AI holiday ads lack authenticity and emotional resonance, highlighting the need for human judgment and attention to users’ needs in UX and creative work.
Making everyone figure out AI alone creates chaos and risk. Research and Design Operations teams must step up: analyze workflows, pilot tools, and support adoption systematically.
People trust AI more when it seems smarter rather than sentient. AI emotions can reduce trust in factual, task-oriented work and reduce AI reliability.
Hype happens when messaging becomes divorced from good experiences. Learning from the virtual reality hype cycle can help us avoid future distractions.
AI-simulated users can fill in missing data and predict population-level trends. They perform better when they are based on extensive contextual information.
Our study shows that generative AI is reshaping search, but long-standing habits persist. Many users still default to Google, giving Gemini a fighting chance.
A digital twin is a genAI-based model of a particular individual that can be used to predict both individual and population-level preferences and behaviors.
AI-generated review summaries extract qualitative key themes from customer feedback, helping shoppers quickly assess what purchasers think about the product.