Advancing residents’ use of shared spaces in Nordic superblocks with intelligent technologies

Jouko Makkonen, Rita Latikka, Laura Kaukonen, Markus Laine, Kaisa Väänänen

Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

3 Sitaatiot (Scopus)
25 Lataukset (Pure)

Abstrakti

To support the sustainability of future cities, residents’ living spaces need to be built and used efficiently, while supporting residents’ communal wellbeing. Nordic superblock is a new planning, housing, and living concept in which residents of a neighborhood—a combination of city blocks—share yards, common spaces and utilities. Sharing living spaces is an essential element of this approach. In this study, our goal was to study the ways in which intelligent technology solutions—such as proactive, data-driven Artificial Intelligence (AI) applications—could support and even motivate the use of common areas in superblocks. To this end, we conducted a two-phase qualitative study: in the first phase, potential superblock residents (N = 12) shared their perspectives of sharing of living spaces in general, and more specifically of how intelligent technologies could support sharing spaces. In the second phase, two workshops with experts (N = 7) were held to gather understanding of possibilities of intelligent technologies in meeting the residents’ expectations of space sharing. The results illustrate space sharing and communality as supportive factors for one another, enabled but also complicated by social interaction. Major possibilities for intelligent technologies to advance space sharing were seen in organizing the use of spaces and facilitating social interaction in the community. As an outcome, four roles incorporating several use purposes of intelligent technologies were found. The findings can inform the Human-Centered AI (HCAI) research and design improving sustainable living in future urban neighborhoods.
AlkuperäiskieliEnglanti
Sivut11676-1184
JulkaisuAI & Society
Vuosikerta38
Numero3
Varhainen verkossa julkaisun päivämäärä2 jouluk. 2022
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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