Status: Analysis
Contact: Kelsey Lucca
The goal of this project is to measure infants’ emotional responses (e.g. positive/negative affect) to the helping/hindering events in MB4. We aim to understand the relation between infants' affect and social preferences (e.g. similar to Steckler et al., 2017). We plan to analyze infants' facial expressions (e.g., positive/negative affect) and other observable responses (e.g., posture, following Hepach et al., 2015) while viewing the MB4 habituation videos. In addition to theoretical contributions, we aim to identify new methodological tools that can be used at scale to store, share, and analyze infant video data. We also seek to explore and validate innovative and scalable ways to code variables that previously relied solely on human coding (e.g., facial expression and posture).
Links
- Materials, Protocols, and Documentation: MB4E OSF
Project Leads
-
Laura Franchin, University of Trento
[email]
-
J. Kiley Hamlin, University of British Columbia [email]
-
Kelsey Lucca, Arizona State University [email]
-
Mira L. Nencheva, Stanford University [email]
-
Francis L. Yuen, University of British Columbia [email]
MB4E Contributors
NOTE: Default table ordering is by contributor's first name or by publication author order. You can filter, group, and/or sort entries by any field.
Project contributors can update/add info to the MB Dashboard using this form