Beyond the Screen: Understanding How Predictive Dashboards Shape and Reflect Industrial Work: Investigating the Role of Predictive Maintenance Dashboards in Everyday Industrial Decision-Making
Translated title
Beyond the Screen: Understanding How Predictive Dashboards Shape and Reflect Industrial Work
Author
Ahmed, Shakil
Term
4. term
Education
Publication year
2025
Submitted on
2025-05-27
Pages
51
Abstract
This thesis explores how industrial users adopt and make sense of predictive maintenance (PdM) dashboards—digital displays that show equipment health and forecast failures. It integrates perspectives from Human–Computer Interaction (HCI), Technology Acceptance Model 2 (TAM2), and the TPOM framework to understand how people accept and use technology in real workplaces. Drawing on document analysis and user surveys, the study applies Braun and Clarke’s thematic analysis to identify patterns in the data. Three themes stand out: cross-context usability, perceived usefulness, and organizational embedding. Findings show that even well-engineered dashboards can face resistance or be misinterpreted when they do not align with users’ cognition, everyday routines, or institutional culture. By framing PdM dashboards as techno-anthropological artifacts—tools that are shaped by and shape human practices—the thesis offers practical guidance for designing digital tools that are more inclusive, interpretable, and adaptable. The work contributes to human-centered industrial analytics and underscores the socio-technical conditions needed for meaningful digital transformation.
Denne afhandling undersøger, hvordan industrielle brugere tager predictive maintenance (PdM) dashboards i brug og forstår dem. PdM-dashboards er digitale visninger, der viser maskiners tilstand og forudsiger fejl. Studiet kombinerer perspektiver fra Human–Computer Interaction (HCI), Technology Acceptance Model 2 (TAM2) og TPOM-rammen for at belyse, hvordan mennesker accepterer og anvender ny teknologi i praksis. Med udgangspunkt i dokumentanalyse og brugerundersøgelser anvendes Braun og Clarkes tematiske analyse til at identificere mønstre i data. Analysen peger på tre nøgletemaer: brugbarhed på tværs af kontekster, oplevet nytte og organisatorisk forankring. Resultaterne viser, at selv velkonstruerede dashboards kan møde modstand eller blive misforstået, hvis de ikke passer til brugernes kognition, arbejdsrutiner eller den institutionelle kultur. Ved at betragte PdM-dashboards som techno-antropologiske artefakter—værktøjer der både formes af og former menneskelige praksisser—giver afhandlingen praktiske anbefalinger til at designe mere inkluderende, lettere at tolke og mere tilpasningsdygtige digitale værktøjer. Arbejdet bidrager til den voksende dagsorden om menneskecentrerede industrielle analyser og peger på de socio-tekniske forudsætninger, der skal være på plads for en meningsfuld digital omstilling.
[This apstract has been rewritten with the help of AI based on the project's original abstract]