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VibPress: estimating pressure input using vibration absorption on mobile devices

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MobileHCI '13: Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services

Pages 31 - 34

https://doi.org/10.1145/2493190.2493193

Published: 27 August 2013 Publication History

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Abstract

This paper introduces VibPress, a software technique that enables pressure input interaction on mobile devices by measuring the level of vibration absorption with the built-in accelerometer when the device is in contact with a damping surface (e.g., user's hands). This is achieved using a real-time estimation algorithm running on the device. Through a user evaluation, we provide evidence that this system is faster than previous software-based approaches, and accurate as hardware-augmented approaches (up to 99.7% accuracy). With this work, we also provide an insight about the maximum number of pressure levels that users can reliably distinguish, reporting usability metrics (time, errors and cognitive load) for different pressure levels and types of gripping gestures (press and squeeze).

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References

[1]

Boring, S., Ledo, D., Chen, X., Marquardt, N., Tang, A., Greenberg, S.,The Fat Thumb: Using the Thumb's Contact Size for Single-Handed Mobile Interaction, In Proc. of MobileHCI, (2012), 39--48.

Digital Library

Google Scholar

[2]

Brewster, S.A., Hughes, M., Pressure-based text entry for mobile devices, In Proc. of MobileHCI, (2009).

Digital Library

Google Scholar

[3]

Cechanowicz, J., Irani, P., Subramanian, S., Augmenting the mouse with pressure sensitive input, In Proc. of CHI, (2007), 1385--1394.

Digital Library

Google Scholar

[4]

Goel, M., Wobbrock, J.O., Patel, S.N., GripSense: Using Built-In Sensors to Detect Hand Posture and Pressure on Commodity Mobile Phones, In Proc. of UIST, (2012), 545--554.

Digital Library

Google Scholar

[5]

Hart, S.G., Staveland, L.E., Development of a multidimensional workload rating scale, Human Mental Workload. Elsevier, (1988), 139--183.

Google Scholar

[6]

Heo, S., Lee, G., Forcetap: extending the input vocabulary of mobile touch screens by adding tap gestures, In Proc. of MobileHCI, (2011), 113--122.

Digital Library

Google Scholar

[7]

Hwang,S., Bianchi,A., Wohn, K., MicPen: pressuresensitive pen interaction using microphone with standard touchscreen, In Proc. of CHI EA, (2012), 18471852.

Digital Library

Google Scholar

[8]

Hwang, S., Wohn, K., PseudoButton: enabling pressuresensitive interaction by repurposing microphone on mobile device, In Proc. of CHI EA, (2012), 1565--1570.

Digital Library

Google Scholar

[9]

Iwasaki,K., Miyaki,T., Rekimoto, J., Expressive typing: a new way to sense typing pressure and its applications, In Proc. of CHI EA, (2009), 4369--4374.

Digital Library

Google Scholar

[10]

Miyaki, T., Rekimoto, J., GraspZoom: zooming and scrolling control model for single-handed mobile interaction, In Proc. of MobileHCI, (2009), 81--84

Digital Library

Google Scholar

[11]

Ramos, G., Boulos, M., Balakrishnan, R., Pressure widgets, In Proc. of CHI, (2004), 487--494.

Digital Library

Google Scholar

[12]

Strachan, S., Murray-Smith, R., Muscle Tremor as an Input Mechanism, In Proc. of UIST, (2004).

Google Scholar

Cited By

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Spence ABangay S(2024)Domain-Agnostic Representation of Side-ChannelsEntropy10.3390/e2608068426:8(684)Online publication date: 13-Aug-2024
https://doi.org/10.3390/e26080684
Choi SYim JKim SJin YWu DJin Z(2023)VibPathProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108947:3(1-26)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610894
Van Rheden VMaurer BMurer M(2023)Phygital Samples: Enhancing Retail Experiences with Digital Augmentations of Physical MaterialsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3583904(1-5)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3583904
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Index Terms

VibPress: estimating pressure input using vibration absorption on mobile devices
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

MobileHCI '13: Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services

August 2013

662 pages

ISBN:9781450322737

DOI:10.1145/2493190

General Chairs:
Michael Rohs
University of Hannover, Germany
,
Albrecht Schmidt
University of Stuttgart, Germany
,
Program Chairs:
Daniel Ashbrook
Samsung, USA
,
Enrico Rukzio
University of Ulm, Germany and Lancaster University, UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2013

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Short-paper

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MobileHCI '13

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SIGCHI

MobileHCI '13: 15th International Conference on Human-Computer Interaction with Mobile Devices and Services

August 27 - 30, 2013

Munich, Germany

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MobileHCI '13 Paper Acceptance Rate 53 of 238 submissions, 22%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

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Spence ABangay S(2024)Domain-Agnostic Representation of Side-ChannelsEntropy10.3390/e2608068426:8(684)Online publication date: 13-Aug-2024
https://doi.org/10.3390/e26080684
Choi SYim JKim SJin YWu DJin Z(2023)VibPathProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108947:3(1-26)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610894
Van Rheden VMaurer BMurer M(2023)Phygital Samples: Enhancing Retail Experiences with Digital Augmentations of Physical MaterialsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3583904(1-5)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3583904
Wang MQin GSun MZhao JQin J(2023)An exploration of pressure input with bare finger for Mobile interaction in stationary and Mobile situationsMultimedia Tools and Applications10.1007/s11042-023-14503-082:17(25711-25731)Online publication date: 14-Feb-2023
https://doi.org/10.1007/s11042-023-14503-0
Cl�ment ABernardes G(2022)Assessing the Influence of Multimodal Feedback in Mobile-Based Musical Task PerformanceMultimodal Technologies and Interaction10.3390/mti60800686:8(68)Online publication date: 8-Aug-2022
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Tsuchida TFujita KIkematsu KSarcar STakashima KKitamura Y(2022)TetraForce: A Magnetic-Based Interface Enabling Pressure Force and Shear Force Input Applied to Front and Back of a SmartphoneProceedings of the ACM on Human-Computer Interaction10.1145/35677176:ISS(185-206)Online publication date: 14-Nov-2022
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Cl�ment AMoreira LRosa MBernardes G(2021)Musical Control Gestures in Mobile Handheld Devices: Design Guidelines Informed by Daily User ExperienceMultimodal Technologies and Interaction10.3390/mti50700325:7(32)Online publication date: 27-Jun-2021
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Dementyev AGetreuer PKanevsky DSlaney MLyon R(2021)VHP: Vibrotactile Haptics Platform for On-body ApplicationsThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474772(598-612)Online publication date: 10-Oct-2021
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Dementyev AOlwal ALyon RIqbal SMacLean KChevalier FMueller S(2020)Haptics with Input: Back-EMF in Linear Resonant Actuators to Enable Touch, Pressure and Environmental AwarenessProceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology10.1145/3379337.3415823(420-429)Online publication date: 20-Oct-2020
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Fortin PBlum JWeill-Duflos ACooperstock J(2020)Contact Force Estimation from Raw Photoplethysmogram Signal2020 IEEE SENSORS10.1109/SENSORS47125.2020.9278658(1-4)Online publication date: 25-Oct-2020
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