JUSThink

Example scenes of children and the robot participanting in the JUSThink activities

JUSThink project aims to improve the computational thinking skills of children, by exercising algorithmic reasoning with and through graphs, where graphs are posed as a way to represent, reason with and solve a problem. It targets at fostering children’s understanding of abstract graphs through a collaborative problem-solving task mediated by a humanoid robot (QTrobot).

Our goal is to build intelligent autonomous social robots that can promote children’s learning by assisting teachers through complementary activities; by equipping the robot with:

  1. the ability to understand engaging behaviors of students that are conducive to learning and provide suggestions accordingly: lead by Jauwairia Nasir
  2. mutual understanding skills so that the robot can “put itself in the child’s shoes”: lead by Utku Norman

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 765955 (the ANIMATAS Project).

  • Jauwairia Nasir, Barbara Bruno, & Pierre Dillenbourg. (2021). PE-HRI-temporal: A Multimodal Temporal Dataset in a robot mediated Collaborative Educational Setting [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5576058
  • Nasir, Jauwairia, Norman, Utku, Bruno, Barbara, Chetouani, Mohamed, & Dillenbourg, Pierre. (2021). PE-HRI: A Multimodal Dataset for the study of Productive Engagement in a robot mediated Collaborative Educational Setting [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4633092
  • Norman, Utku, Dinkar, Tanvi, Nasir, Jauwairia, Bruno, Barbara, Clavel, Chloé, & Dillenbourg, Pierre. (2021). JUSThink Dialogue and Actions Corpus (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4627104

Publications

2023

An HMM-based Real-time Intervention Methodology for a Social Robot Supporting Learning

J. Nasir; M. Abderrahim; B. Bruno; P. Dillenbourg 

2023-01-01. 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, SOUTH KOREA, AUG 28-31, 2023. p. 2204-2211. DOI : 10.1109/RO-MAN57019.2023.10309430.

Robots for Learning 7 (R4L): A Look from Stakeholders’ Perspective

D. C. Tozadore; J. Nasir; S. Gillet; R. van den Berghe; A. Guneysu et al. 

2023-01-01. 18th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), Stockholm, SWEDEN, Mar 13-16, 2023. p. 935-937. DOI : 10.1145/3568294.3579958.

Computational Models of Mutual Understanding for Human-Robot Collaborative Learning

U. Norman / P. Dillenbourg (Dir.)  

Lausanne, EPFL, 2023. 

2022

Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Do

U. Norman; T. Dinkar; B. Bruno; C. Clavel 

Dialogue & Discourse. 2022-08-06. Vol. 13, num. 2, p. 1-48. DOI : 10.5210/dad.2022.201.

Many are the ways to learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities (vol 16, pg 485, 2021)

J. Nasir; A. Kothiyal; B. Bruno; P. Dillenbourg 

International Journal Of Computer-Supported Collaborative Learning. 2022-05-12. DOI : 10.1007/s11412-022-09368-8.

A Case for the Design of Attention and Gesture Systems for Social Robots

R. Maure; E. A. Wengle; U. Norman; D. C. Tozadore; B. Bruno 

2022-01-01. 14th International Conference on Social Robotics (ICSR) – Social Robots for Assisted Living and Healthcare, Emphasizing on the Increasing Importance of Social Robotics in Human Daily Living and Society, Florence, ITALY, Dec 13-16, 2022. p. 367-377. DOI : 10.1007/978-3-031-24667-8_33.

Introducing Productive Engagement for Social Robots Supporting Learning

J. Nasir / P. Dillenbourg; B. Bruno (Dir.)  

Lausanne, EPFL, 2022. 

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

V. Vikashini; H. Salam; J. Nasir; B. Bruno; O. Celiktutan 

2022. 24th ACM International Conference on Multimodal Interaction (ICMI), Bangalore, India, November 7-11, 2022. p. 632-641.

Temporal Pathways to Learning: How Learning Emerges in an Open-ended Collaborative Activity

J. Nasir; M. Abderrahim; A. Kothiyal; P. Dillenbourg 

Computers & Education: Artificial Intelligence. 2022. Vol. 3, p. 100093. DOI : 10.1016/j.caeai.2022.100093.

Efficacy of a ‘Misconceiving’ Robot to Improve Computational Thinking in a Collaborative Problem Solving Activity: A Pilot Study

U. Norman; A. Chin; B. Bruno; P. Dillenbourg 

2022. 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), Naples, Italy, August 29 – September 2, 2022. DOI : 10.1109/RO-MAN53752.2022.9900775.

What if Social Robots look for Productive Engagement?

J. Nasir; B. Bruno; M. Chetouani; P. Dillenbourg 

International Journal of Social Robotics. 2022. Vol. 14, p. 55–71. DOI : 10.1007/s12369-021-00766-w.

2021

Mutual Modelling Ability for a Humanoid Robot: How can it improve my learning as we solve a problem together?

U. Norman; B. Bruno; P. Dillenbourg 

2021-03-12. Robots for Learning Workshop in 16th annual IEEE/ACM Conference on Human-Robot Interaction (HRI 2021), Virtual Conference, March 9-11, 2021.

Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities

J. Nasir; A. Kothiyal; B. Bruno; P. Dillenbourg 

International Journal of Computer-Supported Collaborative Learning. 2021. Vol. 16, p. 485–523. DOI : 10.1007/s11412-021-09358-2.

A Social Robot That Looks For Productive Engagement

J. Nasir; B. Bruno; P. Dillenbourg 

2021. Robots for Learning workshop at 16th annual ACM/IEEE International Conference on Human-Robot Interaction, Online conference, March 9-11, 2021.

2020

When Positive Perception of the Robot Has No Effect on Learning

J. Nasir; U. Norman; B. Bruno; P. Dillenbourg 

2020-08-31. 29th IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN), Virtual Conference, Aug 31 – Sept 4, 2020. p. 313-320. DOI : 10.1109/RO-MAN47096.2020.9223343.

Is There ‘ONE way’ of Learning? A Data-driven Approach

J. Nasir; B. Bruno; P. Dillenbourg 

2020. 22nd ACM International Conference on Multimodal Interaction, Virtual event, Netherlands, October 25-29, 2020. p. 388–391. DOI : 10.1145/3395035.3425200.

You Tell, I Do, and We Swap until we Connect All the Gold Mines!

J. Nasir; U. Norman; B. Bruno; P. Dillenbourg 

ERCIM News. 2020-01-01. Vol. 2020, num. 120, p. 22-23.