Publications de Jauwairia Nasir

PE-HRI-temporal: A Multimodal Temporal Dataset in a robot mediated Collaborative Educational Setting

Pierre Dillenbourg, Jauwairia Nasir, Barbara Bruno

Please note that this dataset corresponds to the training data used in "Social robots as skilled ignorant peers for supporting learning "[7]. This (second) version of the dataset additionally includes labels (PE score and cluster labels for each datapoint) ...

Zenodo2024

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

Jauwairia Nasir, Daniel Carnieto Tozadore

This year's conference theme "HRI for all" not just raises the importance of reflecting on how to promote inclusion for every type of user but also calls for careful consideration of the different layers of people potentially impacted by such systems. In e ...

ASSOC COMPUTING MACHINERY2023

Questioning Wizard of Oz: Effects of Revealing the Wizard behind the Robot

Pierre Dillenbourg, Pierre Pravin Oppliger, Jauwairia Nasir, Barbara Bruno

Wizard of Oz, a very commonly employed technique in human-robot interaction, faces the criticism of being deceptive as the humans interacting with the robot are told, if at all, only at the end of their interaction that there was in fact a human behind the ...

IEEE2022

Introducing Productive Engagement for Social Robots Supporting Learning

Jauwairia Nasir

We have all been one such student or seen such students who can maintain the 'good student' image while playing a video game under the table or those loyal backbenchers, seemingly always distracted, who then ace their exams. These intricacies of human beha ...

EPFL2022

What if Social Robots look for Productive Engagement?

Pierre Dillenbourg, Jauwairia Nasir, Barbara Bruno

In educational HRI, it is generally believed that a robots behavior has a direct effect on the engagement of a user with the robot, the task at hand and also their partner in case of a collaborative activity. Increasing this engagement is then held respons ...

2022

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

Jauwairia Nasir, Barbara Bruno

In this paper, we propose and compare personalized models for Productive Engagement (PE) recognition. PE is defined as the level of engagement that maximizes learning. Previously, in the context of robot-mediated collaborative learning, a framework of prod ...

2022

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

Pierre Dillenbourg, Jauwairia Nasir, Barbara Bruno, Aditi Kothiyal

SPRINGER2022

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

Pierre Dillenbourg, Mortadha Abderrahim, Jauwairia Nasir, Aditi Kothiyal

The learning process depends on the nature of the learning environment, particularly in the case of open-ended learning environments, where the learning process is considered to be non-linear. In this paper, we report on the findings of employing a multimo ...

2022

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

Pierre Dillenbourg, Jauwairia Nasir, Barbara Bruno, Aditi Kothiyal

Understanding how learners engage with learning technologies, and its relation with their learning, is crucial to the design of effective learning interventions. Assessing the learners’ state however, is non-trivial. Research suggests that performance is n ...

2021

A Social Robot That Looks For Productive Engagement

Pierre Dillenbourg, Jauwairia Nasir, Barbara Bruno

In educational HRI, it is generally believed that a robots behavior has a direct effect on the engagement of a user with the robot, the task at hand and also their partner in case of a collaborative activity. Increasing this engagement is then held respons ...

2021

Engagement in Human-Agent Interaction: An Overview

Catharine Regina Monika Maria Oertel Genannt Bierbach, Jauwairia Nasir

Engagement is a concept of the utmost importance in human-computer interaction, not only for informing the design and implementation of interfaces, but also for enabling more sophisticated interfaces capable of adapting to users. While the notion of engage ...

2020

When Positive Perception of the Robot Has No Effect on Learning

Pierre Dillenbourg, Jauwairia Nasir, Utku Norman, Barbara Bruno

Humanoid robots, with a focus on personalised social behaviours, are increasingly being deployed in educational settings to support learning. However, crafting pedagogical HRI designs and robot interventions that have a real, positive impact on participant ...

IEEE2020

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

Pierre Dillenbourg, Jauwairia Nasir, Barbara Bruno

Intelligent Tutoring Systems (ITS) are required to intervene in a learning activity while it is unfolding, to support the learner. To do so, they often rely on performance of a learner, as an approximation for engagement in the learning process. However, i ...

2020

Robot Analytics: What Do Human-Robot Interaction Traces Tell Us About Learning?

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Jennifer Kaitlyn Olsen, Sina Shahmoradi, Jauwairia Nasir, Utku Norman

In this paper, we propose that the data generated by educational robots can be better used by applying learning analytics methods and techniques which can lead to a deeper understanding of the learners’ apprehension and behavior as well as refined guidelin ...

IEEE2019

Orchestration of Robotic Activities in Classrooms: Challenges and Opportunities

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Stian Haklev, Jennifer Kaitlyn Olsen, Sina Shahmoradi, Jauwairia Nasir, Utku Norman

Bringing robots into classrooms presents a new set of challenges for classroom management and teacher support compared to traditional technology-enhanced learning and has been left almost unexplored by the research community. In this paper, we present the ...

Springer, Cham2019

Applying IDC theory to education in the Alps region: A response to Chan et al.’s contribution

Pierre Dillenbourg, Kevin Gonyop Kim, Shuqing Teresa Yeo, Jennifer Kaitlyn Olsen, Jauwairia Nasir

In this paper, we present a response to the Interest-Driven Creator (IDC) Theory from a European perspective. Specifically, we raise six questions intended to start a dialogue with respect to IDC Theory’s placement in existing learning theories, its adopti ...

2019

Learning By Collaborative Teaching : An Engaging Multi-Party CoWriter Activity

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Laila Abdelsalam El-Hamamsy, Wafa Monia Benkaouar Johal, Jauwairia Nasir

This paper presents the design of a novel and engaging collaborative learning activity for handwriting where a group of participants simultaneously tutor a Nao robot. This activity was intended to take advantage of both collaborative learning and the learn ...

2019