@inproceedings{16947caf6d544aa6b1058eff0976113e,
title = "Demonstrating FEDT: Supporting Characterization Experiments in Fabrication Research",
abstract = "Recent fabrication research across HCI and graphics shows an incredible diversity of work, much of which features characterization experiments. However, performance and reporting of these experiments are wildly inconsistent, not only reducing transparency that reassures reviewers and readers of a project's rigour but also challenging a technique's replicability by future researchers. We propose building a domain-specific language (FEDT: Fabrication Experiment Design Tool) which can express a wide variety of such characterization experiments, and which can be extended to many different machines. This language is sufficiently expressive to describe many types of experiments (3D printing, lasercutting, post-processing), including ones which require human intervention in their steps. We replicate classic fabrication experiments in FEDT to demonstrate its flexibility and discuss the importance and applicability of domain-specific languages and tools to Open Science.",
keywords = "characterization, design tools, domain-specific languages, experiments, fabrication",
author = "Valkyrie Savage and N{\'o}ra P{\"u}s{\"o}k and Harrison Goldstein and Chandrakana Nandi and Ren, \{Jia Yi\} and Lora Oehlberg",
note = "Publisher Copyright: {\textcopyright} 2024 Owner/Author.; 9th ACM Symposium on Computational Fabrication, SCF 2024 ; Conference date: 07-07-2024 Through 09-07-2024",
year = "2024",
month = jul,
day = "7",
doi = "10.1145/3665662.3673270",
language = "English",
series = "Adjunct Proceedings - SCF 2024: 9th ACM Symposium on Computational Fabrication",
publisher = "Association for Computing Machinery, Inc",
editor = "Spencer, \{Stephen N.\}",
booktitle = "Adjunct Proceedings - SCF 2024",
}