skip to main content
10.1145/1978942.1979257acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Deep shot: a framework for migrating tasks across devices using mobile phone cameras

Published: 07 May 2011 Publication History

Abstract

A user task often spans multiple heterogeneous devices, e.g., working on a PC in the office and continuing the work on a laptop or a mobile phone while commuting on a shuttle. However, there is a lack of support for users to easily migrate their tasks across devices. To address this problem, we created Deep Shot, a framework for capturing the user's work state that is needed for a task (e.g., the specific part of a webpage being viewed) and resuming it on a different device. In particular, Deep Shot supports two novel and intuitive interaction techniques, deep shooting and deep posting, for pulling and pushing work states, respectively, using a mobile phone camera. In addition, Deep Shot provides a concise API for developers to leverage its services and make their application states migratable. We demonstrated that Deep Shot can be used to support a range of everyday tasks migrating across devices. An evaluation consisting of a series of experiments showed that our framework and techniques are feasible.

Supplementary Material

MP4 File (paper849.mp4)

References

[1]
Bandelloni, R. and PaternF, F. Migratory User Interfaces Able To Adapt To Various Interaction Platforms. International journal of human-computer studies, 2004.
[2]
Bardram, JE. Activity-Based Computing: Support For Mobility And Collaboration In Ubiquitous Computing. Personal and Ubiquitous Computing, 2005.
[3]
Bardram, JE., Bunde-Pedersen, J., and Soegaard, M. Support For Activity-Based Computing In A Personal Computing Operating System. Proc. CHI '06.
[4]
Bay, H., Tuytelaars, T., and Van Gool, L. SURF: Speeded Up Robust Features. Proc. CVIU, 2008.
[5]
Boring, S., Altendorfer, M., Broll, G., and et al. Shoot & Copy: Phonecam-Based Information Transfer From Public Displays Onto Mobile Phones. Proc. Mobility '07.
[6]
Boring, S., Baur, D., Butz, A., and et al. Touch Projector: Mobile Interaction through Video. Proc. CHI '10.
[7]
Dearman, D and Pierce, JS. "It's On My Other Computer!": Computing With Multiple Devices. Proc. CHI '08.
[8]
Google Chrome to Phone. http://code.google.com/p/chrometophone.
[9]
Hinckley, K. Synchronous Gestures For Multiple Persons And Computers. Proc. UIST '03.
[10]
10. Hupp, D. and Miller, RC. Smart Bookmarks: Automatic Retroactive Macro Recording On The Web. Proc. UIST '07.
[11]
11. Karlson, A., Iqbal, S., Meyers, and Tang, J. Mobile Taskflow in Context: A Screenshot Study of Smartphone Usage. Proc. CHI '10.
[12]
12. Li, Y., and Landay, J. Activity-based prototyping of ubicomp applications for long-lived, everyday human activities, Proc. CHI'08.
[13]
13. Liao, C., Liu, Q., and et al. Pacer: Fine-grained Interactive Paper via Camera-touch Hybrid Gestures on a Cell Phone. Proc. CHI '10.
[14]
14. Liu, Q., McEvoy, P., and Lai, C.-J. Mobile camera supported document redirection. Proc. MM '06.
[15]
15. Miller, RC and Myers, BA. Synchronizing Clipboards Of Multiple Computers. Proc. UIST '99.
[16]
16. Pierce, J. and Nichols, J. An Infrastructure For Extending Applications' User Experiences Across Multiple Personal Devices. Proc. UIST '08.
[17]
17. Rekimoto, J. Pick-And-Drop: A Direct Manipulation Technique For Multiple Computer Environments. Proc. UIST '97.
[18]
18. Rekimoto, J and Saitoh, M. Augmented Surfaces: A Spatially Continuous Work Space For Hybrid Computing Environments. Proc. CHI '99.
[19]
19. Schilit, B and Sengupta, U. Device Ensembles. Computer, IEEE Computer Socity, 2004.
[20]
20. Tang, J., Lin, J., and et al. Recent Shortcuts: Using Recent Interactions To Support Shared Activities. Proc. CHI '07.
[21]
21. Tan, DS., Meyers, B., and Czerwinski, M. WinCuts: manipulating arbitrary window regions for more effective use of screen space. Proc. CHI '04.
[22]
22. Want, R, Fishkin, K, and Gujar, A. Bridging Physical And Virtual Worlds With Electronic Tags. Proc. CHI '99.

Cited By

View all

Index Terms

  1. Deep shot: a framework for migrating tasks across devices using mobile phone cameras
    Index terms have been assigned to the content through auto-classification.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    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]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 May 2011

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. camera
    2. computer vision
    3. mobile interaction
    4. multi-device environment
    5. task migration.

    Qualifiers

    • Research-article

    Conference

    CHI '11
    Sponsor:

    Acceptance Rates

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

    Upcoming Conference

    CHI 2025
    ACM CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)14
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 23 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media