Exploring ways to collaborate with AI in addressing challenges in digital crowdsourced heritage projects
Year: 2026
Type: article
Abstract: This study aims to explore ways to collaborate with AI to address challenges in digital crowdsourced heritage projects. To identify challenges and find out potential ways for collaboration with AI, all stakeholders and their process need to be understood well. Therefore, extensive user research is done including interviews with librarians based in cultural institutions and with individual organisers who take part in organising digital crowdsourced projects, an online questionnaire and focus group research with contributors to crowdsourced heritage projects. An in-depth exploration of the process of digital crowdsourced heritage projects is conducted both by cultural institutions and by individual organisers via online interviews. Current issues such as sustainability, content-related challenges (quality, relevance, verification, metadata), and contributors’ motivation. Online questionnaire and focus group research with contributors to digital crowdsourced heritage projects help me understand their behaviours and motivations for participating in such projects, the challenges they face while contributing, and the activities they would like AI support for. This poster aims to present the outcomes and analysis of all the interviews, the onlinequestionnaire, and the focus group study, identifying the problem areas and suggesting and outlining intended collaboration with AI to address these challenges.
Author: YELMI, PINAR
Institution: University of Leeds
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7203692011
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