[2310.12019] DesignQuizzer: A Community-Powered Conversational Agent for Learning Visual Design
Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Human-Computer Interaction

arXiv:2310.12019 (cs)
[Submitted on 18 Oct 2023 (v1), last revised 26 Dec 2023 (this version, v2)]

Title:DesignQuizzer: A Community-Powered Conversational Agent for Learning Visual Design

Authors:Zhenhui Peng, Qiaoyi Chen, Zhiyu Shen, Xiaojuan Ma, Antti Oulasvirta
View PDF HTML (experimental)
Abstract:Online design communities, where members exchange free-form views on others' designs, offer a space for beginners to learn visual design. However, the content of these communities is often unorganized for learners, containing many redundancies and irrelevant comments. In this paper, we propose a computational approach for leveraging online design communities to run a conversational agent that assists informal learning of visual elements (e.g., color and space). Our method extracts critiques, suggestions, and rationales on visual elements from comments. We present DesignQuizzer, which asks questions about visual design in UI examples and provides structured comment summaries. Two user studies demonstrate the engagement and usefulness of DesignQuizzer compared with the baseline (reading this http URL). We also showcase how effectively novices can apply what they learn with DesignQuizzer in a design critique task and a visual design task. We discuss how to use our approach with other communities and offer design considerations for community-powered learning support tools.
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2310.12019 [cs.HC]
  (or arXiv:2310.12019v2 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2310.12019

Submission history

From: Zhenhui Peng [view email]
[v1] Wed, 18 Oct 2023 14:52:44 UTC (26,157 KB)
[v2] Tue, 26 Dec 2023 11:46:37 UTC (26,157 KB)
Full-text links:

Access Paper:

view license
Current browse context:
cs.HC
< prev   |   next >
new | recent | 2023-10
Change to browse by:
cs

References & Citations

export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)