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Seonghoon Ban

dblp:241/3211 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-4963-101XORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-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
2 papers
Design research and methods · 54% Human-AI interaction · 46%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Design research and methods › design space
design space exploration
0.922024
The Impact of Sketch-guided vs. Prompt-guided 3D Generative AIs on the Design Exploration Process · CHI 2024
3D Computational Sketch Synthesis Framework: Assisting Design Exploration Through Generating Variations of User Input Sketch and Interactive 3D Model Reconstruction · Comput. Aided Des. 2020
Human-AI interaction › generative AI
generative AI in design
0.812024
The Impact of Sketch-guided vs. Prompt-guided 3D Generative AIs on the Design Exploration Process · CHI 2024
Geometric modeling and processing
3d reconstruction
0.412020
3D Computational Sketch Synthesis Framework: Assisting Design Exploration Through Generating Variations of User Input Sketch and Interactive 3D Model Reconstruction · Comput. Aided Des. 2020

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

workflow analysis · 0.8linkography · 0.8
YearPublicationVenuePosition
2024 The Impact of Sketch-guided vs. Prompt-guided 3D Generative AIs on the Design Exploration Process
abstract
Various modalities have emerged in the field of 3D generative AI (GenAI) to enhance design outcomes. While some designers find inspiration in prompts to guide their design options, others prefer sketching to embody creative visions. Nonetheless, the impact of the different modalities of 3D GenAI on the design process remains largely unexplored. This study examines the utilization of prompt- and sketch-guided modalities within the design process by conducting linkography and workflow analyses with 12 designers. The results revealed that prompts played a pivotal role in stimulating initial ideation, whereas sketches played a crucial role in embodying design ideas. This investigation highlights the distinct contributions of these modalities at different phases of the design process, suggesting the potential for a more refined and synergistic collaboration between humans and AI. By elucidating the diverse functions of sketches and prompts, we propose prospective directions for the UX framework of the 3D GenAI.
Seung Won Lee 0004, Tae Hee Jo, Semin Jin, Jiin Choi 0001, Kyungwon Yun, Sergio Bromberg, Seonghoon Ban, Kyung Hoon Hyun
CHI7
2020 3D Computational Sketch Synthesis Framework: Assisting Design Exploration Through Generating Variations of User Input Sketch and Interactive 3D Model Reconstruction
Seonghoon Ban, Kyung Hoon Hyun
Comput. Aided Des.1