How can computers for professionals in shared work environments inject humor into the user experience and interface to reduce stress and maintain workflow?
the goal
I wanted to explore how machine learning could be designed to create effective humor. This research heavy task required addressing many unanswered questions before designing for the big question...
(the remaining 2 minutes of the video, at bottom of this page, explain the final product)
areas of interest
gathering academic insight
I gathered current knowledge and research surrounding each of the topics.
I synthesized the findings to inform the next set of questions, frameworks and design exploration..
Insights:
Findings:
Diagraming my findings visually in maps and frameworks is important. It explains their relation to each other clearly to the reader and the flow of concepts as I developed conclusions. It is an accessible foundation to reference the research.
Humor and laughter happen more fluidly in a social setting. I met with multiple groups to brainstorm humorous, silly, and playful ways to address stressful situations on a computer. In some groups we played games to grease the funny gears.
Findings:
Wish I Had:
I examined precedents from each of four topics, that reflected on a potential application of the stress, humor and A.I. research performed.
Insights:
Catching moments of spontaneous humor is virtually impossible to predict. To observe humor and laughing in real time I had to go to comedy clubs and improv theater, where there was the possibility of a joke "flopping".
Findings:
To paint the full picture and maintain consistency I created two office worker personas with different types of stress and unique humor tastes .
The personas were placed in scenarios where they became stressed. The potential interaction and experience was then journey mapped. To show how variation might progress for unique humor preferences over time, I designed humor interventions at three stages of development nine months apart for two personas.
The individual humor AI became much more in tune with the user's stress cycles and indicators for predicting when a humor injection would be most effective.
The next step was to develop what these humor injections would look like, and show how the ML Humor agent would evolve and improve over time.
The humor designs were explainable within ML criteria, safe for work, relatable, fresh and brief.
Reflections on making humor :
Just as we have AI technology that can see far more from one medical image than the most experienced doctors, I believe AI can eventually be absolutely, sidesplitingly, hilarious....eventually.
You can't teach or learn funny. You have step in it and get it all over your shoe.