Sensing Movement: Contemporary Dance Workshops with People who are Blind or have Low Vision and Dance Teachers
Madhuka Thisuri De Silva, Jim Smiley, Sarah Goodwin, Leona M. Holloway, Matthew Butler
Abstract
Dance teachers rely primarily on verbal instructions and visual demonstrations to convey key dance concepts and movement. These techniques, however, have limitations in supporting students who are blind or have low vision (BLV). This work explores the role technology can play in supporting instruction for BLV students, as well as improvisation with their instructor. Through a series of design workshops with dance instructors and BLV students, ideas were generated by physically engaging with probes featuring diverse modalities including tactile objects, a body tracked sound and musical probe, and a body tracked controller with vibrational feedback. Implications for the design of supporting technologies were discovered for four contemporary dance learning goals: learning a phrase; improvising; collaborating through movement; and awareness of body and movement qualities. We discuss the potential of numerous multi-sensory methods and artefacts, and present design considerations for technologies to support meaningful dance instruction and participation.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 56ae316e-aede-4cf0-bde9-cf839be17909Cited by top-tier papers1
Ask how each one uses itBuilds on6
- Weaving by Touch: A Case Analysis of Accessible MakingMaitraye Das, Katya Borgos-Rodriguez, Anne Marie PiperCHI 2020 · 61 citations
- Accessible Data Representation with Natural SoundMd. Naimul Hoque, Md Ehtesham-Ul-Haque, Niklas Elmqvist, Syed Masum BillahCHI 2023 · 31 citations
- Exploring Collaborative Movement Improvisation Towards the Design of LuminAI - a Co-Creative AI Dance PartnerMilka Trajkova, Duri Long, Manoj Deshpande, Andrea Knowlton et al.CHI 2024 · 24 citations
- Designing in Conversation With Dance PracticeTove Grimstad Bang, Sarah Fdili Alaoui, Elisabeth SchwartzCHI 2023 · 22 citations
- Embodying the Algorithm: Exploring Relationships with Large Language Models Through Artistic PerformanceMirabelle Jones, Christina Neumayer, Irina ShklovskiCHI 2023 · 20 citations
Related papers
- Project TapTap: A Longitudinal Study Exploring Non-Verbal Communication through Vibration Signals Between Teachers and Blind or Low Vision Music LearnersLeon Lu, Chase Crispin, Ziyue Piao, Aino Eze-Anyanwu et al.CHI 2025 · 7 citations
- "It's Like Being On Stage": Conveying Dancers' Expressiveness Through A Haptic-Installed Contemporary Dance PerformanceXiming Shen, Xuan Li, Youichi Kamiyama, Danny Hynds et al.CHI 2025 · 15 citations
- From Selfie Stick to Virtual Cane: Enabling Blind Exploration through Mobile Virtual RealityHao Tang, Hong Zhao, Xinpeng Liu, Zhenchao Xia et al.CHI 2026
- Three Modalities, Two Design Probes, One Prototype, and No Vision: Experience-Based Co-Design of a Multi-modal 3D Data Visualization ToolSanchita S. Kamath, Aziz N. Zeidieh, Venkatesh Potluri, Sile O'Modhrain et al.CHI 2026
- Exploring the Design Space for Immersive Embodiment in DanceDanielle M. Lottridge, Rebecca Weber, Eva-Rae McLean, Hazel Williams et al.IEEE VR 2022 · 11 citations
