Descrizione del progetto
Mantenere gli umani al corrente quando interagiscono con i robot
I progressi nell’informatica, nell’ingegneria e nella scienza meccanica ed elettronica hanno portato la robotica e l’automazione a modificare per sempre il posto di lavoro. La crescente interazione con l’intelligenza artificiale può anche far incorrere gli esseri umani nel fenomeno «out-of-the-loop» (OOTL, fuori dal giro) che rende difficile prevedere e prevenire i fallimenti. Il progetto TeAMH-Robot, finanziato dall’UE, affronterà questo problema. Svilupperà un’efficace interazione uomo-robot al fine di proteggersi dal fenomeno OOTL quando si interagisce con i robot. Approfondirà in che modo gli esseri umani possono restare aggiornati quando si verificano errori e come garantire il coordinamento in tempo reale. I risultati promuoveranno lo sfruttamento dei robot nella vita di tutti i giorni.
Obiettivo
In the near future, the advent of robots will change the role that artificial agents play in our life, as the interaction with them will not be limited to specialized and well-structured work environments. When interacting with artificial agents, humans often occur into the Out of The Loop phenomenon (OOTL), that is a difficulty to predict and prevent failures, probably due to a lack of transparency in artificial agents actions. The overarching aim of TeAMH-Robot is to develop a model of Human-Robot Interaction (HRI) that will prevent the OOTL phenomenon when interacting with robots. To this end, TeAMH-Robot will use a novel approach to develop efficient HRI that combines cognitive neuroscience methods with real-time interactive tasks with a humanoid robot. Firstly, TeAMH-Robot will aim to understand how temporal adaptation and anticipation mechanisms allow humans to “stay in the loop” when mistakes occur. Then, TeAMH-Robot will use this knowledge to develop a human-inspired module for humanoid robots that ensure real-time coordination. Finally, TeAMH-Robot will test the efficiency of human-inspired behaviour in reducing the impact of the OOTL phenomenon. The outgoing phase will be hosted by the Western Sydney University (Australia), where the ER will (i) identify and (ii) model temporal adaptation and anticipation mechanisms that allow humans to predict, prevent and recover mistakes. The return phase will be hosted by the Italian Institute of Technology (Italy), where the ER will (iii) develop a module for humanoid robots that ensure real-time coordination and (iv) test its efficiency in reducing the OOTL by means of the acquired neurocognitive methods. TeAMH-Robot will increase ER’s expertise on social cognitive mechanisms and allow her to start her independency. Moreover, the fellowship will enable the ER to build an international and interdisciplinary network. The results of TeAMH-Robot have the potential to promote the exploitation of robots in everyday life.
Campo scientifico
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
16163 Genova
Italia