Awards

The ICDL-Epirob 2019 award nominees are presented below. The winners will be decided during the conference and announced on the final day.

Best paper award

The best paper award nominees are those that received the best evaluations from Associate Editors and reviewers. The final decision about the winner will be made by a jury of experts in fields covered by the conference. The nominees are:
  • Yasmin Kim Georgie, Guido Schillaci and Verena Vanessa Hafner: “An Interdisciplinary Overview of Developmental Indices and Behavioral Measures of the Minimal Self
  • Sara Schroer, Jennifer Schwade and Michael Goldstein: “A New Look at Infant Preference for Infant-Directed Speech
  • Alessandra Sciutti and Giulio Sandin: “The Role of Object Motion in Visuo-Haptic Exploration During Development
  • Steven Elmlinger, Umay Suanda, Smith Linda and Chen Yu: “Toddlers’ Hands Organize Parent-Toddler Attention across Different Social Contexts
  • Steven Elmlinger, Michael Goldstein and Jennifer Schwade: “Babbling Elicits Simplified Caregiver Speech: Findings from Natural Interaction and Simulation

MODELBot award

The nominees for the MODELBot award (MOdelling DEvelopment and Learning with robots and computers) were selected among the papers submitted to the MODELBot challenge. These are papers that establish a strong link between developmental studies on the one hand and robotic and /or computational modeling on the other hand. These will be presented in a common session and the winner decided by audience vote, based on which paper best fulfills the requirements of the MODELBot challenge, as outlined here: https://icdl-epirob2019.org/modelbot-challenge/. The nominees are:
  • Baris Serhan and Angelo Cangelosi:  “Replication of Infant Behaviours with a Babybot: Early Pointing Gesture Comprehension
  • Dong Hai Phuong Nguyen, Matej Hoffmann, Ugo Pattacini and Giorgio Metta: “Reaching Development through Visuo-Proprioceptive-Tactile Integration on a Humanoid Robot — a Deep Learning Approach
  • Anja Kristina Philippsen and Yukie Nagai: “A Predictive Coding Model of Representational Drawing in Human Children and Chimpanzees