We conducted some of the largest psychological studies ever done on emotion in order to build datasets that reflect the diversity of human experience and the nuanced ways people express themselves. In our studies, participants from a variety of cultures react to stimuli and have conversations, make facial or vocal expressions, and provide detailed ratings of what their expressions mean to them. We also collect ratings from around the world on what emotions people perceive in their expressions. (Note that all datasets are fully consented and all experimental procedures were approved by a commercial IRB.)
Given the diversity of the people in our dataset, our models are trained to pick up on visual and auditory cues that express feelings and sentiments—regardless of an individual’s age, gender, race, or country of origin.
Understanding the meanings of expressions and how these meanings can subtly differ between cultures is a complex area of ongoing research and debate. At Hume AI, we aim to provide the most unbiased models of emotional expression available while contributing to scientific knowledge about how people from around the world express their emotions. But it is important to acknowledge that this knowledge is still developing. Learn More
Updated 3 months ago