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} }