skip to main content
10.1145/2046396.2046400acmconferencesArticle/Chapter ViewAbstractPublication PagesuistConference Proceedingsconference-collections
demonstration

SUAVE: sensor-based user-aware viewing enhancement for mobile device displays

Published: 16 October 2011 Publication History

Abstract

As mobile devices are used in various environments, ambient light and wide viewing direction impair a display's perceived display quality. To combat these effects, we introduce SUAVE, our Sensor-based User-Aware Viewing Enhancement system. SUAVE senses the ambient light and viewing direction and applies corresponding image enhancements to the display content, increasing its usability. SUAVE employs a parameter calibration process to help users select suitable image enhancements for particular viewing contexts. We report implementations of SUAVE on a Motorola Xoom Tablet and an Apple iPhone 4.

Supplementary Material

JPG File (de158.jpg)
M4V File (de158.m4v)

References

[1]
Barten, P.G.J. Contrast sensitivity of the human eye and its effects on image quality. SPIE Optical Engineering Press, 1999.
[2]
Oetjen, S. and Ziefle, M. The Effects of LCD Anisotropy on the Visual Performance of Users of Different Ages. Human Factors 49, 4, (August 2007), 619--627.
[3]
Mantiuk, R., Daly, S. and Kerofsky, L. Display adaptive tone mapping. ACM Trans. Graph. 27, 3, Article 68 (August 2008), 10 pages.
[4]
Viola, P.A., Jones, M. J. Robust Real-time Face Detection, International Journal of Computer Vision 57, 2, (May 2004), 137--154.
[5]
Wu. C.N. and Cheng, W.C. Viewing direction-aware backlight scaling. In Proceedings of ACM Great Lakes Sym. VLSI '07, Stresa-Lago Maggiore, Italy, 281--286.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
UIST '11 Adjunct: Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology
October 2011
108 pages
ISBN:9781450310147
DOI:10.1145/2046396

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 October 2011

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. context-aware
  2. context-awareness
  3. mobile display

Qualifiers

  • Demonstration

Conference

UIST '11

Acceptance Rates

Overall Acceptance Rate 355 of 1,733 submissions, 20%

Upcoming Conference

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

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)3
  • Downloads (Last 6 weeks)1
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