Daily Activity Lab: ‘Fitbit’ for Babies, Sensing Daily Activity in Development
The Daily Activity Lab is seeking undergraduate research assistants. Led by Kaya de Barbaro, Ph.D., the lab examines day-to-day activities and interactions between mothers and their infants in extended naturalistic home sessions (72 hours+) using a mobile sensor suite. The ultimate goal for this work is to access the basic mechanisms of early social-emotional development and to develop mobile interventions for cases of high risk, such as the transmission of risks for depression from mothers to infants. See more information below if interested!
Our lab uses wearable sensors to study how daily activities of mothers and their infants contribute to their development and well-being. We use various sensors (including some similar to a Fitbit) to access our participants’ activity “in the wild” –that is, in day-to-day, real-world settings. Whereas Fitbit helps people meet fitness goals by tracking steps, we are interested in learning about development by tracking activities that we believe matter for long-term outcomes. For example, we want to track caregivers’ mood and sleep patterns over the course a week, or playing, talking and soothing interactions infants have with their caregivers.
Interested students will have the opportunity to gain experience in community-based research, participant interaction, data collection, and/or analysis of mobile-sensor data streams.
We will work in an interdisciplinary team bridging developmental science, clinical psychology, computer science, human-computer interaction, and electrical engineering.
Qualifications:
We are looking for eager, motivated and detail-oriented undergraduate student standing with a strong GPA. Interest in the research process is essential, but prior research experience is not required.
Given the interdisciplinary nature of the project we welcome students from various disciplines including psychology, computer science, human development and family studies, and electrical engineering.
Fluent/native Spanish speakers are encouraged to apply!
Commitment:
Students must commit an average 10 hours per week for three semesters, or 15 hours per week for two semesters in order to be considered. Course credit is available.
Duties:
There are three ‘tracks’ for research assistants in our lab: Recruitment, Data Collection team and Analysis. Students will contribute to the project according to their skills and interests. In addition to their lab work, students are expected to attend and participate in weekly lab meetings with Dr. de Barbaro and graduate students.
1. Students interested in the Recruitment track will work with community centers (CommUnity Care Clinic, Head Start, Children’s Wellness Center, etc.) and interact directly with caregivers and infants to recruit them for the current project. Students on this team will gain hands-on experience in community-based research, engaging the Austin community in collaborative and reciprocal scholarship.
- Students interested in the Data Collection team will gain valuable research experience including running studies with infants and their caregivers, collecting and coding video and audio data, helping in study design or literature reviews, and other research related activities.
- Students interested in the Analysis team, computer science, engineering or iSchool students, can gain experience developing new algorithms for automated activity detection or writing user-friendly apps for data collection. Electrical engineering students can also gain experience working on new hardware and firmware developments relevant to the project.
Opportunities to work on analyses and contribute to peer-reviewed publications are available for interested students.
To apply:
Please fill out this form: https://docs.google.com/forms/d/1E9FsSa5oMb- ddAtuC44qORkDk1pVAkNtBw5orRVQHEI/edit
Send a copy of your CV/Resume and unofficial transcript (screenshots of online grade-viewer are fine) to mckenseyjohnson@gmail.com.