Publications

User Clustering Visualization and Its Impact on Motion-Based Interaction Design

Published in Lecture Notes in Computer Science book series (LNCS,volume 14011), 2023

Movement-based interaction design relies on sensor data analysis and higher-level feature extraction to represent human movement. However, challenges to effectively using movement data include building computational tools that allow exploring feature extraction technology as design material, and the need for visual representations that help designers better understand the contents of movement. This paper presents an approach for visualizing user clustering descriptors to enhance the practitioners’ ability to use human motion in interaction design. Read more

Recommended citation: Escamilla, A., Melenchón, J., Monzo, C., Moran, J.A. (2023). User Clustering Visualization and Its Impact on Motion-Based Interaction Design. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14011. Springer, Cham. https://doi.org/10.1007/978-3-031-35596-7_4 https://link.springer.com/chapter/10.1007/978-3-031-35596-7_4

Sesquialtera in the Colombian Bambuco: Perception and Estimation of Beat and Meter – Extended version

Published in Transactions of the International Society for Music Information Retrieval, 2021

Bambuco, one of the national rhythms of Colombia, is characterized by the presence of sesquialtera or the superposition of rhythmic elements from a simple and a compound meter. In this work, we analyze bambucos from three perspectives. First, we analyze the perception of beat and meter by asking 10 Colombian musicians to perform beat annotations in a dataset of bambucos. To get a better understanding of which elements influence meter perception in bambucos, elements in three categories (composition, performance and audio production) were identified in our second study, and summarized for our bambuco dataset. In our third study, we use state-of-the-art computational tools for beat and meter analysis to extract beat positions. Read more

Recommended citation: Cano, E., Mora-Ángel, F., Gil, G.A.L., Zapata, J.R., Escamilla, A., Alzate, J.F. and Betancur, M (2021). "Sesquialtera in the Colombian Bambuco: Perception and Estimation of Beat and Meter – Extended version." Transactions of the International Society for Music Information Retrieval. 4(1), pp.248–262. https://transactions.ismir.net/article/10.5334/tismir.118/

Interaction designers’ perceptions of using motion-based full-body features

Published in International Journal of Human-Computer Studies, 2021

Sensor-based interaction design relies on sensor data analysis and higher-level feature extraction to improve detection capabilities. However, understanding human movement to inform the design of motion-based interactions is not straightforward if the detection capabilities of interaction technologies are unknown. We aim at understanding the problems and opportunities that practitioners—regardless of their technical background—perceive in using different motion-based full-body features. Read more

Recommended citation: Escamilla, A., Melenchón, J., Monzo, C., & Morán, J. A. (2021). "Interaction designers’ perceptions of using motion-based full-body features." International Journal of Human-Computer Studies. 155, 102697. https://www.sciencedirect.com/science/article/pii/S1071581921001154

Sesquialtera in the Colombian Bambuco: Perception and Estimation of Beat and Meter

Published in Proc. Int. Soc. Music Inf. Retrieval Conf, 2020

In this work, we analyze sesquialteras in bambucos from two perspectives. First, we analyze the perception of beat and meter by asking 10 Colombian musicians to perform beat annotations in a dataset of bambucos. Second, we perform a beat tracking analysis in a dataset of bambucos with two state-of-the-art algorithms. A deeper analysis of the onset detection functions used for beat tracking, indicate that there is enough information on the signal level to characterize the bi-metric behavior of bambucos. With this in mind, we highlight possibilities for computational analysis of rhythm in bambucos. Read more

Recommended citation: Cano, Estefanía, Fernando Mora-Ángel, Gustavo A. López Gil, José R. Zapata, Antonio Escamilla, Juan F. Alzate, and Moisés Betancur. (2020). "Sesquialtera in the colombian bambuco: Perception and estimation of beat and meter." in Proc. Int. Soc. Music Inf. Retrieval Conf. pp. 409-415. 2020. https://program.ismir2020.net/poster_3-11.html