Humanized computing for higher collaboration and reciprocal learning between machines and people

  1. López-de-Ipiña, Diego 1
  2. Casado-Mansilla, Diego 1
  3. Puerta-Beldarrain, Maite 1
  4. Gómez-Carmona, Oihane 1
  1. 1 Universidad de Deusto
    info

    Universidad de Deusto

    Bilbao, España

    ROR https://ror.org/00ne6sr39

Journal:
Revista internacional de los estudios vascos = Eusko ikaskuntzen nazioarteko aldizkaria = Revue internationale des ètudes basques = International journal on Basque studies, RIEV

ISSN: 0212-7016

Year of publication: 2023

Volume: 68

Issue: 2

Pages: 71-80

Type: Article

DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista internacional de los estudios vascos = Eusko ikaskuntzen nazioarteko aldizkaria = Revue internationale des ètudes basques = International journal on Basque studies, RIEV

Abstract

This work explores two sociotechnical approaches to realize smart communities which adopt digital technologies to achieve a higher collaboration where reciprocal learning between machines and people is possible. On one hand, co-production promotes behaviour change by empowering citizens in the co-design and co-delivery process, designing user-centric solutions, leveraging local knowledge, fostering collaboration, and facilitating capacity building. On the other hand, citizen science can inspire and enable behavioural change that leads to more sustainable, responsible, and community-oriented actions by promoting awareness, empowering the community, and facilitating collaboration. This work argues that these two approaches can help us progressing towards a new generation of computing that includes humans always in the loop, namely Humanized Computing

Data source: Dialnet