Designing for Variability: From Stable Assumptions to Adaptive Digital Systems
Related Experiment Video
Updated: Oct 31, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
Published on: October 17, 2025
Eva de Lera1, Otilia Kocsis1, Reyes Fernández Medina1
1Raising the Floor, 1210 Brussels, Belgium.
Abstract:
Digital systems are almost universally designed under the assumption of environmental and user ability stability, often being built for the "ideal" user. Yet, the reality of everyday interaction often using multiple devices (desktop and mobile) is a chaotic mix of needs and abilities, disruption, multitasking, and shifting constraints, emotions and situations. System failure during these moments of friction reveals fundamental misalignment between design theory and the lived experience of the user. In this paper, we argue for a paradigm shift from designing for the assumption of capacity and stability, to designing for the reality of all users, their diversity and variability, and the dynamic real-life contexts. Instead of treating accessibility and inclusion as a secondary compliance measure, we position shifting variability as the core condition of design. We argue that by designing for a "variable" user, we inherently create an inclusive system. To operationalize this perspective, we integrate a set of variability-oriented design principles into the Unique Centered Design (U*CD) framework, a practical toolkit that helps design teams identify potential functional mismatches and anticipate exclusionary design decisions early in the development process. The usability of the proposed framework is assessed in a game design case study, which is conceived as a multi-stakeholder semi-automated co-creation process. The use case demonstrates how the toolkit stimulates discussion and supports comprehension around user variability and encourages design of games that reflect social and cultural diversity.
Related Concept Videos
Control Systems
At the heart...
Feedback control systems
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Transient and Steady-state Response
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state response.
Multi-input and Multi-variable systems
In the absence of...
Classification of Systems-II
Propagation of Uncertainty from Systematic Error
