Modular UX Evaluation of a Cultural Narrative Feature in a Food Recommender System

Prayudi Utomo (1) , Annisa (1) , Taufik Djatna (2) , Firman Ardiansyah (1)
(1) Computer Science Study Program, School of Data Science, Mathematics, and Informatics, IPB University, Bogor, Indonesia,
(2) Postgraduate Program, Agro-Industrial Engineering, School of Engineering, IPB University Bogor 16680, Indonesia

Abstract

This study designs and evaluates a cultural narrative feature in a food recommender system to enhance emotional engagement and cultural relevance while preserving usability. The feature uses progressive disclosure and is implemented as a modular interface component that embeds local food stories within recommendation cards. Fifteen users participated in a task-based, triangulated UX evaluation (usability testing, heuristic evaluation, and thematic analysis). Although only 25% of participants interacted with the narrative element, those who did spent more than twice as long engaging with the content. Heuristic findings indicated issues in system-status visibility and visual transition, while thematic insights showed curiosity, emotional recall, and cultural identification. The results suggest that optional, contextual narratives can enrich recommender-system UX and can be integrated as maintainable modular components for iterative refinement

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Authors

Prayudi Utomo
prayudiutomo@apps.ipb.ac.id (Primary Contact)
Annisa
Taufik Djatna
Firman Ardiansyah
Modular UX Evaluation of a Cultural Narrative Feature in a Food Recommender System. (2025). Jurnal Ilmu Komputer Dan Agri-Informatika, 12(2), 189-199. https://doi.org/10.29244/jika.12.2.189-199

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How to Cite

Modular UX Evaluation of a Cultural Narrative Feature in a Food Recommender System. (2025). Jurnal Ilmu Komputer Dan Agri-Informatika, 12(2), 189-199. https://doi.org/10.29244/jika.12.2.189-199
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