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Understanding human-battery interaction on mobile phones

Published: 09 September 2007 Publication History

Abstract

Mobile phone users have to deal with limited battery lifetime through a reciprocal process we call human-battery interaction (HBI). We conducted three user studies in order to understand HBI and discover the problems in existing mobile phone designs. The studies include a large-scale international survey, a one-month field data collection including quantitative battery logging and qualitative inquiries from ten mobile phone users, and structured interviews with twenty additional mobile phone users. We evaluated various aspects of HBI, including charging behavior, battery indicators, user interfaces for power-saving settings, user knowledge, and user reaction. We find that mobile phone users can be categorized into two types regarding HBI and often have inadequate knowledge regarding phone power characteristics. We provide qualitative and quantitative evidence that problems in state-of-the-art user interfaces has led to under-utilized power-saving settings, under-utilized battery energy, and dissatisfied users. Our findings provide insights into improving mobile phone design for users to effectively deal with the limited battery lifetime. Our work is the first to systematically address HBI on mobile phones and is complementary to the extensive research on energy-efficient design for a longer battery lifetime.

References

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Banerjee, N., Rahmati, A., Corner, M. D., Rollins, S. and Zhong, L. Users and Batteries: Interactions and Adaptive Energy Management in mobile systems. Proc. Int. Conf. Ubiquitous Computing (Ubicomp) (2007).
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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. Proc. Int. Conf. Human Computer Interaction with Mobile Devices & Services (MobileHCI) (2004), 13--24.
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Buchman, I. Batteries in a Portable World: A Handbook on Rechargeable Batteries for Non-Engineers, Second Edition, Cadex Electronics Inc, 2001.
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Harter, T., Vroegindeweij, S., Geelhoed, E., Manahan, M. and Ranganathan, P. Energy-Aware User Interfaces: An Evaluation of User Acceptance. Proc. Conf. Human Factors in Computing Systems (CHI) (2004), 199--206.
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Piller, S., Perrin, M. and Jossen, A. Methods for State-of-Charge Determination and Their Applications. Journal of Power Sources, 96, 1 (2001), 113--120.
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      cover image ACM Other conferences
      MobileHCI '07: Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
      September 2007
      352 pages
      ISBN:9781595938626
      DOI:10.1145/1377999
      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: 09 September 2007

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      Author Tags

      1. batteries
      2. human-battery interaction
      3. mobile phones
      4. power management

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      View all
      • (2023)On Security and Energy Efficiency in Android Smartphones2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems (MOBILESoft)10.1109/MOBILSoft59058.2023.00018(87-95)Online publication date: May-2023
      • (2023)Factors and Design Features Influencing the Continued Use of Wearable DevicesJournal of Healthcare Informatics Research10.1007/s41666-023-00135-47:3(359-385)Online publication date: 13-Jul-2023
      • (2022)The Software Cache Optimization-Based Method for Decreasing Energy Consumption of Computational ClustersEnergies10.3390/en1520750915:20(7509)Online publication date: 12-Oct-2022
      • (2022)Investigating Low-Battery Anxiety of Mobile Users2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00022(272-279)Online publication date: Aug-2022
      • (2022)Investigating Low-Battery Anxiety of Mobile UsersGreenEdge: New Perspectives to Energy Management and Supply in Mobile Edge Computing10.1007/978-981-16-9690-9_2(7-19)Online publication date: 18-Feb-2022
      • (2021)Incorporating energy efficiency measurement into CI\CD pipelineProceedings of the 2021 European Symposium on Software Engineering10.1145/3501774.3501777(14-20)Online publication date: 19-Nov-2021
      • (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
      • (2021)Revisiting the battery level indicator of mobile devicesDesign Automation for Embedded Systems10.1007/s10617-021-09246-wOnline publication date: 18-Feb-2021
      • (2021)Whither wilderness? An investigation of technology use by long‐distance backpackersJournal of the Association for Information Science and Technology10.1002/asi.2443772:6(683-698)Online publication date: 14-May-2021
      • (2020)Energy Efficient Software Development Process Evaluation for MacOS DevicesOpen Source Systems10.1007/978-3-030-47240-5_20(196-206)Online publication date: 5-May-2020
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