Emotional Checkin

Above, I conducted explorations on the way that emotions were represented visually as well as exploring the taxonomy that would be associated with them. This was essential because we were exploring two different approaches. 1. Non linear approach: initially the we were representing an imitational gradient that represented a series on non sequential emotional states. The problem with this approach was that we would not be able to track the emotions on the back or rate the emotions on the back-end. For example, it’s difficult to assign a value to the emotion “confident” relative to the emotion “grateful”. 2. Linear approach: This approach had the apparent benefit of being trackable and ratable in relation to each-other. This emotional gradient builds from worst to best in terms of emotional state. Because of this we would be able more accurately track the progression or regression of the user’s emotional state.

Above you can see how information related to the user’s emotional state could be captured, as well as rationale for that reported emotional state. Additionally, we added an input field where the user could report any additional impressions that would be logged for their own record keeping. Add the end of the flow, the user would be provided with contextual content that would ideally help improve or add to their current emotional disposition.

Above, you can see an example of a UI exploration on the “linear approach”.

Above you can see an example of the “non linear” approach.