Guilt Trips: Taking Measure of Our Moral Compass“So full of artless jealousy is guilt, It spills itself in fearing to be spilt” —Gertrude, William Shakespeare’s “Hamlet” In Act 4 of Shakespeare’s famous tragedy, Hamlet’s mother Gertrude points out that the harder one tries to conceal guilt, the easier it is to...
Measuring Moods: Signals for Insight into Emotion“Do you ever look at someone and wonder what is going on inside their head?” Joy, an anthropomorphized manifestation of happiness, delivers this line at the opening of Pixar’s 2015 animated hit “Inside Out,” a film that explores the emotional struggles of its young...
Choosing the Right Signal: Easy as 1, 2, 3
In physiology and life sciences, researchers rely on a wide range of signals to gather data from humans and animals. These signals provide critical insight into how complex organisms function under a myriad of conditions. However, this wealth of potential data sources can also present a challenge for researchers: choosing the right signals on which to focus their data gathering. For those lacking a background in the disciplines and mechanisms behind these signals, sifting through the available methodology can be overwhelming. The best place to begin is by considering one or a combination of the “Big Three” physiological signals: ECG, EDA, and respiration.
Hitting the Mark: Using Event Markers to Improve Data Quality
Life is a series of events—some are planned while others catch us completely by surprise. This holds true in the lab where the quality of experiments and data depend on accurately identifying, tracking, and sorting key events as they occur. Events like the introduction of stimuli and a test subject’s reaction directly impact data.