research-article

Imprecise but Fun: Playful Interaction Using Electromyography

Authors:

Simon Thanheiser,

David Peterson,

Albrecht Schmidt,

Paweł W. WozniakAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue MHCI

Article No.: 190, Pages 1 - 21

https://doi.org/10.1145/3546725

Published: 20 September 2022 Publication History

Abstract

Novel input methods for game design often excite users, especially if they extend the way one interacts with the system. Electromyography (EMG) has the inherent potential to provide an intuitive - yet challenging - input channel for interactive systems. While this difficulty in control often limits the scope of applications for EMG in most systems, we argue that these qualities are especially relevant for games and playful interaction. The inherently challenging qualities of EMG input make the modality a prime candidate for designing body-centric playful experiences. Yet, we still need to understand its limitations to create engaging rather than frustrating experiences for users. In this work, we investigate EMG's potential to support playful interaction through exploratory studies, deriving feasible game interactions based on EMG's technical constraints, and study their application in game design. Based on our findings, we highlight design implications and pitfalls to avoid when creating EMG-based entertainment systems.

Supplementary Material

ZIP File (v6mhci190aux.zip)

- emg_mounting_manual: guide explaining how to mount the electrodes and connect the EMG device - pilot_questionnaire_results: detailed results for the questionnaire in the pilot study (same questions as used in Study I, see paper) - playful_emg: video and corresponding subtitles of the submission

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Supplemental video

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Cited By

Reed CMorrison LMcPherson AFierro DTanaka A(2024)Sonic Entanglements with Electromyography: Between Bodies, Signals, and RepresentationsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661572(2691-2707)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661572
Sehrt JFerreira LWeyers KMahmood AKosch TSchwind V(2024)Improving Electromyographic Muscle Response Times through Visual and Tactile Prior Stimulation in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642091(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642091
Eddy ECampbell EBateman SScheme E(2024)Understanding the influence of confounding factors in myoelectric control for discrete gesture recognitionJournal of Neural Engineering10.1088/1741-2552/ad491521:3(036015)Online publication date: 17-May-2024
https://doi.org/10.1088/1741-2552/ad4915
Show More Cited By

Index Terms

Imprecise but Fun: Playful Interaction Using Electromyography
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 6, Issue MHCI

MHCI

September 2022

852 pages

EISSN:2573-0142

DOI:10.1145/3564624

Editor:
Jeff Nichols
Apple Inc., United States

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Published: 20 September 2022

Published in PACMHCI Volume 6, Issue MHCI

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Reed CMorrison LMcPherson AFierro DTanaka A(2024)Sonic Entanglements with Electromyography: Between Bodies, Signals, and RepresentationsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661572(2691-2707)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661572
Sehrt JFerreira LWeyers KMahmood AKosch TSchwind V(2024)Improving Electromyographic Muscle Response Times through Visual and Tactile Prior Stimulation in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642091(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642091
Eddy ECampbell EBateman SScheme E(2024)Understanding the influence of confounding factors in myoelectric control for discrete gesture recognitionJournal of Neural Engineering10.1088/1741-2552/ad491521:3(036015)Online publication date: 17-May-2024
https://doi.org/10.1088/1741-2552/ad4915
Zhang YChen KSun Q(2023)Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle ContractionACM SIGGRAPH 2023 Conference Proceedings10.1145/3588432.3591495(1-12)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1145/3588432.3591495
Kosch TKarolus JZagermann JReiterer HSchmidt AWoźniak P(2023)A Survey on Measuring Cognitive Workload in Human-Computer InteractionACM Computing Surveys10.1145/358227255:13s(1-39)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3582272
Schön DKosch TMüller FSchmitz MGünther SBommhardt LMühlhäuser M(2023)Tailor Twist: Assessing Rotational Mid-Air Interactions for Augmented RealityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581461(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581461
Eddy ECampbell EPhinyomark ABateman SScheme E(2023)LibEMG: An Open Source Library to Facilitate the Exploration of Myoelectric ControlIEEE Access10.1109/ACCESS.2023.330454411(87380-87397)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3304544

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