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Making (common) sense of Urban Digital Twins with Q methodology.

Design of the user interface for “Stappy”, a sensorfeedback system to facilitate walking in people after stroke

Introduction: Sensor-feedback systems can be used to support people after stroke during independent practice of gait. The main aim of the study was to describe the user-centred approach to (re)design the user interface of the sensor feedback system “Stappy” for people after stroke, and share the deliverables and key observations from this process. Methods: The user-centred approach was structured around four phases (the discovery, definition, development and delivery phase) which were fundamental to the design process. Fifteen participants with cognitive and/or physical limitations participated (10 women, 2/3 older than 65). Prototypes were evaluated in multiple test rounds, consisting of 2–7 individual test sessions. Results: Seven deliverables were created: a list of design requirements, a personae, a user flow, a low-, medium- and high-fidelity prototype and the character “Stappy”. The first six deliverables were necessary tools to design the user interface, whereas the character was a solution resulting from this design process. Key observations related to “readability and contrast of visual information”, “understanding and remembering information”, “physical limitations” were confirmed by and “empathy” was additionally derived from the design process. Conclusions: The study offers a structured methodology resulting in deliverables and key observations, which can be used to (re)design meaningful user interfaces for people after stroke. Additionally, the study provides a technique that may promote “empathy” through the creation of the character Stappy. The description may provide guidance for health care professionals, researchers or designers in future user interface design projects in which existing products are redesigned for people after stroke.

(FINAL VERSION) A Novel Way of Navigating Through The Early Stages

Innovating physical products can be seen as systems engineering at a higher abstraction level. It spans multiple domains and focuses not on developing the product, but realising the complete innovation. In our new approach, we focus on the four most important domains of physical product innovation: market, technology, production and business. Technology Innovation Processes (TIP) is a newly developed, flexible and pragmatic data-informed decision approach that helps innovation managers to navigate through the early stages of a blue-ocean innovation process, where not much is known.