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Human-AI Collaboration to Promote Trust, Engagement and Adaptation in the Process of Pro-environmental and Health Behaviour Change

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Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) (UCAmI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 594))

Abstract

A necessary step in the digitalization of our environments is to include the users in the decision loop, following a more human-centric paradigm. Such an aproach will make their interactions with surrounding technology closer to them. Therefore, there is a recurrent need in contemporary technological solutions to create proposals to assist users in a way that is not exclusive to them and makes them feel integrated into the intelligent system. In fact, this is particularly relevant when the proposed technology or system aims to nudge users to form, shape, or change their daily behaviours. In essence, solutions designed for assisting users in that matter need to consider the inclusion of humans in the learning/decision loop and still the literature in the field is scarce. In this work, we identify and address three crucial human requirements that this technology has to integrate to promote a comfortable and long-term use of technology for the effective assistance of behaviour change: trust, engagement, and adaptation. Besides, we propose a collaborative workflow based on hybrid intelligent systems to cover the lack of human requirements and needs of traditional approaches. In essence, this work aims to shed light on how to promote closer collaboration between humans and intelligent agents for behaviour change under the principle that people should not be treated as mere users of technologies and services, but their behaviour should become one of the critical levers for designing and using technologies. That is, creating a closer interaction between these technologies and people.

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Acknowledgments

This work has been supported by grant IT1582-22 from Basque Government which recognizes DEUSTEK5 as an excellent research group under the Basque university system. Besides, we acknowledge the Ministry of Economy, Industry and Competitiveness of Spain for IoP, under Grant No.: PID2020-119682RB-I00. Finally, this work has been partially supported by the European Commission through the SOCIOBEE project Under Grant No.: 101037648.

Author information

Authors and Affiliations

  1. Deustotech - University of Deusto, Bilbao, Spain

    Maite Puerta-Beldarrain & Oihane Gómez-Carmona

  2. Faculty of Engineering - University of Deusto, Bilbao, Spain

    Diego Casado-Mansilla & Diego López-de-Ipiña

Authors
  1. Maite Puerta-Beldarrain
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  2. Oihane Gómez-Carmona
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  3. Diego Casado-Mansilla
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  4. Diego López-de-Ipiña
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Corresponding author

Correspondence to Maite Puerta-Beldarrain .

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Editors and Affiliations

  1. Castilla-La Mancha University, Ciudad Real, Spain

    José Bravo

  2. Computer Science Department, University of Chile, Santiago, Chile

    Sergio Ochoa

  3. CICESE, Ensenada, Mexico

    Jesús Favela

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Puerta-Beldarrain, M., Gómez-Carmona, O., Casado-Mansilla, D., López-de-Ipiña, D. (2023). Human-AI Collaboration to Promote Trust, Engagement and Adaptation in the Process of Pro-environmental and Health Behaviour Change. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_38

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