Large-scale text-to-image generation models for visual artists' creative works
Large-scale Text-to-image Generation Models (LTGMs)(eg, DALL-E), self-supervised deep
learning models trained on a huge dataset, have demonstrated the capacity for generating …
learning models trained on a huge dataset, have demonstrated the capacity for generating …
An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions
Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic
content across different formats like images, videos, and text. In Generative AI, human …
content across different formats like images, videos, and text. In Generative AI, human …
Too late to be creative? AI-empowered tools in creative processes
AHC Hwang - CHI conference on human factors in computing …, 2022 - dl.acm.org
The present case study examines the product landscape of current AI-empowered co-
creative tools. Specifically, I review literature in both creativity and HCI research and …
creative tools. Specifically, I review literature in both creativity and HCI research and …
Cells, generators, and lenses: Design framework for object-oriented interaction with large language models
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 …
with the goal of supporting end-users across diverse writing tasks. While LLMs reduce the …
Investigating positive and negative qualities of human-in-the-loop optimization for designing interaction techniques
Designers reportedly struggle with design optimization tasks where they are asked to find a
combination of design parameters that maximizes a given set of objectives. In HCI, design …
combination of design parameters that maximizes a given set of objectives. In HCI, design …
BO as assistant: Using Bayesian optimization for asynchronously generating design suggestions
Many design tasks involve parameter adjustment, and designers often struggle to find
desirable parameter value combinations by manipulating sliders back and forth. For such a …
desirable parameter value combinations by manipulating sliders back and forth. For such a …
Towards practical preferential Bayesian optimization with skew Gaussian processes
We study preferential Bayesian optimization (BO) where reliable feedback is limited to
pairwise comparison called duels. An important challenge in preferential BO, which uses the …
pairwise comparison called duels. An important challenge in preferential BO, which uses the …
Expressive communication: Evaluating developments in generative models and steering interfaces for music creation
There is an increasing interest from ML and HCI communities in empowering creators with
better generative models and more intuitive interfaces with which to control them. In music …
better generative models and more intuitive interfaces with which to control them. In music …
Photographic lighting design with photographer-in-the-loop bayesian optimization
It is important for photographers to have the best possible lighting configuration at the time of
shooting; otherwise, they need post-processing on images, which may cause artifacts and …
shooting; otherwise, they need post-processing on images, which may cause artifacts and …
PAGURI: a user experience study of creative interaction with text-to-music models
F Ronchini, L Comanducci, G Perego… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, text-to-music models have been the biggest breakthrough in automatic
music generation. While they are unquestionably a showcase of technological progress, it is …
music generation. While they are unquestionably a showcase of technological progress, it is …