This paper introduces a novel methodology for user interface prototyping of Mixed Reality applications for a dynamic motion context, namely race cycling. During lab sessions participants prototyped information provisioning in 3D-space. Their choices reflected a trade-off between cost to visual-field real estate and personal value of elected information. Information type, purpose, representation, location, size, and colour were analysed across participants. Participants preferred similar information positioning in the two investigated scenarios (descent, ascent) but included different types of information in each scenario. Heatmap visualisations revealed six preferred visual-field segments, highlighting the amount and types of information as well as segments kept empty. Balanced mock-ups of optimal layouts for descent and ascent are presented. Besides presenting a methodology for both data collection and processing - that is generally applicable by usability researchers both within and outside sports - this study provides specific insights for designers of user interfaces in road race cycling.

Road cycling presents a more challenging use case for Mixed Reality interface design. Smart glasses can facilitate decision making by placing information in context, yet prototyping in-situ is challenging. While low-fidelity studies offer observational insights, positional guidelines for interface design are sorely needed. Building on previous high-fidelity analysis, this paper presents an extension - a data driven design framework consisting of a methodology and browser-based supportive tooling. It enables designers to prototype user interfaces for cycling and other dynamic environments, based on data from prior user sessions. Adhering to values of Optimisation, Steerability, Legibility, and Continuity, it is a marked improvement in translating insights into practical designs. The designer is supported in optimising and customising the positioning of an MR user interface, with interface elements transparently and continuously negotiating visual real-estate during prototyping. The designer arrives at actionable interface layouts for evaluation without compromising safety.

The causes and treatment solutions of congenital heart defects are difficult to address and discuss between patient and doctor. This is mainly due to the complex spatial nature of congenital cardiac defects, which makes it difficult for the patients to envision the defect without prior anatomical knowledge and renders the comprehension largely dependent on doctors' (variable) skills to describe the anomaly. To improve communication, 3D printed hearts have been developed, yet these are expensive, difficult to manage for the large collection of defects, and require substantial oral explanation. In addition, the correlation with cardiac function remains rather abstract. Instead, we propose an augmented reality solution, involving a see-through head-mounted display (HMD) extended with a built-in heart rate monitor. In order to increase the presence and the conversational power, the heartbeat of the patient is used to drive an animation of a supersized, floating heart visualisation; enabling the user to inspect a specific heart condition from all sides. To enable this, a universal add-on casing was developed for the HoloLens. Heuristic analysis and pilot tests with $6+15$ participants reveal limitations of the implementation and show that the solution does increase comprehension, although more has to be done to enable a robust system.

The project 'Factory-in-A-day' aims at reducing the installation time of a new hybrid robot-human production line, from weeks or months that current industrial systems now take, down to one day. The ability to rapidly install (and reconfigure) production lines where robots work alongside humans will strongly reduce operating cost and open a range of new opportunities for industry. In this paper, we explore a method of collaborative fabrication planning with the help of Augmented Reality as part of the concept Augmented Fabrication. In order to plan a new production line, two co-located workers at the factory wear a Microsoft Hololens head-mounted display and thus share a common visual context on the planed position of the robots and the production machines. They are assisted by an external remote expert connected via the Internet who is virtually co-located. We developed three different visualizations of the state of the local collaboration and plan to compare them in a user study.