Bio

Academic
2013 - 2018 : Stanford : Lecturer : Visual Thinking, ME115C: Design and Business Factors
2018 - Present : Stanford : Lead Lecturer : Design 161 Capstone

Professional
2004 - 2007 : Azud : VP Product
2007 - Present : Daylight Design : Partner

Academic Appointments

  • Lecturer, Hasso Plattner Institute of Design

Administrative Appointments

  • Faculty Advisor, Stanford University (2020 - Present)

Honors & Awards

  • Terman Fellow, Stanford School of Engineering (2020)

Professional Education

  • MS, Stanford University, Engineering/Product Design (2002)

Contact

  • Academic
    bnewman@stanford.edu
    University - Academic staff Department: d.school Position: Lecturer
  • Alternate Contact Office Hour Appointments https://calendly.com/brettnewman/office-hours

Additional Info

  • Mail Code: 4021

2024-25 Courses

All Publications

  • The BabyView camera: Designing a new head-mounted camera to capture children's early social and visual environments. Behavior research methods Long, B., Goodin, S., Kachergis, G., Marchman, V. A., Radwan, S. F., Sparks, R. Z., Xiang, V., Zhuang, C., Hsu, O., Newman, B., Yamins, D. L., Frank, M. C. 2023

    Abstract

    Head-mounted cameras have been used in developmental psychology research for more than a decade to provide a rich and comprehensive view of what infants see during their everyday experiences. However, variation between these devices has limited the field's ability to compare results across studies and across labs. Further, the video data captured by these cameras to date has been relatively low-resolution, limiting how well machine learning algorithms can operate over these rich video data. Here, we provide a well-tested and easily constructed design for a head-mounted camera assembly-the BabyView-developed in collaboration with Daylight Design, LLC., a professional product design firm. The BabyView collects high-resolution video, accelerometer, and gyroscope data from children approximately 6-30 months of age via a GoPro camera custom mounted on a soft child-safety helmet. The BabyView also captures a large, portrait-oriented vertical field-of-view that encompasses both children's interactions with objects and with their social partners. We detail our protocols for video data management and for handling sensitive data from home environments. We also provide customizable materials for onboarding families with the BabyView. We hope that these materials will encourage the wide adoption of the BabyView, allowing the field to collect high-resolution data that can link children's everyday environments with their learning outcomes.

    View details for DOI 10.3758/s13428-023-02206-1

    View details for PubMedID 37656342

    View details for PubMedCentralID 8375006