Energy-aware user interfaces: an evaluation of user acceptance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Context-aware Battery Management for Mobile Phones
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Understanding human-battery interaction on mobile phones
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Working Overtime: Patterns of Smartphone and PC Usage in the Day of an Information Worker
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
Fast track article: Human-battery interaction on mobile phones
Pervasive and Mobile Computing
Users and batteries: interactions and adaptive energy management in mobile systems
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Proceedings of the 8th international conference on Mobile systems, applications, and services
The design and evaluation of a task-centered battery interface
Proceedings of the 12th ACM international conference on Ubiquitous computing
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Understanding human-smartphone concerns: a study of battery life
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Collaborative energy debugging for mobile devices
HotDep'12 Proceedings of the Eighth USENIX conference on Hot Topics in System Dependability
Lessons Learned from Large-Scale User Studies: Using Android Market as a Source of Data
International Journal of Mobile Human Computer Interaction
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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 capture users' experiences with a user-centered battery interface design. In Study 1, we analyze 12 participants' use of mobile phones, demonstrating that mobile phone users do not know how or what to do to extend their mobile's battery life. We further identify the information they rely on to assess battery life. In Study 2, we use this information to design, prototype and evaluate an interactive battery interface (IBI) with another 22 participants. Our findings describe how users perceive battery life and how we used their mental models of mobile phone batteries to create IBI. Lastly, we report on the users' experiences and IBI's effect on battery lifetime, showing gains of approximately 27% over the course of a day.