AI-Supported EUD for Data Visualization: An Exploratory Case Study

Sara Beschi, Daniela Fogli (), Luigi Gargioni and Angela Locoro
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Sara Beschi: Department of Economics and Management, University of Brescia, 25121 Brescia, Italy
Daniela Fogli: Department of Information Engineering, University of Brescia, 25123 Brescia, Italy
Luigi Gargioni: Department of Information Engineering, University of Brescia, 25123 Brescia, Italy
Angela Locoro: Department of Economics and Management, University of Brescia, 25121 Brescia, Italy

Future Internet, 2025, vol. 17, issue 8, 1-23

Abstract: Data visualization is a key activity in data-driven decision making and is gaining momentum in many organizational contexts. However, the role and contribution of both end-user development (EUD) and artificial intelligence (AI) technologies for data visualization and analytics are still not clear or systematically studied. This work investigates how effectively AI-supported EUD tools may assist visual analytics tasks in organizations. An exploratory case study with eight interviews with key informants allowed a deep understanding of data analysis and visualization practices in a large Italian company. It aimed at identifying the various professional roles and competencies necessary in the business context, understanding the data sources and data formats exploited in daily activities, and formulating suitable hypotheses to guide the design of AI-supported EUD tools for data analysis and visualization. In particular, the results of interviews with key informants yielded the development of a prototype of an LLM-based EUD environment, which was then used with selected target users to collect their opinions and expectations about this type of intervention in their work practice and organization. All the data collected during the exploratory case study finally led to defining a set of design guidelines for AI-supported EUD for data visualization.

Keywords: end-user development; data visualization routines; human–AI interaction; case study research (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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