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Researchers at Tokyo Metropolitan University used long-term skin conductance measurements to distinguish between emotions. Volunteers were given videos representing frightening scenarios, family relationships, and humor, while their skin conductance was measured. The team’s investigation showed that the marks could be used to accurately predict which emotions were being experienced. Such advancements help reduce over-reliance on facial data, bringing emotionally sensitive technologies closer to home.
Can skin conductance predict emotions?
A new frontier in consumer electronics is being ushered in: One day, digital devices may be able to provide services based on your emotional state. Although this sounds surprising, it depends on whether the tools can accurately tell what people are feeling. The most common methods rely on facial expressions: although these have had some success, such data may not always be available. This has led researchers to look for various biological signals that can be interpreted to access emotional states, such as brain wave measurements or cardiograms.
A team of scientists led by Professor Shogo Okamoto of Tokyo Metropolitan University is using skin conductance as a gateway to human emotions. When people feel different things, the electrical properties of their skin change significantly due to sweating, the signs of which begin to appear within one to three seconds of the original stimulus.
Previous research has already shown that measurements of extreme conductance, for example, can be correlated with certain emotions. In their most recent work, the team focused on the dynamics of the response i.e. how quickly the conductance detection reaches a peak after certain stimuli, and how it returns back to normal.
emotion reading tools
In their experiment, volunteers were asked to wear probes on the skin and watch videos that were either scary scenes from horror movies, emotional scenes of family relationships, or funny acts performed by comedians. The important thing is that each scene had well-defined points at which a certain emotional arousal was demanded. Analyzing the traces, the team found several interesting and important trends.
For example, they found that the fear response lasts the longest. This may be a biologically evolved trait, as there are benefits to long-term threat perception. When comparing reactions to humorous and emotional scenes of family relationships, they found that reactions to family relationships seemed to increase more slowly. The emotions that arose were probably a mixture of sadness and happiness, so they may have interfered with each other, causing slow change.
Importantly, the team’s statistical analysis showed that different numbers extracted from the dynamics of the trace could be used to discriminate a person’s emotional state. Although they cannot yet completely tell emotions apart, for example, the data could be used to make a statistically significant prediction of whether a person was experiencing fear or feeling the warmth of a family bond. Was doing. Combined with other signals, the team believes we are one step closer to devices knowing how we are feeling, with scope for a better understanding of human emotions.
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