Publications de Ana Paiva | EPFL Graph Search

Do Children Adapt Their Perspective to a Robot When They Fail to Complete a Task?

Pierre Dillenbourg, Elmira Yadollahi, Ana Paiva

Spatial understanding and communication are essential skills in human interaction. An adequate understanding of others' spatial perspectives can increase the quality of the interaction, both perceptually and cognitively. In this paper, we take the first st ...

Assoc Computing Machinery2022

Children Teach Handwriting to a Social Robot with Different Learning Competencies

Pierre Dillenbourg, Shruti Chandra, Ana Paiva

As robots are entering into educational fields to enhance children's learning, it becomes relevant to explore different methods of learning in the area of child-robot interaction. In this article, we present an autonomous educational system incorporating a ...

SPRINGER2020

Changing Perspective as A Learning Mechanism

Pierre Dillenbourg, Elmira Yadollahi, Ana Paiva

One of the numerous approaches that increases the interaction quality between two people is having a proper understanding of the other person's perspective. In this doctoral thesis, we aim to understand children's perspective taking behavior, create a pers ...

ASSOC COMPUTING MACHINERY2020

Using tabletop robots to promote inclusive classroom experiences

Wafa Monia Benkaouar Johal, Arzu Güneysu Özgür, Ana Paiva

Geometry and handwriting rely heavily on the visual representation of basic shapes. It can become challenging for students with visual impairments to perceive these shapes and understand complex spatial constructs. For instance, knowing how to draw is high ...

ACM2020

Walk the Talk! Exploring (Mis)Alignment of Words and Deeds by Robotic Teammates in a Public Goods Game

Shruti Chandra, Ana Paiva

This paper explores how robotic teammates can enhance and promote cooperation in collaborative settings. It presents a user study in which participants engaged with two fully autonomous robotic partners to play a game together, named "For The Record", a va ...

IEEE2019

Sensitivity To Perceived Mutual Understanding In Human-Robot Collaborations

Pierre Dillenbourg, Alexis David Jacq, Ana Paiva

In order to collaborate with humans, robots are often provided with a Theory of Mind (ToM) architecture. Such architectures can be evaluated by humans perception of the robot's adaptations. However, humans sensitivities to these adaptations are not the one ...

ASSOC COMPUTING MACHINERY2018

Do Children Perceive Whether a Robotic Peer is Learning or Not?

Pierre Dillenbourg, Hang Yin, Shruti Chandra, Ana Paiva

Social robots are being used to create better educational scenarios, thereby fostering children's learning. In the work presented here, we describe an autonomous social robot that was designed to enhance children's handwriting skills. Exploiting the benefi ...

ASSOC COMPUTING MACHINERY2018

When deictic gestures in a robot can harm child-robot collaboration

Pierre Dillenbourg, Wafa Monia Benkaouar Johal, Elmira Yadollahi, Ana Paiva

This paper describes research aimed at supporting children's reading practices using a robot designed to interact with children as their reading companion. We use a learning by teaching scenario in which the robot has a similar or lower reading level compa ...

ACM2018

An ensemble inverse optimal control approach for robotic task learning and adaptation

Aude Billard, Hang Yin, Ana Paiva

This paper contributes a novel framework to efficiently learn cost-to-go function representations for robotic tasks with latent modes. The proposed approach relies on the principle behind ensemble methods, where improved performance is obtained by aggregat ...

2019

Boosting Robot Learning and Control with Domain Constraints

Aude Billard, Hang Yin, Ana Paiva

RSS2018