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Leonor Portugal Da Fonseca

dblp:371/7599 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0003-4853-782XORCID · reported

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

Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021

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
Health and well-being technologies · 44% Ubiquitous computing and smart environments · 44% Design research and methods · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments
feedback design
0.812024
Understanding Feedback in Rhythmic Gymnastics Training: An Ethnographic-Informed Study of a Competition Class · CHI 2024
Health and well-being technologies › physical activity
sports training
0.812024
Understanding Feedback in Rhythmic Gymnastics Training: An Ethnographic-Informed Study of a Competition Class · CHI 2024
Design research and methods › field study
ethnographic study
0.212024
Understanding Feedback in Rhythmic Gymnastics Training: An Ethnographic-Informed Study of a Competition Class · CHI 2024

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

interviews · 0.8ethnography · 0.8
YearPublicationVenuePosition
2024 Understanding Feedback in Rhythmic Gymnastics Training: An Ethnographic-Informed Study of a Competition Class
abstract
Rhythmic Gymnastics is an Olympic sport that demands an exceptional level of expertise. From early age, athletes relentlessly practise exercises until they can flawlessly perform them before an audience and a panel of judges. Technology can potentially support rhythmic gymnasts’ training by monitoring gymnasts’ exercises and providing feedback on their execution. However, the limited understanding of the training nuances in Rhythmic Gymnastics restricts the development of technologies to support training. Drawing on the observation of training sessions and on interviews with athletes and coaches, this paper uncovers how coaches personalise feedback timing, type, form, format, and quantity, to adapt it to the gymnasts’ skill level and type of exercise. Taking stock of our findings, we draw out five implications that can inform the design of systems to support feedback in Rhythmic Gymnastics training.
Leonor Portugal Da Fonseca, Francisco Nunes, Paula Alexandra Silva
CHI1