Direction: Sensing, Recognition, and Prediction Methods

Affect, Emotion, and Mental Health State Inference

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2024

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helpResearch questionAffect, Emotion, and Mental Health State Inference

How do personalized deep learning models differ from non-personalized models in emotion recognition performance?

UbiComp '24Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition

helpResearch questionAffect, Emotion, and Mental Health State Inference

How effective are different personalization approaches (fine-tuning, group clustering, multi-task learning, etc.) across multiple datasets?

UbiComp '24Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can personalized models adapt to new users and improve emotion recognition performance under limited data?

UbiComp '24Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition

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

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can sentiment scores of screen text be used to predict users' emotional states?

UbiComp '24Predicting Affective States from Screen Text Sentiment

helpResearch questionAffect, Emotion, and Mental Health State Inference

Can zero-shot and few-shot prompting with LLMs outperform linear regression in emotion prediction?

UbiComp '24Predicting Affective States from Screen Text Sentiment

helpResearch questionAffect, Emotion, and Mental Health State Inference

What role does personalized modeling play in screen-text emotion prediction?

UbiComp '24Predicting Affective States from Screen Text Sentiment

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

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can large language models (LLMs) be used with online text data to predict mental health status?

UbiComp '24Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

helpResearch questionAffect, Emotion, and Mental Health State Inference

How does multi-task instruction tuning enhance LLM performance and cross-task generalization in mental health prediction?

UbiComp '24Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

helpResearch questionAffect, Emotion, and Mental Health State Inference

How do conversational models (e.g., Alpaca) and task-oriented models (e.g., FLAN-T5) differ in mental health prediction tasks?

UbiComp '24Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

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

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can IMU data from wearable devices enable personalized emotion recognition?

UbiComp '24Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition

helpResearch questionAffect, Emotion, and Mental Health State Inference

Can virtually generated IMU data from cross-modal translation effectively improve emotion recognition model performance?

UbiComp '24Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can emotion recognition models be personalized using users' real IMU data?

UbiComp '24Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion Recognition

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

helpResearch questionAffect, Emotion, and Mental Health State Inference

Can mobile sensing-based emotion inference models generalize across cultural and geographic differences?

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

helpResearch questionAffect, Emotion, and Mental Health State Inference

Can partial personalization of emotion inference models improve model accuracy?

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

helpResearch questionAffect, Emotion, and Mental Health State Inference

Which sensing features show strong correlation in cross-regional emotion inference?

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 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

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can a universal stress prediction model be developed that applies across different individuals and tasks?

UbiComp '23GSR Based Generic Stress Prediction System

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can GSR-based feature engineering improve stress detection accuracy and generalization?

UbiComp '23GSR Based Generic Stress Prediction System

helpResearch questionAffect, Emotion, and Mental Health State Inference

What performance can ensemble voting classifiers combining multiple machine learning models achieve in stress classification tasks?

UbiComp '23GSR Based Generic Stress Prediction System

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

helpResearch questionAffect, Emotion, and Mental Health State Inference

How does immersion affect players' post-work recovery potential?

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

helpResearch questionAffect, Emotion, and Mental Health State Inference

How do the five subdimensions of immersion predict different post-work recovery experiences?

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

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

helpResearch questionAffect, Emotion, and Mental Health State Inference

Can smartphone touch and sensor data predict users' emotional states in real-world scenarios?

CHI '22Affective State Prediction from Smartphone Touch and Sensor Data in the Wild

helpResearch questionAffect, Emotion, and Mental Health State Inference

Can heatmap representations of phone interaction data enable efficient emotional state classification?

CHI '22Affective State Prediction from Smartphone Touch and Sensor Data in the Wild

helpResearch questionAffect, Emotion, and Mental Health State Inference

Can user personalization improve the accuracy of emotional state prediction?

CHI '22Affective State Prediction from Smartphone Touch and Sensor Data in the Wild

lightbulbPractical problemAffect, Emotion, and Mental Health State Inference

Users cannot use smart devices to understand their emotional states in real time to improve experience.

CHI '22Affective State Prediction from Smartphone Touch and Sensor Data in the Wild

helpResearch questionAffect, Emotion, and Mental Health State Inference

How can user interest in extended display content be inferred from viewing time data?

UbiComp '21Inverse Foraging: Inferring Users’ Interest in Pervasive Displays

helpResearch questionAffect, Emotion, and Mental Health State Inference

In non-interactive public display scenarios, which parametric models can more accurately predict user interest?

UbiComp '21Inverse Foraging: Inferring Users’ Interest in Pervasive Displays

helpResearch questionAffect, Emotion, and Mental Health State Inference

Can inverse models based on information foraging theory dynamically optimize content layout in real scenarios?

UbiComp '21Inverse Foraging: Inferring Users’ Interest in Pervasive Displays

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

Adjacent categories

Sensing, Recognition, and Prediction Methods

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Top Authors

1. Alethia Hume1
2. Altangerel Chagnaa1
3. Amalia De Gamalia De Götzen1
4. Amarsanaa Ganbold1
5. And Fausto Giunchiglia1
6. Anna L Cox1
7. Barbara Solenthaler1
8. Can Günel1
9. Carlo Caprini1
10. Chaitanya Nutakki1

Top Institutions

Collaboration summary

Aalborg University

+ 伦敦政治经济学院

Aalborg University

+ 吉林大学

Aalborg University

+ 奥尔堡大学

Aalborg University

+ 波托西诺科学技术研究所

Aalborg University

+ 艾迪亚普研究所

Aalborg University

+ 蒙古国立大学

Affect, Emotion, and Mental Health State Inference

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Related papers

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

Gaming for Post-Work Recovery: The Role of Immersion

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

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Predictive Modeling, Behavior Inference, and Trend Estimation Methods

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Interaction Performance and Human Movement Prediction Models

WiFi Fingerprinting and Indoor Localization

Mobile Sensing and User Behavior Prediction Modeling

Environmental Detection, Quality Monitoring, and Anomaly Identification Methods