A quick follow-up to our blog posts about AI… The name of the game is no longer Moore's Law where we see processors getting exponentially faster. AI technology is driven not by computing processes of the past, but from an evolution beyond central processing unit (CPU)...
Back to team page
Leigh Clark
Director
Leigh has 10 years’ experience in user research with emerging technologies. He has a leading expertise in voice and text systems and is co-founder of the ACM Conversational User Interfaces (CUI) conference series. Leigh has published extensively and organised conferences and workshops in this area. His recent work examines how to design voice interfaces to make them more inclusive. As an industry advisor to the Open Voice Network, he continues to work with global researchers to design ethical voice interface guidelines. Leigh holds a PhD in Computer Science from the University of Nottingham and is a Visiting Lecturer at University College Dublin.
Bold facts
Learn more about

Something unique about you summed up in one sentence:

Your favorite city in the world is...and why?

In your spare time (or if you had spare time), you would absolutely do this:

Your ultimate celebrity dinner party guest list would include...

You cannot start the day without doing this...

What would be your most valuable zombie apocalypse skill?

Favorite TV show:

Share an interesting fact:
Read our team’s latest bold insights
The critical component missing from AI technology
The first step when developing AI is to understand the user need; but just as critical, is knowing the context in which the data is being collected.
Three things to improve acceptance of AI
To truly deliver on the promise of AI, developers need to keep the end users in mind. By integrating three components of context, interaction, and trust, AI can be the runaway success that futurists predict it will be.
Recruiting methods and study logistics for human factors and user research
A stronger recruiting strategy that includes relationships with patient support groups and clinical treatment centers can provide better access to difficult-to-reach patient populations. Being intentional about how you plan the logistics of your human factors and user research can mitigate risks to validity introduced by biases.