Jason Telner
QUALCOMM
Jason Telner is a UX researcher at Qualcomm. He has over 15 years of experience working within the field of user research. He spent 11 years in IBM’s CIO design user research and data analytics team, focusing on improving the user experience of employee support applications such as AI embedded products, chatbots, web support, and voice interface support. Jason has published and presented at numerous user experience related conferences and is the recipient of both the Human Factors and Ergonomics Society 2008 Alphonse Chapanis Best Paper Award, as well as the HCI 2011 Best Paper Award.
My Session(s)
Designing the UX for AI: Not Your Typical UX Design
Meeting Room 1AI is part of our strategy, but the ux for AI is largely undefined and needs to be addressed. The size of the AI market is huge, and if we leave this to chance, we take a big risk. At our company, we created a guide for designers, that can be used as north star […]
AI Metrics – How to Measure the Success of Your New AI Products and Experiences
Meeting Room 1With the proliferation of AI infused technologies and experiences over the past several years, we are often faced with the question of whether these AI implanted technologies are more successful and productive for our users and organizations. This is especially relevant whenever a new AI technology surfaces, we often wonder is it better than what […]
Data Science and UX – Smarter Together
19-21User research on its own often lacks access to important data and efficiency of processing and harvesting insights from data offered through data science techniques. User research can be drastically enhanced by leveraging key insights obtained from data science tools and techniques. For example, keyword automated comment clustering using AI methods can drastically speed up […]