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Permanent record · RIR–2086

Evaluating User Engagement and Accessibility in Digital Latinx Oral History Archive Projects

This research examines the design and accessibility of digital archives dedicated to Latinx oral histories. It proposes a study to assess how digital interface design influences user engagement and historical interpretation.

Open to researchQualified 82/100P4 provenance
Primary research question

How do digital interface design choices impact user engagement with Latinx oral history archives?

Knowledge gap

What remains worth asking

It remains useful to test how specific digital curation strategies influence the accessibility and educational impact of oral history collections.

Potential contribution

Why it may matter

This study will help archivists and digital humanists optimize platforms for broader community engagement and historical preservation.

Academic placement

OECD fields and topic tags

Digital HumanitiesHistoryInformation Science

Scope: Digital archives of Latinx oral histories in North America. · Method signals: User testing, Content analysis, Survey research

Possible study pathways

One question, different levels

Postgraduate diploma

Digital curation and archive management

Research master’s

Human-computer interaction in cultural heritage

originalityModerate
methodologyAccessible
Data accessAccessible
ethicsModerate

Qualification signal

82/100

  • Focus on user-centered design principles
  • Consider ethical representation of oral narratives
  • Open-access scholarly source and DOI metadata verified

Provenance

Research Idea Registry curation

  • DOI and bibliographic metadata independently resolved
  • Open-access status verified
  • The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.

APA 7 source

Aubry, S. (2024). Review: Northern Illinois University Latinx Oral History Digital Project. Reviews in Digital Humanities, V(1). https://doi.org/10.21428/3e88f64f.ea7bb8ba

Paper abstract and discussion context; AI-inferred direction

Open source ↗