As sales of mobile devices have increased, the development of apps (software applications) has also been proliferating. Using an app to measure a personal behavior in real-time (e.g., how long a device is left on) may reduce errors caused by estimation (e.g., memory) and provide a simple and convenient method to collect such data. The concurrent validity of an app will be examined by comparing participants' app-based measures of energy use to that of a watt-o-meter (a plug-in device that automatically records total energy use). A correlation coefficient will be used to determine the degree of association between approximately 20 participantsí time records using the app and objective records of time their devices (e.g., computer desk top) have been on.
|Presenters:||Nicky Hoodlet (Undergraduate Student)
Kazuki Nishida (Undergraduate Student)
|Location:||Lobby of Edwards|
|Time:||1:15 pm (Session III)
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