We hope to see you on November 12th.
Kristie J. Fisher
Deciding whether and how AI adds value to your product and to your users
Your team wants to be innovative, to create the best possible experiences for your users, and to add value to your business. Can AI help you achieve those goals? How exactly? In May of 2019 Google launched the People + AI Guidebook to help UXers and Product Managers think through these questions and many others. This talk will provide a high-level intro to the Guidebook followed by a deeper dive into insights and case studies from the Guidebook that can help you determine which of your user needs might be a good fit for AI solutions and how to start creating AI that can meet those needs.
Kristie J. Fisher
Kristie J. Fisher leads the UX Research team for the new Stadia Games & Entertainment team at Google and is also an author of Google's People + AI Guidebook. In the five years she's been at Google she has also worked on AI-driven tools in the Ads and GSuite product areas. Kristie was a researcher at Xbox prior to joining Google. She has a PhD in cognitive psychology from the University of Washington and a BS in applied psychology from Georgia Tech.
Embracing Failure: Turning setbacks into Opportunities
There is no shame in failing at something. It means that you tried. Perhaps a person tried something in a new way. Trying something new is brave and being brave is admirable. The value of our failures is in what they can teach us. What happened during the experience that you can learn from? Failure provides data, which you can look at to improve the situation the next time. Much has been written about the benefits of failure, as a way to learn from the mistake in order not to repeat it in the future.
Thomas Edison, inventor of the incandescent light bulb and motion pictures, is famous for saying “I have not failed. I’ve just found 10,000 ways that won’t work”.
The session includes case studies of initial failure in business and technology, that ultimately led to great success. User Experience gives us the answer, find out what works and take that data to make it better, this is the essence of the user experience iterative cycle.
Elizabeth is Founder and Director of World Usability Day and was recognized for this work through the UPA Lifetime Achievement Award in 2009. She is Principal at Bubble Mountain Consulting and has worked as a consultant and employee in several major corporations for over 25 years.
Elizabeth is the author of the book “Successful User Experience: Strategies and Roadmaps” published by Morgan Kaufman and frequently publishes in industry journals, has written a book “Successful User Experience: Strategies and Roadmaps”. Learn more about Elizabeth’s work at Design Research for Good
Supporting the Doctor's orders with AI - a delicate balance
The number of individuals in Sweden on long-term sick leave has been constantly increasing and causes isolation and suffering for the individual as well as a heavy economical burden on our society. Doctors in the primary care sector in Sweden issue up to 15 medical certificates for sick leave each week, in an extremely time pressured situation and a heavy administrative load.
During the last four years, we have taken on the challenge to design an AI-based system that helps to identify patients at risk of entering long term sick leave and thereby increasing the possibilities to avoid just that. I want to share how we have gone about this challenge, without overstepping ethical boundaries or overriding the Doctor's expertise. I also want to share how we have evaluated the effectiveness of the system, in use by more than 200 medical practitioners.
Jenny is an independent UX Strategist based in Stockholm who has worked as a consultant with a large variety of customers in the private as well as public sector in Sweden and abroad. For the last four years, Jenny has been responsible for the design and evaluation of the first AI-based decision support system for doctors in the primary care sector in Sweden.
“I can do better than your AI” and other man-machine quarrels
Since the industrial revolution, automation technologies have evolved by leaps and bounds. However, interfaces to control and communicate with advanced automation have barely crawled forward. The result is a generation of operators, engineers and other experts who often find themselves at odds with their "intelligent" machines. In this talk, we explore the challenges in Human-Automation Interaction and share lessons from the industrial context that will help build human centered AI.
Gayathri is a User Experience Researcher focusing on Human Automation Interaction in specialized industrial contexts such as process industries, mining and ports. With a background in HCI, Innovation and Game based learning, she leads the UX Research Group at ABB Corporate Research.
Can you imagine having a robot on your team?
The megatrend is that the robots are leaving their cages and the industrial floor and entering our daily lives. Robots are designed to perform highly specialized tasks in structured environments. How to design robots that can operate autonomously in unstructured human environments, like our homes and streets, is a complex, unsolved problem in today’s industry.
So, what do robots need to succeed around people? We believe that robots needs skills to both understand, but also communicate social cues. In this talk, we explore the challenges in Human Robot Interactions and creating a body language for an industrial robot arm that can be perceived intuitively by humans.
Silje is a designer and the co-founder of Hiro Futures working on the future of human-robot collaboration. She has been exploring the quest of team collaboration ever since attending Hyper Island.
Can AI support a creative process?
According to the UN, more than half of earth population lives in cities today and more than 90% of future population growth will occur in cities. How can this be done in a sustainable way? Architects and urban planners face many, often conflicting, considerations like designing for energy efficiency, good outdoor areas, reduced noise and enough space and light for everyone.
A complex problem for the human mind - but not for computers! Spacemaker let AI consider all parameters and presents a variety of ways to solve the problem. Almost like a brainstorming machine!
But how do creative users react to getting "everything served" by an AI tool? What happens to the creative process when you go from drawing - to selecting and adjusting parameters?
Our learning curve has been very steep, and we have changed our tool dramatically, acting on user feedback. In this presentation I want to share what we learned so far on how to actual design an AI tool with the user in mind.
Klara Vatn is Head of Design in the Oslo based startup Spacemaker. She is a digital product designer with 15 years experience designing great products, specialized in combining design process with agile mindset. The last three years she has been using all her experience to disrupt the way we design our cities, building both the Spacemaker product and organisation from scratch.
Creating Rewarding AI Feeds to Serve Users – Not Ads
AIs are all about how they are trained. Feed AIs optimize their content based on a certain goal. And since the dawn of the internet, AI content feeds were optimized for engagement – usually measured by time spent on the platform. This is not an accident. It is a business necessity for companies that rely on ad-based revenue. At Substack we are exploring feeds with a new goal. Substack relies on a subscription-based model where readers pay writers directly. This means that delivering ads is no longer part of the equation. Instead, the goal is to show readers writers they will love so much they are willing to pay >$5 a month to support them. In this talk we want to explore how we can create AI feeds that are rewarding to use by changing the objective function of this AI.
Gabriel is a 23-year-old Product Designer at Substack in San Francisco. Prior to joining Substack, Gabriel co-founded Barbra. He also worked as Head of Design at one of Germany's fastest growing startups and co-founded and sold his first company at age 17 in Brazil. Gabriel holds a Bachelor's degree in Computer Science from the Ruprecht-Karls University of Heidelberg.