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Giulia Leonardi

dblp:199/2721 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 50% Ubiquitous computing and smart environments · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies
embodied learning
0.412020
Embodied Learning in Immersive Smart Spaces · CHI 2020

Methods — techniques the papers use, named apart from their topics

full-body interaction · 0.4controlled study · 0.4
YearPublicationVenuePosition
2020 Embodied Learning in Immersive Smart Spaces
abstract
This paper presents the design and evaluation of IMAGINE, a novel interactive immersive smart space for embodied learning. In IMAGINE children use full-body movements and gestures to interact with multimedia educational contents projected on the wall and on the floor, while synchronized light effects enhance immersivity. A controlled study performed at a primary school with 48 children aged 6-8 highlights the educational potential of an immersive embodied solution, also compared to traditional teaching methods, and draws some implications for smart-space technology adoption in educational contexts.
Mirko Gelsomini, Giulia Leonardi, Franca Garzotto
CHI2
2017 Designing a Robot Companion for Children with Neuro-Developmental Disorders
abstract
The paper describes the design of a robot companion for children with Neurodevelopmental Disorders. This work; being informed by general design guidelines reported in the current literature, lessons learned from our own previous experience, meetings with a team of therapists and special educators, and a comparison with 21 well-known robots; shows that the combination of robots' design features and roles would eventually made a robot companion unique and potentially powerful with respect to existing robots for this target group.
Mirko Gelsomini, Marzia Degiorgi, Franca Garzotto, Giulia Leonardi, Simone Penati, Noëlie Ramuzat, Jacopo Silvestri, Francesco Clasadonte
IDC4
2017 Puffy - An inflatable robotic companion for pre-schoolers
abstract
Puffy is a learning and playful robotic companion for pre-school children. Designed in cooperation with a team of educators and inspired by Disney's Baymax, Puffy has a combination of features which makes it unique with respect to existing robots used in educational contexts. It is mobile and has an egg-shaped inflatable and soft body; it supports multimodal interaction, reacting to children's gestures and movements, facial expressions and emotions, and communicates using voice, lights, movements in space, and inside-out projections on its body. The paper describes the design of Puffy and discusses an exploratory study that has involved 79 children aged 4-5 at a local pre-school to investigate the Likeability of the robot and how much children enjoyed, engaged to and remembered some specific design features and play activities.
Marzia Degiorgi, Franca Garzotto, Mirko Gelsomini, Giulia Leonardi, Simone Penati, Noëlie Ramuzat, Jacopo Silvestri, Francesco Clasadonte, Yosuke Kinoe
RO-MAN4