AI adoption isn’t guaranteed—it depends on trust. Customers who find AI confusing or robotic will avoid it. Usability research identifies these frustrations and provides a roadmap to create human-friendly AI experiences.
Customers lose patience when systems hide their logic. A product recommendation with no context makes people question accuracy. Dead-end responses like “I don’t know” block progress. Overly technical language creates distance, while blank text boxes overwhelm new users.
Research pinpoints the changes that inspire confidence. Testing ensures AI speaks in clear, customer-friendly language. Error recovery flows help people reframe questions instead of quitting. Studies reveal where personalization feels helpful versus creepy. Even small onboarding cues—like prompt examples—make tools easier to adopt. See our approach to human-AI usability research.
Trust grows when AI communicates with empathy and adapts to different user skill levels. Usability research makes this possible by putting real people at the center of testing.
Learn more about Human-AI Usability Research.
