Studying Human-Human interaction to build the future of Human-Robot interaction

Alessandro D'Ausilio, Katrin Lohan, Leonardo Badino, Alessandra Sciutti

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

2 Citations (Scopus)


Understanding human-to-human sensorimotor interaction, in a way that can be predicted and controlled, is probably one of the greatest challenges for the future of Human-Computer Confluence (HCC). This would allow, for example, the possibility of optimizing group decision-making or brain storming efficacy. On the other hand it would also offer the means to naturally introduce artificial embodied systems into our social landscape. This vision sees robots or software that smoothly interface with our social representations and adapt dynamically to social contexts. The path to such vision requires at least three components. The first, driven by cogni- tive neuroscience, has to develop methods to measure the real-time information flow between interacting participants – in ecological scenarios. The second, shaped by the Human-Robot Interaction (HRI) field, consists in building the proper information flow between robots and humans. Finally, the third will have to see the convergence of robotics, neuroscience and psychology in order to functionally evaluate the reality of a long-term HCC.
Original languageEnglish
Title of host publicationHuman Computer Confluence
Subtitle of host publicationTransforming Human Experience Through Symbiotic Technologies
EditorsAndrea Gaggioli, Alois Ferscha, Giuseppe Riva, Stephen Dunne, Isabelle Viaud-Delmon
ISBN (Electronic)9783110471137
Publication statusPublished - Jun 2016


  • HRI
  • Sensorimotor Communication
  • Behavioural Synchronization
  • Mirror Neurons
  • Human-Human Interaction
  • Human-Robot Interaction


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