Design the Future
January 19–20, 2016: Training
January 20–22, 2016: Conference
San Francisco, CA

When the cloud decides: Designing for predictive machine learning for the IoT

2:05pm Thursday, 01/21/2016
Design for a greater good
Location: The Chapel
Average rating: ****.
(4.50, 6 ratings)

Increasingly, predictive machine learning drives the consumer Internet of Things. Cloud-based algorithms collect data from thousands of connected devices and then create models that aim to predict what behavior will create the most positive outcome. But how should the human users—the supposed beneficiaries of these products and services—interact with these algorithms? How, for instance, do I change the behavior of a predictive lawn-care system when my only interface to it is a garden hose? Mike Kuniavsky outlines the challenges of creating embedded intelligent systems and offers UX design approaches for addressing these challenges.

Photo of Mike Kuniavsky

Mike Kuniavsky

PARC

Mike Kuniavsky leads user-experience design in the Innovation Services Group at PARC, a Xerox company. A 20-year veteran of digital product development, Mike designs products, business processes, and services at the leading edge of technological change. Prior to PARC, Mike cofounded several successful UX-centered companies, including ThingM, which designs and manufactures ubiquitous computing and Internet of Things products, and Adaptive Path, a well-known design consultancy. He has worked with top technology companies—including Samsung, Sony, Nokia, Whirlpool, and Qualcomm—to design new products, guide product strategy, and create user-centered design and development cultures. Mike is the author of Observing the User Experience: A Practitioner’s Guide to User Research and Smart Things: Ubiquitous Computing User Experience Design.

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