Together We can Figure It out: Groups Find Hospitality Robots Easier to Use and Interact With Them More than Individuals
Harrison Preusse; Rebecca Skulsky; Marlena R. Fraune; Betsy Bender Stringam · 2021 · Frontiers in Robotics and AI
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
As robots are becoming more prevalent and entering hospitality settings, understanding how different configurations of individuals and groups interact with them becomes increasingly important for catering to various people. This is…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Crossref · DOI 10.3389/frobt.2021.730399