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Sensing, Recognition, and Prediction Methods / Affect, Emotion, and Mental Health State Inference

Users are concerned about privacy, making it difficult to apply traditional emotion recognition methods in daily life.

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

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

Existing emotion inference models perform poorly in cross-cultural contexts, limiting broad application.

UbiComp '23Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

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

lightbulbPractical problemAffect, Emotion, and Mental Health State Inference

Post-work stress makes it difficult for users to recover effectively, requiring suitable gaming experiences.

CHI '23Gaming for Post-Work Recovery: The Role of Immersion

Related papers

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Lakmal Meegahapola, William Droz, Peter Kun

Gaming for Post-Work Recovery: The Role of Immersion

Jon Mella, Ioanna Iacovides, Anna L Cox

Affective State Prediction from Smartphone Touch and Sensor Data in the Wild

Rafael Wampfler, Severin Klingler, Barbara Solenthaler