MuscleIO

Author:

Duente Tim1,Schulte Justin1,Pfeiffer Max2,Rohs Michael1

Affiliation:

1. University of Hannover, Germany

2. University of Münster, Germany

Abstract

Receiving and reacting to notifications on mobile devices can be cumbersome. We propose MuscleIO, the use of electrical muscle stimulation (EMS) for notification output and electromyography (EMG) for reacting to notifications. Our approach provides a one-handed, eyes-free, and low-effort way of dealing with notifications. We built a prototype that interleaves muscle input and muscle output signals using the same electrodes. EMS and EMG alternate such that the EMG input signal is measured in the gaps of the EMS output signal, so voluntary muscle contraction is measured during muscle stimulation. Notifications are represented as EMS signals and are accepted or refused either by a directional or a time-based EMG response. A lab user study with 12 participants shows that the directional EMG response is superior to the time-based response in terms of reaction time, error rate, and user preference. Furthermore, the directional approach is the fastest and the most intuitive for users compared to a button-based smartwatch interface as a baseline.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards Improving Spatial Orientation using Electrical Muscle Stimulation as Tactile and Force Feedback;Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia;2023-12-03

2. Colorful Electrotactile Feedback on the Wrist;Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia;2023-12-03

3. How Do People with Limited Movement Personalize Upper-Body Gestures? Considerations for the Design of Personalized and Accessible Gesture Interfaces;The 25th International ACM SIGACCESS Conference on Computers and Accessibility;2023-10-22

4. Fingerhints: Understanding Users’ Perceptions of and Preferences for On-Finger Kinesthetic Notifications;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

5. A Framework and Call to Action for the Future Development of EMG-Based Input in HCI;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

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