Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives

Area of Science:

• Developmental Psychology
• Child Development
• Experience-Dependent Change

Background:

• Advances in recording devices and data repositories offer insights into infant and toddler experiences.
• Manual annotation of extensive recordings is a significant barrier to research, often limiting study scope.
• Lack of foundational data hinders effective implementation of annotation strategies.

Purpose of the Study:

• To provide a framework for manual annotation of extensive everyday life experiences.
• To reduce theoretical and practical overwhelm associated with large-scale data annotation.
• To facilitate the study of experience-dependent developmental change.

Main Methods:

• Development of a framework for manual annotation of everyday life recordings.
• Exploration of principles and implementation examples for annotating extended timescales.
• Focus on quantifying everyday ecologies, using everyday music as a case study.

Main Results:

• A framework is presented to make manual annotation of extensive everyday life data more manageable.
• Principles and tools are shared to address challenges in annotating long-term recordings.
• The approach aims to maximize the return on investment for large databases of recordings.

Conclusions:

• The proposed framework can help researchers overcome annotation barriers in developmental science.
• Scalable annotation solutions enable broader community engagement and discovery.
• This facilitates a deeper understanding of the everyday experiences that shape development.