Abstract
Automotive Human-Machine Interface (HMI) innovation faces a critical paradox: user-centred design in software-defined vehicles requires agility. However, this demand conflicts with the rigidity of manufacturing's stage-gate processes, resulting in a systemic challenge. This research delves into the complex issues of fragmented data practices and cross-functional collaboration in HMI design. A mixed- methods qualitative study within an automotive UX design department revealed barriers including varying data literacy, fragmentation, and silos. To address these challenges, the research introduces emerging technology - Business Intelligence (BI) System that enables real-time visualisation of data and facilitates seamless access across multidisciplinary teams by user insights dashboard, thereby bridging organisational silos. By combining structured data-driven approach with the Triple Diamond framework through a cognitive psychology lens, this study reveals that data serves different purposes throughout the Triple Diamond stages: inspiration (Discover), validation (Define), and evaluation (Deliver). This study enriches the theoretical understanding of data-driven design processes while offering a practical solution for agile collaborative innovation management in automotive HMI through collaboration tool innovation.
Keywords
Data-Driven Design; Automotive HMI; Cross-Functional Collaboration; Triple Diamond Framework
DOI
https://doi.org/10.21606/iasdr.2025.587
Citation
Liu, Z.(2025) Bridging Data Gaps in Automotive HMI: A Triple Diamond Framework for Data-Driven Design and Cross-Functional Collaboration through Interactive Dashboard, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.587
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 10 - Design Practices & Impacts
Bridging Data Gaps in Automotive HMI: A Triple Diamond Framework for Data-Driven Design and Cross-Functional Collaboration through Interactive Dashboard
Automotive Human-Machine Interface (HMI) innovation faces a critical paradox: user-centred design in software-defined vehicles requires agility. However, this demand conflicts with the rigidity of manufacturing's stage-gate processes, resulting in a systemic challenge. This research delves into the complex issues of fragmented data practices and cross-functional collaboration in HMI design. A mixed- methods qualitative study within an automotive UX design department revealed barriers including varying data literacy, fragmentation, and silos. To address these challenges, the research introduces emerging technology - Business Intelligence (BI) System that enables real-time visualisation of data and facilitates seamless access across multidisciplinary teams by user insights dashboard, thereby bridging organisational silos. By combining structured data-driven approach with the Triple Diamond framework through a cognitive psychology lens, this study reveals that data serves different purposes throughout the Triple Diamond stages: inspiration (Discover), validation (Define), and evaluation (Deliver). This study enriches the theoretical understanding of data-driven design processes while offering a practical solution for agile collaborative innovation management in automotive HMI through collaboration tool innovation.