Rationale for the Department of Happiness

Will Holcomb

22 April 2014

The idea of the Department of Happiness is based on idea of getting feedback from users based on weighted descriptors.

My habit tracker has a version in the mood collection interface. First, the user is presented with a list of descriptors they've compiled:

Descriptors

Once they choose a descriptor they can give it a weight:

Weight

These descriptors will vary over time:

I wanted then to collect as complete a digital profile as I could of the user. Then, use both historical trends and patterns from other users to try and extrapolate decisions that would probably increase their self-reported happiness.

The main focus was setting up the population of events. The computer is trying to group people together and expose them to both situations and substances.

The computer might recommend a group for a festival and suggest that their experience would be more enjoyable with weed.

While and after the duration of the event, the participants can give their opinions in the form of weighted tags.

The band might be Melodic 59% and Energetic 77%. Group member Bob is Cute 60% and Intereating -35%. The user self-reports as Entertained 40% and High 40%.

The app could prompt the user for particularly salient descriptors.

From this information the computer builds a model of probable responses to various stimuli.