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Yanitza Stambor

dblp:414/5664 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0008-0014-3470ORCID · 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
Interaction techniques and input · 62% Wearable and physiological sensing · 19% Learning and educational technologies · 19%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › non-visual interaction › auditory interaction › auditory display
sonification
0.912025
KneeEcho Box: A real-time sonification interface for improving temporal precision in ballet training · Int. J. Hum. Comput. Stud. 2025

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

computer vision · 0.9between-subjects study · 0.9MIDI sonification · 0.9
YearPublicationVenuePosition
2025 KneeEcho Box: A real-time sonification interface for improving temporal precision in ballet training
abstract
In ballet, synchronizing movement with music is essential for both technical precision and expressive performance. However, younger dancers often struggle with abstract concepts such as timing due to the lack of continuous, personalized feedback in traditional instruction. This paper introduces KneeEcho Box, an interactive sonification interface for ballet training that uses real-time computer vision to track knee movements during the plié and translates them into MIDI-based xylophone tones, reminiscent of a music box. KneeEcho Box was evaluated in a between-subjects study with 22 young ballet dancers. Results show that sonification enhanced movement precision, spatiotemporal awareness, and user engagement, particularly among younger participants. These findings suggest that integrating interactive auditory feedback into ballet practice can enrich traditional instruction and open new avenues for research at the intersection of human–computer interaction and the performing arts.
Yanitza Stambor, María Concepción Valdez Gastelum, Monica Tentori
Int. J. Hum. Comput. Stud.1