PAM

 

Description:

The Photographic Affect Meter, a novel tool for frequent, unobtrusive measurement of affect.

The assessment of affect is critical for anyone trying to understand human behavior. But there is a problem: affect as a state is frequently changing and difficult to recall and express, yet in research, we typically only assess it via a single questionnaire at the end of a study. So we developed PAM, the Photographic Affect Meter, a novel tool for measuring affect, in which u of photos the one which best suits their current mood. PAM is built in the Ecological Momentary Assessment (EMA) tradition, intended for frequent and unobtrusive measurement.

Our findings indicate that PAM – which takes seconds to complete and is designed to run on modern mobile phones and mobile computing devices – demonstrates strong construct validity across two studies and is very well suited for frequent sampling in context. This work provides a tool to researchers in need of frequent assessment of affect and guidance to others interested in developing similar measurement tools.

People:

JP Pollak, Phil Adams, Geri Gay

Funding:

NSF GRFP; NIH; Google

Publications:
Pollak, J.P., Adams, P., Gay, G. (2011) PAM: A photographic affect meter for frequent, in situ measurement of affect. in the Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2011) Vancouver, BC, Canada, May 5-12, pp. 725-734. [ ACM | PDF ]

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