Tobii Pro Lab: Eye Tracking Software for Behavior Research
Tobii Pro Lab is a comprehensive eye tracking software designed for behavioral research, offering a complete solution for researchers to conduct experiments from test design to data analysis.
Detailed Introduction
Tobii Pro Lab is the world-leading experimental software for eye tracking studies. It provides a visual user interface and dedicated software features that guide and support researchers through all phases of an eye tracking experiment. The software is designed to be powerful yet user-friendly, making it easy to get started with eye tracking research. It offers a large degree of flexibility to run advanced experiments for in-depth insights into attention and cognitive processes. Tobii Pro Lab is ideal for academic researchers and consumer researchers alike, providing valuable insights into human behavior and experience.
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American National Mental Health Services Survey
The American National Mental Health Services Survey (N-MHSS) is an annual survey conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA) to collect data on mental health treatment facilities across the United States. The survey provides detailed information on the services and characteristics of these facilities, helping to inform policy and improve mental health care.
Psy-Insight: Mental Health Counseling Dataset
Psy-Insight is a bilingual, interpretable multi-turn dataset for mental health counseling dialogues. It includes 6,208 rounds of multi-turn counseling dialogues in English and 5,776 rounds in Chinese, annotated with step-by-step reasoning labels and multi-task labels. This dataset is designed to support the application of large language models in mental health and is suitable for tasks such as emotion classification and psychological treatment interpretation.
electronic media datasets - Mental Health Datasets
An evolving list of electronic media datasets used to model mental health status. This repository curates a variety of datasets from different sources, including social media platforms, online forums, and academic studies, to support research in mental health modeling and AI applications.
