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Artificial Intelligence (AI) and End-User Development (EUD) look at automation from two different perspectives. The former tends to provide fully automatic solutions, the latter aims to empower users to directly create what they want. We need both, but it is still unclear how to combine them to obtain effective every-day automations that meet the flexible and dynamic user needs. The panel aims to stimulate the Human-Computer Interaction community to think more carefully about such aspects and the possible approaches to address them.
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End-User Development for Human-Robot Interaction
End-user development (EUD) represents a key step towards making robotics accessible for experts and non-experts alike. Within academia, researchers investigate novel ways that EUD tools can capture, represent, visualize, analyze, and test developer intent. At the same time, industry researchers increasingly build and ship programming tools that enable customers to interact with their robots. However, despite this growing interest, the role of EUD within HRI is not well defined. EUD struggles to situate itself within a growing array of alternative approaches to application development, such as robot learning and teleoperation. EUD further struggles due to the wide range of individuals who can be considered end users, such as independent third-party application developers, consumers, hobbyists, or even employees of the robot manufacturer. Key questions remain such as how EUD is justified over alternate approaches to application development, which contexts EUD is most suited for, who the target users of an EUD system are, and where interaction between a human and a robot takes place, amongst many other questions. We seek to address these challenges and questions by organizing the frst End-User Development for Human-Robot Interaction (EUD4HRI) workshop at the 2024 International Conference of Human-Robot Interaction. The workshop will bring together researchers with a wide range of expertise across academia and industry, spanning perspectives from multiple subfields of robotics, with the primary goal being a consensus of perspectives about the role that EUD must play within human-robot interaction.
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- Award ID(s):
- 1925043
- PAR ID:
- 10536756
- Publisher / Repository:
- ACM
- Date Published:
- ISBN:
- 9798400703232
- Page Range / eLocation ID:
- 1355 to 1357
- Format(s):
- Medium: X
- Location:
- Boulder CO USA
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript
- Conference Paper:
- https://doi.org/10.1145/3610978.3638546
