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TapBack: towards richer mobile interfaces in impoverished contexts

Published: 07 May 2011 Publication History

Abstract

Much of the mobile work by HCI researchers explores a future world populated by high-end devices and relatively affluent users. This paper turns to consider the hundreds of millions of people for whom such sophistication will not be realised for many years to come. In developing world contexts, people will continue to rely on voice-primary interactions due to both literacy and economic reasons. Here, we motivate research into how to accommodate advanced mobile interface techniques while overcoming the handset, data-connection and user limitations. As a first step we introduce TapBack: back-of-device taps to control a dialled-up, telephone-network-based voice service. We show how these audio gestures might be recognised over a standard telephone connection, via users' existing low-end devices. Further, in a longitudinal deployment, the techniques were made available on a live voice service used by rural Indian farmers. Data from the study illustrates the desire by users to adopt the approach and its potential extensions.

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References

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Cited By

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  • (2022)Stetho Touch: Touch Action Recognition System by Deep Learning with Stethoscope Acoustic SensingJournal of Information Processing10.2197/ipsjjip.30.71830(718-728)Online publication date: 2022
  • (2022)Prototyping TV and Tablet Facebook Interfaces for Older AdultsHuman-Computer Interaction – INTERACT 201510.1007/978-3-319-22701-6_9(110-128)Online publication date: 10-Mar-2022
  • (2021)GestOnHMD: Enabling Gesture-based Interaction on Low-cost VR Head-Mounted DisplayIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.306768927:5(2597-2607)Online publication date: May-2021
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      cover image ACM Conferences
      CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      May 2011
      3530 pages
      ISBN:9781450302289
      DOI:10.1145/1978942
      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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      Published: 07 May 2011

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      Author Tags

      1. audio gestures
      2. back-of-device interaction
      3. developing regions
      4. mobile hci
      5. spoken web

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      CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;
      Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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      Cited By

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      • (2022)Stetho Touch: Touch Action Recognition System by Deep Learning with Stethoscope Acoustic SensingJournal of Information Processing10.2197/ipsjjip.30.71830(718-728)Online publication date: 2022
      • (2022)Prototyping TV and Tablet Facebook Interfaces for Older AdultsHuman-Computer Interaction – INTERACT 201510.1007/978-3-319-22701-6_9(110-128)Online publication date: 10-Mar-2022
      • (2021)GestOnHMD: Enabling Gesture-based Interaction on Low-cost VR Head-Mounted DisplayIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.306768927:5(2597-2607)Online publication date: May-2021
      • (2020)Gentle Versus Strong Touch Classification: Preliminary Results, Challenges, and PotentialsSensors10.3390/s2011303320:11(3033)Online publication date: 27-May-2020
      • (2019)Diversifying Future-Making Through Itinerative DesignACM Transactions on Computer-Human Interaction10.1145/334172726:5(1-21)Online publication date: 29-Jul-2019
      • (2019)Investigating Unintended Inputs for One-Handed Touch Interaction Beyond the TouchscreenProceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3338286.3340145(1-14)Online publication date: 1-Oct-2019
      • (2019)Sustainabot - Exploring the Use of Everyday Foodstuffs as Output and Input for and with Emergent UsersProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300456(1-12)Online publication date: 2-May-2019
      • (2018)InfiniTouchProceedings of the 31st Annual ACM Symposium on User Interface Software and Technology10.1145/3242587.3242605(779-792)Online publication date: 11-Oct-2018
      • (2018)Fingers' Range and Comfortable Area for One-Handed Smartphone Interaction Beyond the TouchscreenProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173605(1-12)Online publication date: 21-Apr-2018
      • (2018)Emergent User Design Framework for E Payment Mobile Application2018 International Conference on Computer, Communication, and Signal Processing (ICCCSP)10.1109/ICCCSP.2018.8452855(1-6)Online publication date: Feb-2018
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