Pavlovia

Pavlovia is a place for the wide community of researchers in the behavioural sciences to run, share, and explore experiments online.

Authors:  Jonathan W. Peirce
Updated:  2021-01-24
Source:  https://pavlovia.org/
Keywords:  behavior,  experiment,  repository,  psychology

BITTSy: Behavioral Infant & Toddler Testing System

BITTSy is capable of running key infant behavioral testing paradigms, including Headturn Preference Procedure [HPP], Preferential Looking, and Visual Fixation/Habituation, through the same interface.

Authors:  Rochelle Newman,  Emily Shroads,  Elizabeth Johnson,  Ruth Tincoff,  Kris Onishi,  Giovanna Morini
Updated:  2020-09-04
Source:  http://langdev.umd.edu/bittsy/
Keywords:  child-development,  software,  experiment,  behavior,  English

jsPsych

jsPsych is a JavaScript framework for creating behavioral experiments that run in a web browser.

Authors:  Joshua de Leeuw
Updated:  2015-12-24
Source:  https://www.jspsych.org/7.1/
Keywords:  experiment,  psychology,  behavior,  data,  programming

Alberta Language Environment Questionnaire

The ALEQ consists of questions about family demographics, language use among family members in the home, and other aspects of an ESL child's language environment.

Authors:  Johanne Paradis
Updated:  2011-12-24
Source:  https://sites.google.com/ualberta.ca/chesl/questionnaires
Keywords:  language-development,  environment,  language-exposure,  behavior,  speech-pathology,  multilingual

Alberta Language Development Questionnaire

The ALDeQ consists of questions for parents concerning the early and current development of an ESL child's first language. The purpose is to understand whether there may be evidence of delay or difficulties in the first language.

Authors:  Johanne Paradis,  Kristyn Emmerzael,  Tamara Sorenson Duncan
Updated:  2010-01-25
Source:  https://sites.google.com/ualberta.ca/chesl/questionnaires
Keywords:  language-development,  behavior,  language-delay,  multilingual,  speech-pathology

IEMOCAP: The Interactive Emotional Dyadic Motion Capture Database

An acted, multimodal and multispeaker database containing approximately 12 hours of audiovisual data, including video, speech, motion capture of face, text transcriptions.

Authors:  Carlos Busso,  Murtaza Bulut,  Chi-Chun Lee,  Abe Kazemzadeh,  Emily Mower,  Samuel Kim,  Jeannette N. Chang,  Sungbok Lee,  Shrikanth Narayanan
Updated:  2008-11-09
Source:  https://sail.usc.edu/iemocap/
Keywords:  emotions,  behavior,  speech,  gesture,  motion-capture,  english