lightbulbPractical problemAffect, Emotion, and Mental Health State Inference
In public displays, it is difficult to non-intrusively infer user interest in content.UbiComp '21Inverse Foraging: Inferring Users’ Interest in Pervasive Displays
Sensing, Recognition, and Prediction Methods / Affect, Emotion, and Mental Health State Inference
In public displays, it is difficult to non-intrusively infer user interest in content.
Similar questions
lightbulbPractical problemAffect, Emotion, and Mental Health State Inference
Emotion recognition systems cannot accurately adapt to individual differences among users.UbiComp '24Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition
lightbulbPractical problemAffect, Emotion, and Mental Health State Inference
Users cannot obtain real-time emotional feedback from phone screen text.UbiComp '24Predicting Affective States from Screen Text Sentiment
lightbulbPractical problemAffect, Emotion, and Mental Health State Inference
Users' large volumes of online text are not effectively leveraged to predict mental health risks.UbiComp '24Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
lightbulbPractical problemAffect, Emotion, and Mental Health State Inference
Users are concerned about privacy, making it difficult to apply traditional emotion recognition methods in daily life.UbiComp '24Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition
lightbulbPractical problemAffect, Emotion, and Mental Health State Inference
Existing emotion inference models perform poorly in cross-cultural contexts, limiting broad application.lightbulbPractical problemAffect, Emotion, and Mental Health State Inference
Existing stress detection methods are overly personalized and cannot achieve universal application.UbiComp '23GSR Based Generic Stress Prediction System
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