More Web Proxy on the site http://driver.im/

research-article

The design and evaluation of a task-centered battery interface

Authors:

Khai N. Truong,

Julie A. Kientz,

Alyssa Rosenzweig,

Amanda Fonville,

Tim SmithAuthors Info & Claims

UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computing

Pages 341 - 350

https://doi.org/10.1145/1864349.1864400

Published: 26 September 2010 Publication History

Abstract

Battery interfaces provide important feedback about how much time users can continue using their mobile devices. Based on this information, they may develop mental models of the types of activities, tasks, and applications they can use before needing to recharge. Many of today's battery interfaces tend to report energy in coarse granularities or are highly inaccurate. As a result, users may find it difficult to depend on the estimates given. We conducted a survey with 104 participants to understand how users interact with various mobile battery interfaces. Based on the survey results, we designed and prototyped a task-centered battery interface on a mobile device that shows more accurate information about how long individual and combinations of tasks with several applications can be performed. Our pilot study of eight users demonstrated that fine-grained information separated by tasks can help users be more effective with and increase their understanding of their device's battery usage.

References

[1]

}}Anand, M., Nightingale, E. B., and Flinn, J. 2003. Self-tuning wireless network power management. In Proc. of MobiCom '03, 176--189.

Digital Library

[2]

}}Banerjee, N., Rahmati, A., Corner, M. D., Rollins, S. and Zhong, L. Users and Batteries: Interactions and Adaptive Energy Management in mobile systems. In Proc. of Ubicomp 2007.

Digital Library

[3]

}}Battery Go! http://appshopper.com/utilities/battery-go (accessed Mar 11, 2010.

[4]

}}Battery Juice. http://appshopper.com/utilities/battery-juice (accessed Mar 11, 2010.

[5]

}}Battery Magic. http://appshopper.com/utilities/battery-magic-pro (accessed Mar 11, 2010.

[6]

}}Battery Time. http://widgets.yahoo.com/widgets/battery-time (accessed Mar 11, 2010.

[7]

}}Bloom, L., Eardley, R., Geelhoed, E., Manahan, M. and Ranganathan, P. Investigating the Relationship Between Battery Life and User Acceptance of Dynamic, Energy-Aware Interfaces on Handhelds. In Proc. of MobileHCI 2004, 13--24.

[8]

}}EZ Battery Life. http://appshopper.com/utilities/ez-battery-life (accessed Mar 11, 2010.

[9]

}}Flinn, J. and Satyanarayanan, M. 2004. Managing battery lifetime with energy-aware adaptation. ACM Trans. Comput. Syst.22, 2 (May. 2004), 137--179.

Digital Library

[10]

}}Harter, T., Vroegindeweij, S., Geelhoed, E., Manahan, M., and Ranganathan, P. 2004. Energy-aware user interfaces: an evaluation of user acceptance. In Proc. CHI '04. 199--206.

Digital Library

[11]

}}Iyer, S., Luo, L., Mayo, R., and Ranganathan, P. 2003. Energy-Adaptive Display System Designs for Future Mobile Environments. In Proc. of MobiSys '03, 245--25.

Digital Library

[12]

}}Miettinen, A.P. and Hirvisalo, V. Energy-efficient parallel software for mobile hand-held devices. In Proc. of HotPar 2009.

Digital Library

[13]

}}myBattery.http://www.appleiphoneschool.com/category/mybattery/ (accessed Mar 11, 2010.

[14]

}}Pering, T., Agarwal, Y., Gupta, R., and Want, R. 2006. CoolSpots: reducing the power consumption of wireless mobile devices with multiple radio interfaces. In Proc. of MobiSys '06. 220--23.

Digital Library

[15]

}}Rahmati, A., Qian, A., and Zhong, L. 2007. Understanding human-battery interaction on mobile phones. In Proc. of MobileHCI '07, vol. 309, 265--272.

Digital Library

[16]

}}Ravi, N., Scott, J., Han, L., and Iftode, L. Context-aware Battery Management for Mobile Phones. PERCOM 2008, 224--233.

Digital Library

[17]

}}Sorber, J., Banerjee, N., Corner, M. D., and Rollins, S. 2005. Turducken: hierarchical power management for mobile devices. In Proc. of MobiSys '05. 261--274.

Digital Library

[18]

}}Vallerio, K. S., Zhong, L., and Jha, N. K. 2006. Energy-Efficient Graphical User Interface Design. IEEE Trans. on Mobile Computing 5, 7 (Jul. 2006), 846--859.

Digital Library

[19]

}}Zeng, H., Ellis, C. S., Lebeck, A. R., and Vahdat, A. 2002. ECOSystem: managing energy as a first class operating system resource. SIGPLAN 37, 10, 123--132.

Digital Library

Cited By

Palacios Abad BKoohang MVigil-Hayes MZegura E(2023)Alone and Together: Resilience in a Fluid Socio-Technical-Natural SystemProceedings of the ACM on Human-Computer Interaction10.1145/35794577:CSCW1(1-26)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579457
Welber SZhao VDolin CMorkved OHoffmann HUr B(2021)Do Users Have Contextual Preferencesfor Smartphone Power Management?Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450613.3456813(44-54)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450613.3456813
Jeon SKim DAhn JHa RCha H(2021)Revisiting the battery level indicator of mobile devicesDesign Automation for Embedded Systems10.1007/s10617-021-09246-wOnline publication date: 18-Feb-2021
https://doi.org/10.1007/s10617-021-09246-w
Show More Cited By

Index Terms

The design and evaluation of a task-centered battery interface
1. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods
      1. User centered design

Recommendations

Revisiting human-battery interaction with an interactive battery interface
UbiComp '13: Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing

Mobile phone user interfaces typically show an icon to indicate remaining battery, but not the amount of time the device can be used for, often forcing users to make faulty estimates and predictions about battery life. Here we report on two studies that ...
Authentication interface evaluation and design for mobile devices
InfoSecCD '05: Proceedings of the 2nd annual conference on Information security curriculum development

The design of mobile device interfaces is an area that has started to be addressed in the human computer interaction (HCI) community during the past few years. While previous work on handheld interface design has focused on overall usability aspects, ...
Dual device user interface design: PDAs and interactive television
CHI '96: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computing

September 2010

366 pages

ISBN:9781605588438

DOI:10.1145/1864349

General Chairs:
Jakob E. Bardram
IT University of Copenhagen, Denmark
,
Marc Langheinrich
University of Lugano, Switzerland
,
Program Chairs:
Khai N. Truong
University of Toronto, Canada
,
Paddy Nixon
University College Dublin, Ireland

Copyright © 2010 ACM.

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

In-Cooperation

University of Florida: University of Florida

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

Ubicomp '10

Sponsor:

Ubicomp '10: The 2010 ACM Conference on Ubiquitous Computing

September 26 - 29, 2010

Copenhagen, Denmark

Acceptance Rates

UbiComp '10 Paper Acceptance Rate 39 of 202 submissions, 19%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

26
Total Citations
View Citations
550
Total Downloads

Downloads (Last 12 months)11
Downloads (Last 6 weeks)0

Reflects downloads up to 24 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Palacios Abad BKoohang MVigil-Hayes MZegura E(2023)Alone and Together: Resilience in a Fluid Socio-Technical-Natural SystemProceedings of the ACM on Human-Computer Interaction10.1145/35794577:CSCW1(1-26)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579457
Welber SZhao VDolin CMorkved OHoffmann HUr B(2021)Do Users Have Contextual Preferencesfor Smartphone Power Management?Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450613.3456813(44-54)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450613.3456813
Jeon SKim DAhn JHa RCha H(2021)Revisiting the battery level indicator of mobile devicesDesign Automation for Embedded Systems10.1007/s10617-021-09246-wOnline publication date: 18-Feb-2021
https://doi.org/10.1007/s10617-021-09246-w
Gupta MMary STrivedi JGoyal JMaan PSingh M(2021)Battery Lifetime Estimation Based on Usage PatternSoft Computing for Problem Solving10.1007/978-981-16-2709-5_27(353-365)Online publication date: 14-Oct-2021
https://doi.org/10.1007/978-981-16-2709-5_27
Afzal MJavaid FTayyaba SAshraf MPunyasai CAfzulpurkar N(2018)Study of Charging the Smart Phone by Human Movements by Using MATLAB Fuzzy Technique2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)10.1109/ECTICon.2018.8619882(411-414)Online publication date: Jul-2018
https://doi.org/10.1109/ECTICon.2018.8619882
Saxena SSanchez GPecht M(2017)Batteries in Portable Electronic Devices: A User's PerspectiveIEEE Industrial Electronics Magazine10.1109/MIE.2017.268848311:2(35-44)Online publication date: Jun-2017
https://doi.org/10.1109/MIE.2017.2688483
Gao XLiu DLiu DWang HStavrou A(2017)E-Android: A New Energy Profiling Tool for Smartphones2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS.2017.218(492-502)Online publication date: Jun-2017
https://doi.org/10.1109/ICDCS.2017.218
Chon YLee GHa RCha HLukowicz PKrüger ABulling ALim YPatel S(2016)Crowdsensing-based smartphone use guide for battery life extensionProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2971648.2971728(958-969)Online publication date: 12-Sep-2016
https://dl.acm.org/doi/10.1145/2971648.2971728
Kim DChon YJung WKim YCha H(2016)Accurate Prediction of Available Battery Time for Mobile ApplicationsACM Transactions on Embedded Computing Systems10.1145/287542315:3(1-17)Online publication date: 23-May-2016
https://dl.acm.org/doi/10.1145/2875423
Hosio SFerreira DGoncalves Jvan Berkel NLuo CAhmed MFlores HKostakos VKaye JDruin ALampe CMorris DHourcade J(2016)Monetary Assessment of Battery Life on SmartphonesProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858285(1869-1880)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2858036.2858285
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents