Teaching Introductory HRI: UChicago Course "Human-Robot Interaction: Research and Practice"
Clicks: 94
ID: 282519
2024
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
27.9
/100
94 views
25 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #145 of 803 articles by views in arXiv
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 803 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In 2020, I designed the course CMSC 20630/30630 Human-Robot Interaction:
Research and Practice as a hands-on introduction to human-robot interaction
(HRI) research for both undergraduate and graduate students at the University
of Chicago. Since 2020, I have taught and refined this course each academic
year. Human-Robot Interaction: Research and Practice focuses on the core
concepts and cutting-edge research in the field of human-robot interaction
(HRI), covering topics that include: nonverbal robot behavior, verbal robot
behavior, social dynamics, norms & ethics, collaboration & learning, group
interactions, applications, and future challenges of HRI. Course meetings
involve students in the class leading discussions about cutting-edge
peer-reviewed research HRI publications. Students also participate in a
quarter-long collaborative research project, where they pursue an HRI research
question that often involves conducing their own human-subjects research study
where they recruit human subjects to interact with a robot. In this paper, I
detail the structure of the course and its learning goals as well as my
reflections and student feedback on the course.
| Reference Key |
sebo2024teaching
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Sarah Sebo |
| Journal | arXiv |
| Year | 2024 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.