2ndInternational Workshop on Designerly HRI Knowledge. Reflecting on HRI practices through Annotated Portfolios of Robotic Artefacts

Conference Paper (2022)
Author(s)

Maria Luce Lupetti (TU Delft - Form and Experience)

Cristina Zaga (University of Twente)

N. Cila (TU Delft - Human Technology Relations)

Michal Luria (Carnegie Mellon University)

Marius Hoggenmuller (University of Sydney)

Malte F. Jung (Cornell University)

Research Group
Form and Experience
Copyright
© 2022 M.L. Lupetti, Cristina Zaga, N. Cila, Michal Luria, Marius Hoggenmuller, Malte F. Jung
DOI related publication
https://doi.org/10.1109/HRI53351.2022.9889569
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 M.L. Lupetti, Cristina Zaga, N. Cila, Michal Luria, Marius Hoggenmuller, Malte F. Jung
Research Group
Form and Experience
Pages (from-to)
1269-1271
ISBN (electronic)
['978-1-5386-8554-9', '978-1-6654-0731-1']
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

We propose a workshop stemming from ongoing conversations about the role of design methods and designed artefacts within the field of Human-Robot Interaction (HRI). Given the growing interest in understanding what the field can learn from design explorations, the workshop focuses on hands-on annotating activity where participants (researchers and practitioners from HRI, Human-Computer Interaction, and Design Research) will analyze and reflect upon selected collections of robotic artefacts. Ultimate goal of the workshop is to explicate values, concepts and perspectives that usually remain tacitly embedded in the designed artefacts and, as such, hard to appreciate as proper HRI contributions. The expected outcome of the workshop is a set of methodological recommendations and concrete examples of what kind of knowledge can be generated through robotic artefacts.

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