Project EMAR is currently funded by the National Science Foundation as part of the National Robotics Initiative. This project is an interdisciplinary investigation of teen-robot interaction in an effort to effectively capture adolescent stress levels during interactions with a social robot.
This Ecological Momentary Assessment Robot, EMAR, is housed in the Human-Centered Design and Engineering department at UW. The development team includes cross-campus researchers at the University of Washington, based at UW Tacoma and UW Seattle. Learn more at the Project EMAR blog.
Target Participants
High school teens.
Research Questions
- How do we design a social robot that is engaging to teens?
- How do teens and school staff want to see aggregate stress and mood data collected by a social robot?
- How do teens feel about sharing their stress and mood information with a social robot?
Investigators
Elin Björling – Human-Centered Design and Engineering (HCDE)
Emma Rose – School of Interdisciplinary Arts and Sciences (SIAS – UWT)
Maya Cakmak – Computer Science and Engineering (CSE)
Post-Doctoral Researchers
Patrícia Alves-Oliveira – Computer Science & Engineering
Students Researchers
Katelynn Oleson – Undergraduate Research Assistant (HCDE)
Yufei Zhang – Research Experience for Undergraduates (HCDE)
Leah Perlmutter – Graduate Research Assistant (CSE)
Outreach
Project EMAR is currently working with the following High Schools as laboratory schools for the design and development of EMAR:
- Ballard High School – Seattle, WA
- Chief Leschi Schools – Puyallup, WA
- Garfield High School – Seattle, WA
- Henry Foss IB World School – Tacoma, WA
- Ingraham High School – Seattle, WA
- Nathan Hale High School – Seattle, WA
- Oakland High School – Tacoma, WA
- Roosevelt High School – Seattle, WA
- SAMI (Science and Math Institute) – Tacoma, WA
From January to March 2018, Project EMAR had launched a Social Robot Design Challenge for local high schools.
Publications
Teen-Robot Interaction: A pilot study of engagement with a low-fidelity prototype.
Funded by
This work is supported in part by the National Robotics Initiative of the National Science. Foundation under grant no. NRI-1734100.