A review of recent deep learning approaches in human-centered machine learning

T Kaluarachchi, A Reis, S Nanayakkara - Sensors, 2021 - mdpi.com
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …

Understanding design collaboration between designers and artificial intelligence: a systematic literature review

Y Shi, T Gao, X Jiao, N Cao - Proceedings of the ACM on Human …, 2023 - dl.acm.org
Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …

The prompt artists

M Chang, S Druga, AJ Fiannaca, P Vergani… - Proceedings of the 15th …, 2023 - dl.acm.org
This paper examines the art practices, artwork, and motivations of prolific users of the latest
generation of text-to-image models. Through interviews, observations, and a user survey, we …

Stylette: Styling the web with natural language

TS Kim, DE Choi, Y Choi, J Kim - … of the 2022 CHI Conference on Human …, 2022 - dl.acm.org
End-users can potentially style and customize websites by editing them through in-browser
developer tools. Unfortunately, end-users lack the knowledge needed to translate high-level …

Vinci: an intelligent graphic design system for generating advertising posters

S Guo, Z Jin, F Sun, J Li, Z Li, Y Shi, N Cao - Proceedings of the 2021 …, 2021 - dl.acm.org
Advertising posters are a commonly used form of information presentation to promote a
product. Producing advertising posters often takes much time and effort of designers when …

Cells, generators, and lenses: Design framework for object-oriented interaction with large language models

TS Kim, Y Lee, M Chang, J Kim - Proceedings of the 36th Annual ACM …, 2023 - dl.acm.org
Large Language Models (LLMs) have become the backbone of numerous writing interfaces
with the goal of supporting end-users across diverse writing tasks. While LLMs reduce the …

A survey on ML4VIS: Applying machine learning advances to data visualization

Q Wang, Z Chen, Y Wang, H Qu - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Inspired by the great success of machine learning (ML), researchers have applied ML
techniques to visualizations to achieve a better design, development, and evaluation of …

IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers

R Wu, W Su, K Ma, J Liao - ACM Transactions on Graphics (TOG), 2023 - dl.acm.org
Scalable Vector Graphics (SVG) is a popular vector image format that offers good support for
interactivity and animation. Despite its appealing characteristics, creating custom SVG …

PopBlends: Strategies for conceptual blending with large language models

S Wang, S Petridis, T Kwon, X Ma… - Proceedings of the 2023 …, 2023 - dl.acm.org
Pop culture is an important aspect of communication. On social media people often post pop
culture reference images that connect an event, product or other entity to a pop culture …

Towards complete icon labeling in mobile applications

J Chen, A Swearngin, J Wu, T Barik, J Nichols… - Proceedings of the …, 2022 - dl.acm.org
Accurately recognizing icon types in mobile applications is integral to many tasks, including
accessibility improvement, UI design search, and conversational agents. Existing research …