Call for Papers
Submission Instructions
Long Papers (6 to 8 pages, AAAI format)
A paper describing HRI work, with at least one section devoted to addressing some of the questions outlined above in the discussion section. These will be assessed both on the quality of the technical work and on the depth of the discussion of the relevant questions.
Case Studies (4 to 6 pages, AAAI format)
A paper describing some HRI work done in industry, with at least one section devoted to addressing some of the questions outlined above in the discussion section. These papers will require fewer technical details of the work performed, to encourage industrial authors to contribute, and can instead focus on the process. We will particularly solicit “lessons learned” papers in this category. These papers will be assessed on the completeness of the case study description, and on the depth of the discussion of either process or the relevant questions.
Position Papers (2 pages, AAAI format)
A paper directly discussing some of the questions outlined above. These papers will be assessed on their relevance to the goals of the Symposium, and on the quality of the discussion.
Short Papers (2 pages, AAAI format)
A paper that summarizes some late-breaking or early stage HRI work. Accepted authors will be invited to present a poster at the Symposium. This is primarily intended to give more junior researchers a venue to talk about their work, and to make connections to both academic and industrial colleagues. These papers will be assessed on the quality of the technical work and its presentation.
Contributions will be reviewed by the organizing committee. If you submit a paper, we migth ask you to help us out with one or two reviews.
Contributions can be submitted via EasyChair at https://easychair.org/conferences/?conf=sss23. The submission deadline is January 31, 2023 (AoE).
Important Dates
January 31, 2023 (AoE) — Contributed paper deadline
February 7, 2023 — Contributed paper notifications
February 21, 2023 — Camera ready papers due
March 27, 2023 - March 29, 2023 — Symposium
Themes
Constraints and Needs of HRI in Industry
What does industry mean when it says “HRI”? How is it different from product design?
What are the constraints of deploying HRI at scale in consumer robots?
What parts of academic HRI are most relevant to the industry?
What are the pressing HRI problems that the industry wants to solve? Why?
How do we measure the success of HRI in a consumer product?
What HRI research can we do in an industry setting that we can’t do in academia?
Relevance and Innovation of Academic HRI
What does academia mean when it says “HRI”?
What are the constraints of HRI research in an academic environment?
What industrial or consumer applications drive interesting academic HRI research?
What areas of HRI are academic researchers focused on? Why?
How do we measure the success of academic HRI beyond controlled experiments and p-values?
What HRI research can we do in an academic setting that we can’t do in industry?
Interaction between Academic and Industrial HRI: Publications, Conferences, Tools/Technology Resources, and Experiments
Should industrial HRI practitioners be publishing in conferences and journals? Should these papers look the same as academic HRI papers? Should they be held to the same standard?
What are the constraints of publishing in industry, and how do we address them?
How can academic and industrial HRI researchers collaborate meaningfully across the IP boundary?
How should industrial HRI researchers manage IRB review?
How can industry HRI research benefit more from science-driven approaches?
How can academic HRI research benefit more from real-world problems?
HRI Education and Training: What does Academia and Industry Need?
What does it mean to be an HRI researcher? Is the skill set the same in both the industry and the academy?
How should we be training future HRI researchers? What are the key skills they need for industry and academic career paths?
Since HRI can touch on all aspects of a robot system, how much HRI should robot hardware and software developers know?
How can HRI researchers from non-programming backgrounds integrate successfully with hardware and software development teams? How much technical background do they need to know?