CoZ: A crowd-powered system for social robotics

Tahir Abbas (Corresponding author), Vassilis Javed Khan, Panos Markopoulos

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)


We present Crowd of Oz (CoZ) — a crowd-powered system to enable a real-time dialogue between Softbank's Pepper robot and a user through a synchronous group of workers. We achieve this by: (1) providing media-rich interfaces and the underlying architecture to assist workers to contextualize the conversation; and (2) proposing and implementing the Pavilion algorithm, which ensures that the required number of workers are engaged. We have demonstrated in a lab setting that through CoZ, we can leverage crowdsourcing to drive the Pepper robot in a conversation on two topics: managing study-related stress and planning a holiday. Our preliminary results indicate that the crowd's input is both meaningful and fast enough to hold a conversation.

Original languageEnglish
Article number100421
Number of pages7
Publication statusPublished - 1 Jan 2020


  • Crowd-powered systems
  • Real-time human computation
  • Remote teleoperation
  • Social robotics


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