A Conceptual Framework for Data Sensemaking in Product Development—A Case Study

Abstract

The industry acknowledges the value of using data and digitalization approaches to improve their systems. However, companies struggle to use data effectively in product development. This paper presents a conceptual framework for Data Sensemaking in Product Development, exemplified through a case study of an Automated Parking System. The work is grounded in systems engineering, human centered-design, and data science theory. The resulting framework applies to practitioners and researchers in the early phase of product development. The framework combines conceptual models and data analytics, facilitating the range from human judgment and decision-making to verifications. The case study and feedback from several industrial actors suggest that the framework is valuable, usable, and feasible for more effective use of data in product development.

Conceptual modeling for Human Systems Integration in Manned-Unmanned Teaming

“…Additionally, how to get useful data insight for early phase development of their Human-Machine Interface. Future research combines modeling with human factor data by following a conceptual framework for data sensemaking (Langen et al, 2023).…”