Methods for the Design and Evaluation of HCI+NLP Systems
Computation and Language
2021-03-01 v1 Human-Computer Interaction
Abstract
HCI and NLP traditionally focus on different evaluation methods. While HCI involves a small number of people directly and deeply, NLP traditionally relies on standardized benchmark evaluations that involve a larger number of people indirectly. We present five methodological proposals at the intersection of HCI and NLP and situate them in the context of ML-based NLP models. Our goal is to foster interdisciplinary collaboration and progress in both fields by emphasizing what the fields can learn from each other.
Keywords
Cite
@article{arxiv.2102.13461,
title = {Methods for the Design and Evaluation of HCI+NLP Systems},
author = {Hendrik Heuer and Daniel Buschek},
journal= {arXiv preprint arXiv:2102.13461},
year = {2021}
}
Comments
Accepted at the EACL 2021 Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP Workshop)