VLDB 2026 Research / reviewers in the wild / expert
Isabelle Kwan
dblp:402/8958
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0006-5074-7913ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 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 |
Learning and educational technologies · 44% User interface design and tools · 44% Design research and methods · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Learning and educational technologies
self-directed learning |
0.9 | 1 | 2025 | MILESTONES: The Design and Field Evaluation of a Semi-Automated Tool for Promoting Self-Directed Learning Among Online Learners · CHI 2025 |
Design research and methods
field study |
0.3 | 1 | 2025 | MILESTONES: The Design and Field Evaluation of a Semi-Automated Tool for Promoting Self-Directed Learning Among Online Learners · CHI 2025 |
Methods — techniques the papers use, named apart from their topics
tool design · 0.9field evaluation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | How Creatives Approach GenAI Image Generation: Tensions Between Structured Guidance, Self-Experimentation, and Creative AutonomyabstractAs generative AI tools increasingly influence creative practice, they raise longstanding HCI questions about how creatives learn complex software and how they can be better supported. We conducted an interview study with artists and hobbyists (n=8) and a follow-up survey (n=159) to understand how this population approaches and seeks guidance for GenAI image tools. We found that creatives commonly use either self-experimentation or tutorials to explore GenAI tools, yet many struggle with confusing AI terminology. To gain further insight into creatives’ learning experiences, we developed a research probe to elicit creatives’ perceptions of structured guidance. Our user study with 17 creatives revealed that, even when creatives described the guidance as helpful for understanding AI, many still preferred self-experimentation, feeling that guidance could limit their creativity. Our findings highlight a central tension in supporting AI literacy for creatives: balancing guidance and promoting literacy while preserving creative freedom. Haidan Liu, Isabelle Kwan, Taiga Okuma, Jeffrey Loverock, Nicholas Vincent, Parmit K. Chilana |
Creativity & Cognition | 2 |
| 2025 | MILESTONES: The Design and Field Evaluation of a Semi-Automated Tool for Promoting Self-Directed Learning Among Online Learners
Rimika Chaudhury, Courtenay Huffman, Isabelle Kwan, Gurnoor S. Deol, Supreet Dhillon, Parmit K. Chilana |
CHI | 3 |