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Yuelu Li

dblp:390/1654 · DBLP profile ↗
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4ranked-venue papers
2as first author
4since 2021 · last 2026
0009-0007-4895-1648ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 2 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
2 papers
Human-AI interaction · 79% Design research and methods · 21%
Artificial intelligence
1 paper
Language models and text generation · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › AI-assisted writing
creative writing support
1.012026
Exploring Creator-Centric Methods for LLM-Assisted Interactive Storytelling · CHI 2026
Visualization and visual analytics
data storytelling
0.912025
At the Peak: Empirical Patterns for Creating Climaxes in Data Videos · IEEE Trans. Vis. Comput. Graph. 2025
Visualization and visual analytics › data storytelling
data videos
0.912025
At the Peak: Empirical Patterns for Creating Climaxes in Data Videos · IEEE Trans. Vis. Comput. Graph. 2025
Natural language and speech › Language models and text generation › text generation
story generation
0.312026
Exploring Creator-Centric Methods for LLM-Assisted Interactive Storytelling · CHI 2026
Design research and methods › design knowledge
design patterns
0.312025
At the Peak: Empirical Patterns for Creating Climaxes in Data Videos · IEEE Trans. Vis. Comput. Graph. 2025

Methods — techniques the papers use, named apart from their topics

large language model · 2.0user study · 1.7plutchik's emotion model · 1.7content analysis · 1.7
YearPublicationVenuePosition
2026 Exploring Creator-Centric Methods for LLM-Assisted Interactive Storytelling
Yuelu Li, Lujin Zhang, Zhihan Guo, Wenchuan Lu, David Kei-Man Yip
CHI1
2025 Enhancing Emotional Exploration and Self-Expression Through AI-Generated Dynamic Visuals: A Study Inspired by the Rorschach Inkblot Test
abstract
This study investigates the use of generative AI with the Rorschach Inkblot Test to support emotional exploration and self-expression. A controlled experiment compared static images with AI-generated dynamic visuals, and expert interviews provided professional insights. Results indicate that dynamic visuals can deepen emotional exploration, enrich narratives, and expand self-expression, though individual differences and content variability remain challenges. This work offers a novel methodology for integrating generative AI into psychological assessment and creative arts while highlighting its potential and ethical considerations.
Yuelu Li, Yuru Huang, Caiyi Chen, Zeyu Yang 0003, David Kei-Man Yip
VINCI1
2025 At the Peak: Empirical Patterns for Creating Climaxes in Data Videos
abstract
Despite the growing popularity of data videos, guidance on designing narrative climaxes that maximise viewers' emotional engagement remains scarce. To address this gap, our work leverages emotional theory to derive patterns for crafting emotionally resonant climaxes of data videos. We first analyzed the climaxes of 96 data videos, categorizing them into eight emotional dimensions based on Plutchik's basic emotion model. Based on data analysis, we then formulated 40 patterns for creating narrative climaxes. To evaluate the patterns when applied as design hints, we conducted a user study with 48 participants, where Group A created data video climaxes using our patterns, Group B created them without our patterns, and Group C used other patterns as the baseline. Evaluations by two experts and 20 general audiences revealed that the climaxes created with the patterns were more emotionally engaging. The participants also praised the clarity and practicality of the patterns.
Zheng Wei 0003, Yuelu Li, Wenchuan Lu, Qiming Gu, Huamin Qu
IEEE Trans. Vis. Comput. Graph.2
2024 Create-to-learn Paradigm: A Proxy Visual Storytelling Tool (PVST) for Stimulating Children's Story Sense and Structure
abstract
Storytelling is vital to children’s development by nurturing creative thinking, effective communication, and self-expression. Many tools have been created to support children’s creativity. Unfortunately, the existing tools do not adequately integrate visual elements with storytelling, limiting children’s imaginative potential. This study addresses the gap by introducing a proxy visual storytelling tool (PVST) that employs a character-based approach (i.e., proxy character assembling) to enhance children’s creativity and storytelling skills. Through a comparative study using Kurt Vonnegut’s “The Shape of Stories" theory, the PVST was evaluated. The results from a pilot test show that the PVST can increase children’s sense of agency and engagement in the storytelling learning process. Additionally, it can stimulate children’s creative imagination, improve their storytelling abilities, and enable them to construct more fluent and articulate narratives. The findings highlight the importance of incorporating visual storytelling elements in enhancing children’s creativity and storytelling skills, ultimately fostering a more engaging and enriching learning experience.
Ka Yan Fung, Lik-Hang Lee, Huamin Qu, Yuelu Li, Shenghui Song 0001, David Kei-Man Yip
VINCI4