Understanding the impact of laptop power saving options on user satisfaction using physiological sensors

Authors:
Matthew Schuchhardt;Benjamin Scholbrock;Utku Pamuksuz;Gokhan Memik;Peter Dinda;Robert P. Dick
Affiliations:
Northwestern University, Evanston, IL, USA;Northwestern University, Evanston, USA;Northwestern University, Evanston, USA;Northwestern University, Evanston, USA;Northwestern University, Evanston, USA;University of Michigan, Ann Arbor, USA
Venue:
Proceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design
Year:
2012

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Abstract

Several techniques are available to save power consumption in laptop computers. However, their effect on user satisfaction has not been well studied. We analyze how user satisfaction is affected by these techniques and show that, within a fixed power budget, some techniques cause more dissatisfaction than others. Second, we study the use of physiological sensors and show that the sensor readings are stable across times when no technique is applied, whereas they show statistically significant changes when power-saving techniques are employed. Finally, we demonstrate a prediction mechanism using these sensors that predicts user satisfaction with over 80% accuracy.