Scott Sullivan
Partner at the Applied Design and Economics GroupScott is a partner at the Applied Design and Economics Group (ADE) in the United States, and helps to build products and services that operate seamlessly in people's lives to assist people in making positive long-term changes.
Prior to ADE, Scott was a designer at Adaptive Path in San Francisco, later working on behavior-focused financial services at Capital One bank. With an arts-driven education and diverse influences, his work has run the spectrum from education to energy; finance to interactive performance art.
Scott has authored several publications on UX and the digital world, including editorial for Fast Company and a book, Designing for Wearables: Effective UX for Current and Future Devices.
Author of
Machine Learning for Designers
The workshop consists of a brief overview of what's currently possible with machine learning, followed by an outcome-based service design project prompted by real-world opportunities.
For our service design project, we'll go through simple data analysis (provided data), verifying that our service offers value and behavior change.
This workshop will explore essential machine learning and data science techniques, and explore Experience Design's role and relationship with machine learning, and delve into the ethics and pitfalls of machine learning and behavior change.
Nobody Knows What's Going On
The dumb human's guide to dumb humansResearch is the most important part of Human-centered Design, it's also the most difficult part. What makes it difficult, is also what makes it valuable; we're dumb humans, and we make decisions for very weird reasons, and we have no idea why we make very weird decisions. Figuring out these odd and mysterious motivations is what makes experience design work or not work.
In this talk, we'll look at many examples of teasing out weird motivations, look at specific tools to help us, and go through a step-by-step process to conduct research that actually explains why people do things. We'll also talk about why surveys don't work, why focus groups don't work, why analytics don't work, and why basing your product/service on a different product/service doesn't work, and why.
