A Retrospective Autoethnography Documenting Dance Learning Through Data Physicalisations - EnsadLab
Communication Dans Un Congrès Année : 2024

A Retrospective Autoethnography Documenting Dance Learning Through Data Physicalisations

Tove Grimstad Bang
Guro Tyse
Elisabeth Schwartz

Résumé

We present a retrospective autoethnography grounded in data-driven design. The first author collected her movement data and subjective experience of learning the dance repertoire of modern dance pioneer Isadora Duncan, which together were encoded into the design of a set of plaster artefacts physicalising her embodied dance learning progression. The artefacts reflect the first author's bodily transformation, mirroring her transition from discomfort to ease, and changes in her expressive capabilities. Our method offers an alternative to documentation of embodied learning through design. Throughout our design process we leverage on the movement data, the field notes and the first author's memory of her journey, all of which constitute entangled and complementary input into her experience of dance learning. We show that the data physicalisations provided a gateway into the intangible experience and allowed for a deep and reflexive understanding of our dataset.
Fichier principal
Vignette du fichier
DIS2024_Data_Phys__published_.pdf (55.52 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
licence
Copyright (Tous droits réservés)

Dates et versions

hal-04691914 , version 1 (10-09-2024)

Licence

Copyright (Tous droits réservés)

Identifiants

Citer

Tove Grimstad Bang, Sarah Fdili Alaoui, Guro Tyse, Elisabeth Schwartz, Frederic Bevilacqua. A Retrospective Autoethnography Documenting Dance Learning Through Data Physicalisations. DIS 2024 - Designing Interactive Systems Conference, ACM, Jul 2024, Copenhagen, Denmark. pp.2357 - 2373, ⟨10.1145/3643834.3661607⟩. ⟨hal-04691914⟩
92 Consultations
6 Téléchargements

Altmetric

Partager

More