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Project | ALIZ-E

Duration:
Adaptive Strategies for Sustainable Long-Term Social Interaction

Adaptive Strategies for Sustainable Long-Term Social Interaction

The goal of ALIZ-E is to develop novel methods for developing and testing interactive, mobile robots which will be able to socially interact with human users over extended periods of time, i.e. a possibly non-continuous succession of interactions which can refer back to, and build forth on, previous experiences.

Partners

  • University of Plymouth, UK (coordinator)
  • Deutsches Forschungszentrum fuer Kunstliche Intelligenz GmbH (DFKI), Saarbruecken, DE
  • Vrije Universiteit Brussel, BE
  • Netherlands Organization for Applied Scientifc Research (TNO), NL
  • Imperial College, London, UK
  • University of Hertfordshire, UK
  • Fondazione Centro San Raffaele del Monte Tabor, Milano, IT
  • National Research Council - Padova, IT
  • Gostai, Paris, FR

Publications about the project

  1. Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users

    Alexandre Coninx; Paul Baxter; Elettra and Oleari; Sara Bellini; Bert Bierman; Olivier Blanson Henkemans; Lola Canamero; Piero Cosi; Valentin Enescu; Raquel Ros Espinoza; Antoine Hiolle; Rémi Humbert; Bernd Kiefer; Ivana Kruijff-Korbayová; Rosemarijn Looije; Marco Mosconi; Mark Neerincx; Giulio Paci; Georgios Patsis; Clara Pozzi; Francesca Sacchitelli; Hichem Sahli; Alberto Sanna; Giacomo Sommavilla; Fabio Tesser; Yiannis Demiris; Tony Belpaeme

    In: Journal of Human-Robot Interaction, Vol. 5, No. 1, Pages 32-67, ACM, 3/2016.

Sponsors

EU - European Union

EU - European Union