Figure is intentionally designing its robots to avoid two extremes: menacing appearances and overly friendly looks with "googly eyes." The goal is to position the humanoid as a sophisticated, high-end piece of technology—a tool for humanity—rather than trying to fool users into thinking it's a toy or a person.

Instead of reacting to its environment, ONE X's world model AI allows its robots to 'think' forward and simulate potential outcomes of an action. Like a human anticipating spilling hot coffee, the robot can identify risks and select the safest trajectory, which is critical for operating in a home.

To trust an agentic AI, users need to see its work, just as a manager would with a new intern. Design patterns like "stream of thought" (showing the AI reasoning) or "planning mode" (presenting an action plan before executing) make the AI's logic legible and give users a chance to intervene, building crucial trust.

To foster appropriate human-AI interaction, AI systems should be designed for "emotional alignment." This means their outward appearance and expressions should reflect their actual moral status. A likely sentient system should appear so to elicit empathy, while a non-sentient tool should not, preventing user deception and misallocated concern.

The same LLM-generated text can feel robotic in a terminal or playground but becomes more human-like and even unnerving when presented within a familiar UI like Reddit's. This "medium is the message" effect suggests that the presentation layer is critical in shaping our perception of AI's humanity.

Counterintuitively, AI responses that are too fast can be perceived as low-quality or pre-scripted, harming user trust. There is a sweet spot for response time; a slight, human-like delay can signal that the AI is actually "thinking" and generating a considered answer.

People react negatively, often with anger, when they are surprised by an AI interaction. Informing them beforehand that they will be speaking to an AI fundamentally changes their perception and acceptance, making disclosure a key ethical standard.

The most effective AI user experiences are skeuomorphic, emulating real-world human interactions. Design an AI onboarding process like you would hire a personal assistant: start with small tasks, verify their work to build trust, and then grant more autonomy and context over time.

The founder of robotics OS Lightberry argues that the industry's "ChatGPT moment" won't be when a robot can fold laundry. Instead, it will be when robots are commonly seen interacting with people in public roles—as shop assistants, event staff, or security—achieving social acceptance first.