HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale.
Sepideh Mesbah|Ines Arous|Jie Yang|Alessandro Bozzon
| Anthology ID: | DBLP:conf/www/MesbahA0B23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3837-3848 |
| URL: | https://doi.org/10.1145/3543507.3583496 |
| DOI: | https://doi.org/10.1145/3543507.3583496 |
| DBLP: | conf/www/MesbahA0B23 |
| BibTeX: |
@inproceedings{mesbah-2023-hybrideval,
author = {Sepideh Mesbah and
Ines Arous and
Jie Yang and
Alessandro Bozzon},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {3837--3848},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583496},
doi = {https://doi.org/10.1145/3543507.3583496}
}