Designing for doubt
Before 2022, it was pretty clear whether you were talking to a bot or a human. With the arrival of ChatGPT, this changed – radically. With a user interface that combines the gift of the gab with information that's not necessarily accurate, designers are faced with a novel challenge. How do we design for interfaces that are so convincing that people instinctively drop their guards and trust them more than might be good for them? And do our traditional design paradigms still serve us here?
youtu.be ↗ (opens in new window)Before 2022, it was pretty clear whether you were talking to a bot or a human: the tell-tale ‘I’m sorry, didn’t understand, could you please repeat your question?’ was a bit of a give-away. As a conversation designer, my role was to give these bots a semblance of human-like naturalness, to remove friction and increase user trust.
With the arrival of ChatGPT, this changed – radically. With a user interface that combines the gift of the gab with information that’s not necessarily accurate, designers are faced with a novel challenge. How do we design for interfaces that are so convincing that people instinctively drop their guards and trust them more than might be good for them? And do our traditional design paradigms still serve us here?
This talk builds on ideas from Why ChatGPT is bullshit and saturday-design-thoughts.
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