cham. https://doi.org/10.1007/978-3-319-20267-9_34

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  • DOI: https://doi.org/10.1007/978-3-319-20267-9_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20266-2

  • Online ISBN: 978-3-319-20267-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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