ABSTRACT
Movement research and practice in the context of wearable technologies and human-computer interaction (HCI) shifts the design paradigm to the lived body. Human movement is characterized by sense, intention and expressiveness. Designing HCI from this standpoint opens up new possibilities to make computational devices and applications more accessible and integrated. This work presents an iterative, collaborative, and cross-disciplinary approach using wearable sensor bands in an open-ended performative exploration in exchange with a professional dancer. The goal is to understand the benefits and challenges of using movement-centered tools originating from dance practice and movement research and how they might feed back into the design, development and evaluation process of embodied technologies to improve human-computer interactions. Movement analysis systems and motion computation models are reviewed and leveraged in an interactive audiovisual system, with focus on using force-sensing resistors for low-level motion descriptors and Laban Movement Analysis for higher-level movement features. The artistic methodology, which combines practice and research, results, discussion of the iterative and collaborative process, and the final system architecture are the main topics presented in the paper.
- Susanne Bødker. 2006. When second wave HCI meets third wave challenges. In Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles. 1–8.Google ScholarDigital Library
- Linda Candy. 2014. Evaluation and experience in art. In Interactive Experience in the Digital Age. Springer, 25–48.Google Scholar
- Erin A Carroll, Danielle Lottridge, Celine Latulipe, Vikash Singh, and Melissa Word. 2012. Bodies in critique: a technological intervention in the dance production process. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. 705–714.Google ScholarDigital Library
- Marco Donnarumma. 2017. Beyond the cyborg: performance, attunement and autonomous computation. International Journal of Performance Arts and Digital Media 13, 2(2017), 105–119.Google ScholarCross Ref
- Sarah Fdili Alaoui, Jules Françoise, Thecla Schiphorst, Karen Studd, and Frederic Bevilacqua. 2017. Seeing, sensing and recognizing Laban movement qualities. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 4009–4020.Google ScholarDigital Library
- Sarah Fdili Alaoui, Thecla Schiphorst, Shannon Cuykendall, Kristin Carlson, Karen Studd, and Karen Bradley. 2015. Strategies for embodied design: The value and challenges of observing movement. In Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition. 121–130.Google ScholarDigital Library
- Maiken Hillerup Fogtmann, Jonas Fritsch, and Karen Johanne Kortbek. 2008. Kinesthetic interaction: revealing the bodily potential in interaction design. In Proceedings of the 20th Australasian conference on computer-human interaction: designing for habitus and habitat. 89–96.Google ScholarDigital Library
- Leire Francés-Morcillo, Paz Morer-Camo, María Isabel Rodríguez-Ferradas, and Aitor Cazón-Martín. 2020. Wearable design requirements identification and evaluation. Sensors 20, 9 (2020), 2599.Google ScholarCross Ref
- Andrea Giomi. 2020. Somatic sonification in dance performances. From the Artistic to the Perceptual and Back. In Proceedings of the 7th International Conference on Movement and Computing. 1–8.Google ScholarDigital Library
- Tobias Großhauser, Bettina Bläsing, Corinna Spieth, and Thomas Hermann. 2012. Wearable sensor-based real-time sonification of motion and foot pressure in dance teaching and training. Journal of the Audio Engineering Society 60, 7/8 (2012), 580–589.Google Scholar
- Lauren Hayes. 2019. Beyond skill acquisition: Improvisation, interdisciplinarity, and enactive music cognition. Contemporary Music Review 38, 5 (2019), 446–462.Google ScholarCross Ref
- Kristina Hook. 2018. Designing with the body: Somaesthetic interaction design. MIT Press.Google Scholar
- Stacy Hsueh, Sarah Fdili Alaoui, and Wendy E Mackay. 2019. Understanding Kinaesthetic Creativity in Dance. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–12.Google ScholarDigital Library
- Andy Hunt and Ross Kirk. 2000. Mapping strategies for musical performance. Trends in gestural control of music 21, 2000 (2000), 231–258.Google Scholar
- Muhammad R. U. Islam and Shaoping Bai. 2019. Payload estimation using forcemyography sensors for control of upper-body exoskeleton in load carrying assistance. Modeling, Identification and Control 40, 4 (2019), 189–198.Google ScholarCross Ref
- Elizabeth Jochum and Jeroen Derks. 2019. Tonight We Improvise! Real-time tracking for human-robot improvisational dance. In Proceedings of the 6th International Conference on Movement and Computing. 1–11.Google ScholarDigital Library
- Andrew Johnston. 2014. Keeping research in tune with practice. In Interactive Experience in the Digital Age. Springer, 49–62.Google Scholar
- Prithvi Kantan, Erika G Spaich, and Sofia Dahl. 2022. A Technical Framework for Musical Biofeedback in Stroke Rehabilitation. IEEE Transactions on Human-Machine Systems(2022).Google ScholarCross Ref
- Rudolf Laban and Lisa Ullmann. 1971. The mastery of movement.(1971).Google Scholar
- Caroline Larboulette and Sylvie Gibet. 2015. A review of computable expressive descriptors of human motion. In Proceedings of the 2nd International Workshop on Movement and Computing. 21–28.Google ScholarDigital Library
- Lian Loke and Toni Robertson. 2008. Inventing and devising movement in the design of movement-based interactive systems. In Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat. 81–88.Google ScholarDigital Library
- Jakub Ryszard Matyja and Andrea Schiavio. 2013. Enactive music cognition: background and research themes.Constructivist foundations 8, 3 (2013).Google Scholar
- Teoma Jackson Naccarato and John MacCallum. 2016. From representation to relationality: Bodies, biosensors and mediated environments. Journal of Dance & Somatic Practices 8, 1 (2016), 57–72.Google ScholarCross Ref
- Joseph Paradiso, Eric Hu, and KY Hsiao. 1999. The cybershoe: A wireless multisensor interface for a dancer’s feet. Proceedings of International Dance and Technology 99 (1999), 57–60.Google Scholar
- Katerina El Raheb, Marina Stergiou, Akrivi Katifori, and Yannis Ioannidis. 2019. Dance interactive learning systems: A study on interaction workflow and teaching approaches. ACM Computing Surveys (CSUR) 52, 3 (2019), 1–37.Google ScholarDigital Library
- I-M Sarivan, Johannes N Greiner, D Díez Álvarez, Felix Euteneuer, Matthias Reichenbach, Ole Madsen, and Simon Bøgh. 2020. Enabling real-time quality inspection in smart manufacturing through wearable smart devices and deep learning. Procedia Manufacturing 51 (2020), 373–380.Google ScholarCross Ref
- Wayne Siegel and Jens Jacobsen. 1998. The challenges of interactive dance: An overview and case study. Computer Music Journal 22, 4 (1998), 29–43.Google ScholarCross Ref
- Katta Spiel. 2021. The Bodies of TEI–Investigating Norms and Assumptions in the Design of Embodied Interaction. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction. 1–19.Google ScholarDigital Library
- Seth Dominicus Thorn, Halley Willcox, and Sha Xin Wei. 2020. Processual and Experiential Design in Wearable Music Workshopping. In Proceedings of the 7th International Conference on Movement and Computing. 1–8.Google ScholarDigital Library
- Rachelle Palnick Tsachor and Tal Shafir. 2019. How shall I count the ways? A method for quantifying the qualitative aspects of unscripted movement with laban movement analysis. Frontiers in psychology 10 (2019), 572.Google Scholar
- Danielle Wilde, Anna Vallgårda, and Oscar Tomico. 2017. Embodied design ideation methods: analysing the power of estrangement. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 5158–5170.Google ScholarDigital Library
- Zhen G Xiao and Carlo Menon. 2014. Towards the development of a wearable feedback system for monitoring the activities of the upper-extremities. Journal of neuroengineering and rehabilitation 11, 1(2014), 1–13.Google ScholarCross Ref
- Liwei Zhao. 2001. Synthesis and acquisition of laban movement analysis qualitative parameters for communicative gestures. University of Pennsylvania.Google ScholarDigital Library
- Qiushi Zhou, Cheng Cheng Chua, Jarrod Knibbe, Jorge Goncalves, and Eduardo Velloso. 2021. Dance and Choreography in HCI: A Two-Decade Retrospective. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–14.Google ScholarDigital Library
Index Terms
- Dance and Movement-Led Research for Designing and Evaluating Wearable Human-Computer Interfaces
Recommendations
The Body Beyond Movement: (Missed) Opportunities to Engage with Contemporary Dance in HCI
TEI '21: Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied InteractionThis paper argues that a significant paradigm change in contemporary dance can offer further opportunities for HCI researchers interested in embodied interaction and interactive system design. Based on the analysis of 42 HCI papers in our data set, ...
Movement-based interactive dance performance
MM '06: Proceedings of the 14th ACM international conference on MultimediaMovement-based interactive dance has recently attracted great interest in the performing arts. While utilizing motion capture technology, the goal of this project was to design the necessary real-time motion analysis engine, staging, and communication ...
Establishing a musical channel of communication between dancers and musicians in computer-mediated collaborations in dance performance
NIME '07: Proceedings of the 7th international conference on New interfaces for musical expressionIn this demonstration, I exemplify how a musical channel of communication can be established in computer-mediated interaction between musicians and dancers in real time. This channel of communication uses a software library implemented as a library of ...
Comments