An android architecture for bio-inspired honest signalling in Human-Humanoid Interaction

Antonio Chella, Rosario Sorbello, Marcello Emanuele Giardina, Salvatore Tramonte, Carmelo Cali', Shuichi Nishio, Hiroshi Ishiguro, Antonio Chella

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This paper outlines an augmented robotic architecture to study the conditions of successful Human-Humanoid Interaction (HHI). The architecture is designed as a testable model generator for interaction centred on the ability to emit, display and detect honest signals. First we overview the biological theory in which the concept of honest signals has been put forward in order to assess its explanatory power. We reconstruct the application of the concept of honest signalling in accounting for interaction in strategic contexts and in laying bare the foundation for an automated social metrics. We describe the modules of the architecture, which is intended to implement the concept of honest signalling in connection with a refinement provided by delivering the sense of co-presence in a shared environment. Finally, an analysis of Honest Signals, in term of body postures, exhibited by participants during the preliminary experiment with the Geminoid Hi-1 is provided.
Original languageEnglish
Pages (from-to)27-34
Number of pages8
JournalBiologically Inspired Cognitive Architectures
Publication statusPublished - 2018

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Artificial Intelligence


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