Sarah Sebo
University of Chicago CS · Assistant Professor of Computer Science
Research focus: human-robot interaction · social robots · robot-assisted learning · human-AI teamwork
针对 Sarah Sebo 的预审审核：申请人应展示 HRI/AI 深度：社会机器人学cs、人类 - 主体评估、robot-assisted learning、human-AI teamwork 或可部署的交互式系统。
Who this advisor fits / 什么情况下适合你
- Applicants should show HRI/AI depth: social robotics, human-subject evaluation, robot-assisted learning, human-AI teamwork, or deployable interactive systems.
- 申请人应展示 HRI 深度：社会机器人学cs、人类 - 主体评估、robot-assisted learning、human-AI teamwork 或可部署的交互式系统。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
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