Leveraging Collective Intelligence from Crowdsourcing to Co-creation in Field Studies

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dc.contributor.authorHeyik, Muhammet Ali
dc.contributor.authorKaratas, Emre
dc.contributor.authorErdogan, Meral
dc.date.accessioned2024-09-29T16:12:25Z
dc.date.available2024-09-29T16:12:25Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description41st Conference on Education and Research in Computer Aided Architectural Design in Europe (ECAADE) -- SEP 18-23, 2023 -- Graz Univ Technol, Graz, AUSTRIAen_US
dc.description.abstractThe paper explores the advantages and forms of harnessing collective intelligence (CI) that can support cognition, coordination, and collaboration in architectural education. These forms focus on various design tasks by enhancing groups' performance, bringing together diverse actors within a distributed network, and strengthening the process through informed and inclusive decisions. Specifically, we propose a co-creation strategy to comprehensively map place values and rapidly scan the field. By incorporating the technical requirements and contextual constraints of various fields, we conducted iterative workshops within the action research circle. The results show that the CI approach yields significantly positive impacts, justifying its application through a functional triple structure that replaces individually challenging and frustrating fieldwork. This structure involves: (1) definition of parameters and tasks for groups based on objectives, (2) the collection and extraction of values from the field, and (3) the creation of collective cartographies. Additionally, our research makes a valuable contribution by providing a theoretical framework for diverse forms of CI, highlighting the advantages of crowdsourcing-based platforms in both urban and rural contexts, and evaluating the usability of tested mobile apps. We conclude the paper by discussing the limitations, adaptabilities, and potentials for the broader use of CI in the field studies of students.en_US
dc.description.sponsorshipYTU Scientific Research Projects Coordination Unit [FDK-2022-4867]en_US
dc.description.sponsorshipThe authors would like to acknowledge that this paper is submitted in partial fulfillment of the requirements for the PhD degree at Yildiz Technical University (YTU). This work has been supported by YTU Scientific Research Projects Coordination Unit under project number FDK-2022-4867.en_US
dc.identifier.endpage138en_US
dc.identifier.isbn978-9-4912-0734-1
dc.identifier.issn2684-1843
dc.identifier.startpage129en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8754
dc.identifier.wosWOS:001235623100013en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherEcaade-Education & Research Computer Aided Architectural Design Europeen_US
dc.relation.ispartofEcaade 2023 Digital Design Reconsidered, Vol 1en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCollective Intelligenceen_US
dc.subjectCo-creationen_US
dc.subjectField Studyen_US
dc.titleLeveraging Collective Intelligence from Crowdsourcing to Co-creation in Field Studiesen_US
dc.typeConference Objecten_US

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