Anne - a data-enabled exploration for resuscitation training
Designing data-enabled artefacts implies that those artefacts hold both perception and possible agency, and unfortunately, the traditional industrial design practices do not account for this as a whole. This presents the opportunity for industries to convey to this transformation.
This thesis project is an exploration in designing with data-enabled artefacts, in the context of the resuscitation training for healthcare providers, in collaboration with Laerdal Medical.
For this project, I navigated with a Research through Design (RtD) approach combined with user-centred methodologies how a data-enabled system might engage and motivate health care providers to perform training practices more often.
Initially, I facilitated re-mote co-creation workshops with healthcare providers, learning specialist and designers to collaboratively define possible qualities of motivation and engagement in the context of resuscitation training with healthcare providers.
Later on, I embodied a "Wizard of Oz" prototype where I played the roles of a data training system, using analogous relationships with adults to prototype the previously ideated qualities. Engaging with users every day, receiving their input and iterating the day after for seven days, allowed me to start conceptualising at an early stage.
Finally, I crossed over the prototype findings with concepts that I later on presented, validated and iterated with healthcare providers and designers to refine those concepts.
Anne is a data-enabled system for healthcare responders that tailors training by enhancing wishes, goals, and expectations. By logging learning behaviour, it facilitates intrinsic and extrinsic motivation. It gives ownership of the learning path to the learners themselves, making the training more accessible to their daily routines.
For instructors, it highlights possible areas of improvement beyond task and performance, and it facilitates following up on the learning path of each learner, regardless of the amount of learners enrolled.
In the bigger picture, it could allow healthcare organisations to seek quality improvement by identifying possible gaps in their current training implementations.
In collaboration with:
