Doug Scamahorn will lead an interactive session where participants will learn design thinking workshop techniques that enable diverse groups to explore the design of human-centered AI/ML experiences.
2300 years ago, Aristotle claimed that, above all else, men and women seek happiness. We all seek happiness from the activities we are engaged with, we all seek happiness from the life we lead, we all seek happiness from social interactions our relatives’ friends. When it comes to products and services, we are slowly moving away from a task-oriented approach to look at emotions and affect as a core quality. Can products make you happy? How does happiness fit into the experience pyramid? Is there any framework for positive design? This talk will unfold some of these concepts.
At this year’s World Usability Day conference, we explore design systems that are both highly automated and allow a great degree of user control, and will result in expanding human capabilities 1000-fold. If we can design AI which is “reliable, trusted, and safe,” we can dramatically enhance human performance in the coming decade.
Over the last two decades computers have advanced our abilities to perform our work, ensure our safety, and even lighten our workload. Interest in AI’s capabilities to expand human performance even further continues to increase. However, there is an accompanying fear that humans will lose control of the technology they create.
- UX’ers and Design Systems,
- Tips on how to keep UX Designers innovative in their early career
“What is your process?”
What does that even mean to you, your users, and clients? And how meaningful is it if it can’t be fully followed? In this session, we’ll discuss examples of knowing when to stay true to a process and when to brake it.
Through this session, I will introduce previous and ongoing projects that my research team and I have led. The talk will focus on projects where we design and examine intelligent interfaces that support older adults with health and well-being, their access to digital technologies, and their access to information and resources in their communities. I will also share techniques and approaches we use to engage older adults in the design of these systems and our findings of how they believe these systems can and cannot support them.
As designers, we are able to see opportunities for automation to improve our applications and user experience. However, it’s not always easy to meet functional requirements by a given deadline AND incorporate AI & Machine Learning into the applications we design for.
Can AI truly be user-centered without taking human emotion into consideration? How do we account for factors that can’t be “programmed”? Lindsay Kurbursky will present topics surrounding emotion, such as empathy and shame, and AI.
Products including artificial intelligence (AI) are becoming more ubiquitous, from exercise trackers to smart speakers to assistive robots, and soon to full concierge-level assistants. As such, AI is increasing not only in its impact on our lives, but in its participation in our most personal, intimate selves. Product designers of all types will have to account for the whole person in their designs: not just a user’s tasks and goals, but their motivations, personality, emotions, relationships, culture, and temporal and professional contexts.
In this talk I will review user-centered design principles, and discuss some of the limits to these thus far, particularly where artificial intelligence is concerned. I will discuss the view of the user and the product as creating an experiential system together via their interactions, along with my past research on a robust framework for understanding and simulating emotions. I will also address the question of whether AI should have emotions, and confront the difficult, murky factors in AI-assisted actions as mundane as planning to meet for lunch. Participants will leave with a greater understanding of the breadth of issues confronting AI in user-centered design, and approaches to some of the thorny challenges facing us all.