Together with my cohort at NCSU, we theorized how machine learning could improve the conversational experience of a DHH (Deaf or Hard-of-Hearing) user. Through machine learning, the HERE-U system adapts microphones in hearing aids or cochlear implants to focus on what the user wants to hear. Our goal was to create a more natural conversation experience without requiring the user to monitor a device constantly.
Our work was referenced on page 20 of “Big Data. Big Design: Why Designers Should Care about AI” by Helen Armstrong Read more…
How might design ideation be impelled by an undemanding task-based game that elicits mind-wandering in a virtual world that displays live fragments of the user’s ideation process?
This graduate project is speculative. It contemplates the creation of a game that prompts mind-wandering and incorporates ideation sketching.
Artifacts for the Future 2068
Diyagno empowers users by letting them choose when and where their illnesses are diagnosed. Additionally, whether the user wants to be surrounded by family and friends in their home, next to a significant other on the beach, or by themselves in a fast-food parking lot, Diyagno allows users to control who is with them and how their diagnosis is delivered. See full poster here.