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
Sensing, Recognition, and Prediction Methods / Affect, Emotion, and Mental Health State Inference
Existing stress detection methods are overly personalized and cannot achieve universal application.
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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
Post-work stress makes it difficult for users to recover effectively, requiring suitable gaming experiences.Related papers
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Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries
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Gaming for Post-Work Recovery: The Role of Immersion
Jon Mella, Ioanna Iacovides, Anna L Cox
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Affective State Prediction from Smartphone Touch and Sensor Data in the Wild
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