KLEM is based on the keystroke-level model (KLM), a psychological theory of human cognitive and motor capabilities that can predict execution time for a skilled user.
KLEM: A Method for Predicting User Interaction Time and. System Energy Consumption during Application Design. Lu Luo and Daniel P. Siewiorek†. School of ...
Created by Card, Moron, and Newell in 1980. ○ Describe a task by placing operators in a sequence. ○ K – keystroke. ○ P – point with mouse.
In this paper, we present the Keystroke-Level Energy Model (KLEM), a method that can predict the user time and system energy consumption it will take to perform ...
KLEM: A Method for Predicting User Interaction Time and System Energy Consumption during Application Design. CHRISTIAN DZIUBA. ILYAS DASKAYA. Ubiquitious ...
Apr 9, 2015 · Author show when using different interaction modalities, the energy consumption can vary by a factor of three in achieving the same user goal.
KLEM: A Method for Predicting User Interaction Time and System Energy Consumption during Application Design. ISWC2007. Digital Library · Google Scholar. [12]. S ...
KLEM: A Method for Predicting User Interaction Time and System Energy Consumption during Application Design pp. 1-8. Selective Sampling Strategies to ...
Siewiorek, KLEM: A Method for Predicting User Interaction Time and System Energy Consumption during Application Design, 2007 11th IEEE International ...
In Proc. of ACM SIGMETRICS, 2003. [11] L. Luo, et al. KLEM: A Method for Predicting User Interaction Time and System Energy Consumption during Application ...