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Improving Haptic Feedback on Wearable Devices through Accelerometer Measurements

Published: 05 November 2015 Publication History

Abstract

Many variables have been shown to impact whether a vibration stimulus will be perceived. We present a user study that takes into account not only previously investigated predictors such as vibration intensity and duration along with the age of the person receiving the stimulus, but also the amount of motion, as measured by an accelerometer, at the site of vibration immediately preceding the stimulus. This is a more specific measure than in previous studies showing an effect on perception due to gross conditions such as walking. We show that a logistic regression model including prior acceleration is significantly better at predicting vibration perception than a model including only vibration intensity, duration and participant age. In addition to the overall regression, we discuss individual participant differences and measures of classification performance for real-world applications. Our expectation is that haptic interface designers will be able to use such results to design better vibrations that are perceivable under the user's current activity conditions, without being annoyingly loud or jarring, eventually approaching ``perceptually equivalent' feedback independent of motion.

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References

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Cited By

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  • (2024)AdapTics: A Toolkit for Creative Design and Integration of Real-Time Adaptive Mid-Air Ultrasound TactonsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642090(1-15)Online publication date: 11-May-2024
  • (2023)Electro-oculographic Discrimination of Gazing Motion to a Smartphone Notification ToneComputer-Human Interaction Research and Applications10.1007/978-3-031-49425-3_11(187-200)Online publication date: 23-Dec-2023
  • (2022)Electrotactile Communication via Matrix Electrode Placed on the Torso Using Fast Calibration, and Static vs. Dynamic EncodingSensors10.3390/s2219765822:19(7658)Online publication date: 9-Oct-2022
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    cover image ACM Conferences
    UIST '15: Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology
    November 2015
    686 pages
    ISBN:9781450337793
    DOI:10.1145/2807442
    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 the author(s) 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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    Publication History

    Published: 05 November 2015

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    Author Tags

    1. accelerometer
    2. haptic vibration feedback
    3. mobile sensing
    4. wearable computing

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    UIST '15 Paper Acceptance Rate 70 of 297 submissions, 24%;
    Overall Acceptance Rate 561 of 2,567 submissions, 22%

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    UIST '25
    The 38th Annual ACM Symposium on User Interface Software and Technology
    September 28 - October 1, 2025
    Busan , Republic of Korea

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    Cited By

    View all
    • (2024)AdapTics: A Toolkit for Creative Design and Integration of Real-Time Adaptive Mid-Air Ultrasound TactonsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642090(1-15)Online publication date: 11-May-2024
    • (2023)Electro-oculographic Discrimination of Gazing Motion to a Smartphone Notification ToneComputer-Human Interaction Research and Applications10.1007/978-3-031-49425-3_11(187-200)Online publication date: 23-Dec-2023
    • (2022)Electrotactile Communication via Matrix Electrode Placed on the Torso Using Fast Calibration, and Static vs. Dynamic EncodingSensors10.3390/s2219765822:19(7658)Online publication date: 9-Oct-2022
    • (2022)Exploring Vibration Intensity Map Of Hand Postures For Haptic Rendering In XRProceedings of the 28th ACM Symposium on Virtual Reality Software and Technology10.1145/3562939.3565672(1-2)Online publication date: 29-Nov-2022
    • (2022)Understanding Smartphone Notifications’ Activity Disruption via In Situ Wrist Motion MonitoringExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519695(1-6)Online publication date: 27-Apr-2022
    • (2020)Habituation to Pseudo-Ambient Vibrotactile Patterns for Remote Awareness2020 IEEE Haptics Symposium (HAPTICS)10.1109/HAPTICS45997.2020.ras.HAP20.153.550dbcba(657-663)Online publication date: Mar-2020
    • (2019)Methods and Interfaces for Closed Loop Smartphone NotificationsProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3338286.3344422(1-5)Online publication date: 1-Oct-2019
    • (2019)Towards Consistent Haptic Coupling with HaptiStrapAdjunct Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology10.1145/3332167.3357118(69-71)Online publication date: 14-Oct-2019
    • (2019)Detecting Perception of Smartphone Notifications Using Skin Conductance ResponsesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300420(1-9)Online publication date: 2-May-2019
    • (2019)Single-Actuator Vibrotactile Numeric Information Delivery in the Face of Distraction2019 IEEE World Haptics Conference (WHC)10.1109/WHC.2019.8816082(461-466)Online publication date: Jul-2019
    • Show More Cited By

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