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Mexican International Conference on Artificial Intelligence

MICAI 2021: Advances in Soft Computing pp 216–227Cite as

A Rapid HMI Prototyping Based on Personality Traits and AI for Social Connected Thermostats

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13068))

Abstract

Residential energy efficiency decreases electricity consumption and saves energy worldwide. Moreover, 86% of the residential buildings use thermostats that control the Heating, Ventilation, and Air-Conditioning (HVAC) system. The energy consumption can decrease from 11% to 18% due to user behavior modifications accompanied by strategies such as feedback and gamification. Social products use gamification features to interact with the end-user and other devices. However, tailored gamified Human-Machine Interfaces (HMI) must consider five personality traits. As a result, implementing Artificial Neural Networks (ANN) within the HMIs can classify the type of user and deploy a tailored strategy to save energy and promote behavioral changes. Thus, this paper shows a three-step framework to develop a rapid prototype using Arduino and MATLAB/Simulink to predict which type of gamified interface is needed depending on the personality traits.

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Acknowledgments

Research Project supported by Tecnologico de Monterrey and CITRIS under the collaboration ITESM-CITRIS Smart thermostat, deep learning, and gamification project (https://citris-uc.org/2019-itesm-seed-funding/).

Author information

Authors and Affiliations

  1. School of Engineering and Sciences, Tecnologico de Monterrey, México City, México

    Juana Isabel Méndez, Pedro Ponce, Marcel Pecina, Gustavo Schroeder & Arturo Molina

  2. Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX, USA

    Sergio Castellanos

  3. Institute for Energy and Environment, University of California, Berkeley, CA, 94720, USA

    Therese Peffer

  4. Energy and Efficiency Institute, University of California, Davis, CA, 95616, USA

    Alan Meier

Authors
  1. Juana Isabel Méndez
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  2. Pedro Ponce
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  3. Marcel Pecina
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  4. Gustavo Schroeder
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  5. Sergio Castellanos
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  6. Therese Peffer
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  7. Alan Meier
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  8. Arturo Molina
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Corresponding author

Correspondence to Juana Isabel Méndez .

Editor information

Editors and Affiliations

  1. Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

    Ildar Batyrshin

  2. Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

    Alexander Gelbukh

  3. Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

    Grigori Sidorov

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Méndez, J.I. et al. (2021). A Rapid HMI Prototyping Based on Personality Traits and AI for Social Connected Thermostats. In: Batyrshin, I., Gelbukh, A., Sidorov, G. (eds) Advances in Soft Computing. MICAI 2021. Lecture Notes in Computer Science(), vol 13068. Springer, Cham. https://doi.org/10.1007/978-3-030-89820-5_18

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  • DOI: https://doi.org/10.1007/978-3-030-89820-5_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89819-9

  • Online ISBN: 978-3-030-89820-5

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