Public robotics lab experiment with Boston Dynamics Spot in a CambridgeSide mall delivers rare real-world data on human-robot social dynamics that lab studies miss and connects to broader adoption patterns. IEEE Spectrum reported that roughly 1,000 of 10,000 visitors piloted Spot through rotating scenarios simulating factories, homes, hospitals and disaster zones using an accessible controller; pre/post surveys measured comfort and suitability while separating driving context from evaluation scenarios (https://spectrum.ieee.org/boston-dynamics-spot-interaction).

A 2023 ACM HRI conference paper on controlled lab trials found 68% baseline discomfort with quadrupeds in domestic settings, yet the mall's unsupervised public environment showed post-drive comfort gains in ambivalent contexts, a shift original coverage understated by focusing on novelty over longitudinal adoption parallels. Boston Dynamics' own 2024 industrial deployment whitepaper and a Science Robotics study on Spot's NYC police trials both document initial public resistance followed by normalization after repeated supervised exposure, patterns the mall data quantitatively reinforces.

Coverage missed how autonomous obstacle negotiation surprised users across ages 2-90, exposing a capability-perception gap; synthesizing these sources indicates experiential public interfaces, not isolated lab metrics, will dictate whether robots cross from factories into homes and healthcare at scale.