A user study with 20 participants found that linguistic analysis is more reliable than facial recognition for detecting emotions in proactive AI agents due to users displaying neutral 'poker faces,' while also showing that such agents can elicit emotions but risk disengagement if proactivity is unca
Big Data & Society , volume = 9, number = 2, pages = 20539517221129549, doi =
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Evaluating multimodal emotion recognition in proactive conversational agents: A user study
A user study with 20 participants found that linguistic analysis is more reliable than facial recognition for detecting emotions in proactive AI agents due to users displaying neutral 'poker faces,' while also showing that such agents can elicit emotions but risk disengagement if proactivity is unca