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An exploration of inadvertent variations in mobile pressure input

Authors:

Giulio JacucciAuthors Info & Claims

MobileHCI '12: Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services

Pages 35 - 38

https://doi.org/10.1145/2371574.2371581

Published: 21 September 2012 Publication History

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Abstract

This paper reports the results of an exploratory study into inadvertent grip pressure changes on mobile devices with a focus on the differences between static lab-based and mobile walking environments. The aim of this research is to inform the design of more robust pressure input techniques that can accommodate dynamic mobile usage. The results of the experiment show that there are significant differences in grip pressure in static and walking conditions with high levels of pressure variation in both. By combining the pressure data with accelerometer data, we show that grip pressure is closely related to user movement.

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Cited By

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Coe PEvreinov GZiat MRaisamo R(2024)What the Mind Can Comprehend from a Single TouchMultimodal Technologies and Interaction10.3390/mti80600458:6(45)Online publication date: 28-May-2024
https://doi.org/10.3390/mti8060045
Tolomei GLalmas MFarahat AHaines A(2018)You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate predictionInternational Journal of Data Science and Analytics10.1007/s41060-018-0122-17:1(53-66)Online publication date: 21-Apr-2018
https://doi.org/10.1007/s41060-018-0122-1
Ng ABrewster SBeruscha FKrautter WMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)An Evaluation of Input Controls for In-Car InteractionsProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025736(2845-2852)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3025736
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Index Terms

An exploration of inadvertent variations in mobile pressure input
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Haptic devices

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Published In

MobileHCI '12: Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services

September 2012

468 pages

ISBN:9781450311052

DOI:10.1145/2371574

General Chairs:
Elizabeth Churchill
Designing Associates, USA
,
Sriram Subramanian
University of Bristol, UK
,
Program Chairs:
Patrick Baudisch
Hasso Plattner Institute, Germany
,
Kenton O'Hara
Microsoft Research, Cambridge, 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: 21 September 2012

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MobileHCI '12

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SIGCHI

MobileHCI '12: 14th International Conference on Human Computer Interaction with Mobile Devices and Services

September 21 - 24, 2012

California, San Francisco, USA

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Overall Acceptance Rate 202 of 906 submissions, 22%

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September 22 - 26, 2025

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Cited By

View all

Coe PEvreinov GZiat MRaisamo R(2024)What the Mind Can Comprehend from a Single TouchMultimodal Technologies and Interaction10.3390/mti80600458:6(45)Online publication date: 28-May-2024
https://doi.org/10.3390/mti8060045
Tolomei GLalmas MFarahat AHaines A(2018)You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate predictionInternational Journal of Data Science and Analytics10.1007/s41060-018-0122-17:1(53-66)Online publication date: 21-Apr-2018
https://doi.org/10.1007/s41060-018-0122-1
Ng ABrewster SBeruscha FKrautter WMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)An Evaluation of Input Controls for In-Car InteractionsProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025736(2845-2852)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3025736
Hsiu MHuang DChen CLin YHung YYang DChen MPaternò FVäänänen KChurch KHäkkilä JKrüger ASerrano M(2016)ForceBoardProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/2957265.2961827(599-604)Online publication date: 6-Sep-2016
https://dl.acm.org/doi/10.1145/2957265.2961827
Feng SWilson GNg ABrewster SBoring SRukzio EGellersen HHinckley K(2015)Investigating Pressure-based Interactions with Mobile Phones While Walking and EncumberedProceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/2786567.2793711(854-861)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2786567.2793711
Tartz RVartak AKing JFowles D(2014)Effects of grip force on skin conductance measured from a handheld devicePsychophysiology10.1111/psyp.1223752:1(8-19)Online publication date: 23-Sep-2014
https://doi.org/10.1111/psyp.12237
Wilson GBrewster SHalvey MMackay WBrewster SBødker S(2013)Towards utilising one-handed multi-digit pressure inputCHI '13 Extended Abstracts on Human Factors in Computing Systems10.1145/2468356.2468591(1317-1322)Online publication date: 27-Apr-2013
https://dl.acm.org/doi/10.1145/2468356.2468591
Hoggan EStewart CHaverinen LJacucci GLantz VMiller RBenko HLatulipe C(2012)PressagesProceedings of the 25th annual ACM symposium on User interface software and technology10.1145/2380116.2380185(555-562)Online publication date: 7-Oct-2012
https://dl.acm.org/doi/10.1145/2380116.2380185

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Abstract

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Recommendations

Investigating Pressure-based Interactions with Mobile Phones While Walking and Encumbered

Towards utilising one-handed multi-digit pressure input

Measurement of Pressure Distribution from PIV Experiments

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