When most people think of AI products, the first things that come to mind are algorithms, models, data, and computing power. But in reality, user experience is also a key factor in the success of AI products.
Many experts in AI and user experience have recognized that trust is key to the success of new products. From public opinion to product interaction, AI faces trust issues at every level. This is normal. Technically speaking, AI has moved beyond the realm of human familiarity and will inevitably create user experience issues. Some experts have even gone further and suggested that user experience design should be carefully considered throughout the entire product lifecycle.
Leading AI companies place a high value on user experience standards. For example, Google emphasizes that setting the right expectations is an important criterion for designing intelligent products. In a publicly published article, Josh Lovejoy, a senior user experience designer at Google, discussed how human-centered design can enhance AI. Using Google Clips as a case study, he outlined the core takeaways from three years of building models, industrial design, and user interfaces. He believes that machine learning will cause us to rethink what is possible in virtually every experience.
But we also see that not every company’s products place a high value on user experience. Even in some technology-driven companies, user experience is overlooked. But for competitors, this may also be an opportunity.
Competition in the field of AI is like a sporting event with plenty of events. And many competitions are just beginning. The theory of “The Right-Brained Organization” tells us that technology is often not the real moat in business competition; it’s the minds of users. User experience often becomes the decisive factor in product success or failure. So even if you’re not leading at the start, perhaps user experience is your opportunity to overtake on the bend.