3 thoughts on “QH W4 HW: Mini Service Concept

  1. As discussed in class, making your service concept more visual and tangible is important and helpful for the less text oriented.

    Good to see that you parsed through the changing stages of your persona throughout the lifetime of the service. This is a really key and important aspect of goal setting so that you might be able to design the right interactions, interventions, and incentives for the people you’re serving to progress through your designed experiences.

    I fear the development of automated methods to attempt the quantification of phenomena like depression, anxiety, sexual orientation, proclivity to commit crimes, etc. As automation and AI rely heavily on data, and given that our past is heavily rooted in systemic biases, privileging certain groups over others, etc, it is hard not to believe that such a system would take on a lot of those biases. It also begs the question of who decides what are signs and indications of depression and what happens when false positives are identified. Do we trust our own feelings or do we to look to our technology to articulate feelings that may or may not exist?

    I would be interested to know what you find out there regarding the landscape of tools like this. Seems it is already happening (upon quick web search):
    http://www.wired.co.uk/article/ai-instagram-diagnose-depression
    https://thenextweb.com/artificial-intelligence/2017/08/03/ai-is-a-powerful-tool-in-the-fight-against-anxiety-and-depression/

  2. I believe Joey also commmented with some feedback, but I wanted to add Francis Tseng’s work on NewsBlur (http://www.newsblur.com/) which we mentioned in class, developing a newsfeed for folks to triage information overload and I wanted to share that here: https://github.com/frnsys/NewsBlur.

    Also, to note, the Center for Humane Technology is hiring! I think you could evolve this project idea and potentially apply with this as a portfolio piece: http://humanetech.com/jobs/

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