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PAM, the Photographic Affect Meter
PAM, the Photographic Affect Meter is a one-touch assessment of mood and emotional state.
Developed by JP Pollak, Phil Adams, and Geri Gay from Cornell Tech and Cornell University, PAM has been rigorously validated as a measure of affect, intended for frequent or expeditious use where longer form measures such as PANAS or POMS are not feasible.
Last updated on Jul 9, 2016
Minor UI updates. Allows reloading of images from main page. Enlarges and submits image immediately after it is selected, instead of waiting to for user to hit "Submit" button.
Telechargé par
Ponpichit Pootatped
Nécessite Android
Android 2.3.2+
Catégories
Signaler
PAM-omh
1.1.5 by small data lab
Jul 9, 2016