Last project:

Contextual Inquiry
2017.9 - 2017. 12
Affinity Wall
Yasemin Karbassian
Ming-Li Lee
Ben Henig
In contextual inquiry course project, we worked with real clients for problems in information technology. Honorably, our client - Gifts of Art in Michigan Medicine, is one of the biggest art programs in health care nationwide. They have thousands of artworks exhibited in hospital, estimated to be visited by 10,000 people per day. They seek for help on transferring their card-managed inventory to a digital system. Our team of four, started from learning this special working context, in the end proposed a system design wireframe and a list of recommendations to engage digital tools, leverage collaboration and information archive.


Get to know our client

We visited Michigan Medicine hospital to meet our client. When we walked around the hospital, we were amazed that the hall and lobby are all decorated with paintings or artifacts. We were told each patient has a painting in front of the bed. Those are the work of our client - Gifts of Art (GoA).
In this course project, we were working on one program of GoA. It is called Art Cart - volunteers taking a cart full of arts, to visit patient’s room one by one, and ask patients whether they want to change the art in their rooms.
On one side of the cart, library cards were placed by room numbers, representing the paintings currently in patients' rooms
The cards representing the arts in the cart are stored in a binder for patients to read
We did background research for art in health care, to understand the organization’s goal, and talk with client to learn GoA worker’s workflow.


Affinity Wall

We interviewed 2 volunteers, 1 manager, 1 program assistant, 5 patients, which generates hundreds of notes making up the affinity wall. Our research was able to give us a better understanding of the stakeholders’ needs.

Look into the needs:
Finding 1:
As the client claimed, searching art based on memory isn’t effective. We found that although patients’ painting requests are usually not fulfilled, they are still happy with an alternative choice. And according to our interview, patient requests are not always specific.

Recommendation 1:
We introduced crowd tagging feature, asking patients to tag the art using their language. In this way, the system would build connections between tags, so GoA workers can search by patient-made tags, and find related paintings easily.
Finding 2:
By learning user work flow, we found changing art happens in several occasions. It can be a patient initiated request, or it is on volunteer's call. And the person who answers patient's requests can varies

Recommendation 2:
The desired system should be able to support interaction needs in each scenario, and the interface must guide users and prevent errors.


Beyond Functions

The desired system is going to be used by three different roles. During interviews, we found they have very different perspectives in Art Cart activities.
Based on our understanding of each user's goal, there were some interesting findings regards UX design:
1.The previous shift sheet design can be a pressure to urge volunteer to finish the floor, thus neglect communication quality with patients.

Sometimes volunteers are hurry to end a conversation in order to visit more rooms in the shift, which is actually not the program wants.

We replace the old design with a scrollable list of room numbers.
2.There was a brief introduction of each painting in the card binder. However, the interview shows that patients don’t care about the text, but mostly make decision based on visual appeal.

In our App design, we decided to take the full screen to display painting gallery for patients. When patients choose one painting to replace, volunteer is directed to another screen to update painting location, and shown detailed information of the painting.