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.
مقدمة مفصلة
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.
المزيدمجموعة البيانات
Hugging Face Dataset - NamelessAI Helply
This paper discusses Helply - a synthesized ML training dataset focused on psychology and therapy, created by Alex Scott and published by NamelessAI. The dataset developed by Alex Scott is a comprehensive collection of synthesized data designed to train LLMs in understanding psychological and therapeutic contexts. This dataset aims to simulate real-world interactions between therapists and patients, enabling ML models to learn from a wide range of scenarios and therapeutic techniques.
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.
SAMHDA: Substance Abuse and Mental Health Data Archive
The Substance Abuse and Mental Health Data Archive (SAMHDA) provides a comprehensive collection of data sets related to mental health and substance use. It includes ongoing studies, population surveys, treatment facility surveys, and client-level data, offering valuable insights for researchers and policymakers.