Demo Data from EDBT 2026 / reviewers in the wild / expert
Jie Xu 0046
dblp:37/5126-46
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0001-9598-0627ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 77% Usability and user experience research · 23% | |
| Computer graphics and multimedia
1 paper |
Visual content generation and editing · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › AI-assisted creativity
LLM-assisted design |
0.8 | 1 | 2024 | C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model · CHI 2024 |
Usability and user experience research
user study |
0.2 | 1 | 2024 | C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
need-finding study · 1.5large language model · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language ModelabstractInterior color design is a creative process that endeavors to allocate colors to furniture and other elements within an interior space. While much research focuses on generating realistic interior designs, these automated approaches often misalign with user intention and disregard design rationales. Informed by a need-finding preliminary study, we develop C2Ideas, an innovative system for designers to creatively ideate color schemes enabled by an intent-aligned and domain-oriented large language model. C2Ideas integrates a three-stage process: Idea Prompting stage distills user intentions into color linguistic prompts; Word-Color Association stage transforms the prompts into semantically and stylistically coherent color schemes; and Interior Coloring stage assigns colors to interior elements complying with design principles. We also develop an interactive interface that enables flexible user refinement and interpretable reasoning. C2Ideas has undergone a series of indoor cases and user studies, demonstrating its effectiveness and high recognition of interactive functionality by designers. Yihan Hou, Manling Yang, Jie Xu 0046, Wei Zeng 0004 |
CHI | 5 |