Summary
Join Savina Hawkins as she presents a focused exploration of large language models in User Experience Research (UXR). This talk zeroes in on practical, actionable strategies for leveraging these advanced AI tools to enhance UXR outcomes. Savina will discuss the dual nature of large language models, illuminating their potential to both revolutionize and challenge UXR practices. Attendees will learn to identify and mitigate risks while maximizing the benefits of these models in real-world scenarios. The session promises a clear, concise roadmap for UX researchers to effectively integrate large language models into their workflow, ensuring positive, impactful results.
Key Insights
-
•
AI tools will fundamentally transform knowledge work, providing unprecedented speed and scale to research processes.
-
•
Prompt engineering is an emerging skill that every researcher will likely adopt by 2025.
-
•
LLMs can synthesize large quantities of data quickly, potentially replacing traditional qualitative analysis methods.
-
•
The craft of prompt design parallels research methodologies, making researchers well-suited for this new skill.
-
•
AI-generated content is based on probabilistic outcomes and lacks the contextual understanding of a human.
-
•
The rapid advancement of AI raises concerns about ‘magic eight ball thinking,’ where users accept AI outputs without critical evaluation.
-
•
Collaboration between technologists and humanists is essential to ensure AI tools align with deeper human values and ethics.
-
•
Innovations in AI present both transformative opportunities and significant risks to established workflows.
-
•
AI has the potential to democratize knowledge work, reducing barriers but also raising concerns about job displacement.
-
•
As AI capabilities evolve towards artificial general intelligence, the challenge will be to maintain a balance between technology and human insight.
Notable Quotes
"Who in here is familiar with the fifth tool, prompt engineering?"
"I bet every researcher in this room will add prompt engineering to their skillset by the end of 2025."
"These tools can help us do things we previously thought were impossible."
"Researchers like us were born to be prompt engineers."
"Large language models are not without their shortcomings."
"AI tools can do qualitative analysis at the click of a button."
"Our work is critical humanistic thinking, not just information processing."
"The labor of information processing will increasingly be delegated to machines."
"We must co-design a new era of knowledge work reflecting our deepest values."
"Only together can we have the power to co-design a future that meets the challenges of our time."
More Videos
"As we get older, our hand-eye coordination isn't what it once was, and our cognition and memory aren't what they once were."
Samuel ProulxInvisible barriers: Why accessible service design can’t be an afterthought
December 3, 2024
"Whenever we converse, there’s an opportunity for conversion."
Victor UdoewaTheme One Intro
March 27, 2023
"Promoting design means business growth and that's great; it's been proven to work."
Gonzalo GoyanesDesign ROI: Cover a Little, Get a Lot
September 8, 2022
"Harms often accrue at the societal level rather than to individuals."
Alexandra SchmidtWhy Ethics Can't Save Tech
November 18, 2022
"We have to be relentless at saying no to avoid overcommitment."
Jose CoronadoFrom Zero to Hero
September 8, 2022
"All neurodiversity is unique and not one size fits all."
Pippa LomasPaving the Path for Neurodiversity in Design
October 4, 2023
"Every job is a climate job, and we should all be looking for ways to contribute."
Louis Rosenfeld Matt Jones Olga Khroustaleva Michael Leggett Karol MunozDo you want to work on climate? (Climate UX Discussion Series)
November 15, 2023
"The measure of success should change from output to changes in customer behavior."
Jeff GothelfThe Intersection of Lean and Design
January 10, 2019
"We gotta sit through two hours a day of gray; the answer is no, you don't have to sit through two hours."
Dave GrayGroup Activity: Making Sense of DesignOps
November 7, 2017
