Enrico: A dataset for topic modeling of mobile ui designs
Abstract
Topic modeling of user interfaces (UIs), also known as layout design categorization, contributes to a better understanding of the UI functionality. Starting from Rico, a large dataset of mobile UIs, we revised a random sample of 10k UIs and concluded to Enrico (shorthand of Enhanced Rico), a human-supervised high-quality dataset comprising 1460 UIs and 20 design topics. As a validation example, we train a deep learning model for three different UI representations (screenshots, wireframes, and embeddings). The screenshot representation provides the highest discriminative power (95% AUC) and a competitive accuracy of 75% (a random classifier achieves 5% accuracy in the same task). We discuss several applications that can be developed with this new public resource, including e.g. semantic UI captioning and tagging, explainable UI designs, smart tutorials, and improved design search capabilities.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The ENRICO paper does not include code or provide many details about their experiments (e.g., data splits, hyperparameters).
“The ENRICO paper [93] does not include code or provide many details about their experiments (e.g., data splits, hyperparameters).”
From MultiBench: Multiscale Benchmarks for Multimodal Representation Learning (2021) · cites this paper as [93]
Cited by
Sorted by citations
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Liang, P. P., Lyu, Y., Fan, X., Wu, Z., Cheng, Y., Wu, J., Chen, L., Wu, P., Lee, M. A., Zhu, Y., et al. (2021) · arXiv · doi:10.48550/arxiv.2107.07502 · Cited by 85 · see citing works
- Authors
- Leiva, L. A., Hota, A., & Oulasvirta, A.
- Affiliations
- Aalto University (FI)
- Venue
- 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services
- Publisher
- ACM
- Published
- 2020-10-05
- Pages
- 1-4
- OpenAlex
- W3134648203
- Cited by
- 40
- References
- 0
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 11 · 2023: 11 · 2022: 6 · 2021: 2
- FWCI
- 3.47
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
- Keywords
- topic modeling, wireframes, design search
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
