The DOI matches its Crossref record, with a small difference in title or year; 15 of the 15 references it cites were found in a registry or an index.
LLM-Driven Accessible Interface: A Model-Based Approach
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“A profile loaded once, following the skeleton in Section 3.2 (Table 5) and the reusable-instruction framing already explored for accessible interface generation [26], targets this consistency problem directly rather than the single-instance compliance problem RQ1-RQ2 already address.”
From A Protocol for Evaluating the Accessibility of AI-Generated Educational Materials: Prompt Configuration, WCAG-Derived Criteria, and Content Overload (2026) · cites this paper as [26]
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Cites
PromptInfuser: How Tightly Coupling AI and UI Design Impacts Designers’ Workflows
Petridis, S., Terry, M. A., & Cai, C. J. (2024) · Designing Interactive Systems Conference · doi:10.1145/3643834.3661613 · Cited by 58
Acosta-Vargas, P., Salvador-Acosta, B., Novillo-Villegas, S., Sarantis, D., & Salvador-Ullauri, L. (2024) · Emerging Science Journal · doi:10.28991/esj-2024-08-04-021 · Cited by 49
Voice Assistants for Health Self-Management: Designing for and with Older Adults
Mahmood, A., Cao, S., Stiber, M., Antony, V. N., & Huang, C. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713839 · Cited by 44
PromptInfuser: Bringing User Interface Mock-ups to Life with Large Language Models
Petridis, S., Terry, M. A., & Cai, C. J. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3585628 · Cited by 40
ChartA11y: Designing Accessible Touch Experiences of Visualizations with Blind Smartphone Users
Zhang, Z., Thompson, J. R., Shah, A., Agrawal, M., Sarıkaya, A., Wobbrock, J. O., Cutrell, E. B., & Lee, B. (2024) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3663548.3675611 · Cited by 32
Alshaigy, B., & Grande, V. (2024) · Nordic Conference on Human-Computer Interaction · doi:10.1145/3677045.3685493 · Cited by 26
Design of Generative Multimodal AI Agents to Enable Persons with Learning Disability
Rajagopal, A. R., Nirmala, V., Jebadurai, I. J., Vedamanickam, A. M., & Kumar, P. U. (2023) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3610661.3617514 · Cited by 23
Carik, B., Izaac, V. V., Ding, X., Scarpa, A., & Rho, E. H. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714287 · Cited by 21
Personalising AI Assistance Based on Overreliance Rate in AI-Assisted Decision Making
Swaroop, S., Buçinca, Z., Gajos, K. Z., & Doshi-Velez, F. (2025) · Proceedings of the 30th International Conference on Intelligent User Interfaces · doi:10.1145/3708359.3712128 · Cited by 20
Cao, Y., He, Y., Chen, Y., Chen, M., You, S., Qiu, Y., Liu, M.-L., Luo, C., Chen, Z., Tong, X., et al. (2025) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3708359.3712142 · Cited by 18
Research works printed but not linked: 6
- Wickramathilaka, S., Grundy, J., Madampe, K., Haggag, O.: Adaptive and accessible user interfaces for seniors through model-driven engineering. Autom. Softw. Eng. 32, 1–42 (2025). https://doi.org/10.1007/S10515-025-00547-Z/TABLES/3 · doi:10.1007/s10515-025-00547-z/tables/3
- Cao, Y., Jiang, P., Xia, H.: Generative and malleable user interfaces with generative and evolving task-driven data model. In: Conference on Human Factors in Computing Systems-Proceedings (2025). https://doi.org/10.1145/3706598.3713285/SUPPL_FILE/PN7563-TALK-VIDEO.MP4 · doi:10.1145/3706598.3713285/suppl_file/pn7563-talk-video.mp4
- Warren, G., Shklovski, I., Augenstein, I.: Show me the work: fact-checkers’ requirements for explainable automated fact-checking. In: Conference on Human Factors in Computing Systems - Proceedings (2025). https://doi.org/10.1145/3706598.3713277/SUPPL_FILE/PN8110-TALK-VIDEO-CAPTION.VTT · doi:10.1145/3706598.3713277/suppl_file/pn8110-talk-video-caption.vtt
- Ng, C., Fung, Y.: Educational Personalized Learning Path Planning with Large Language Models (2024). https://arxiv.org/abs/2407.11773. · arXiv
- Wu, J., Schoop, E., Leung, A., Barik, T., Bigham, J.P., Nichols, J.: UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback. https://arxiv.org/abs/2406.07739. · arXiv
- Wei, J., Courbis, A.-L., Lambolais, T., Dray, G., Maalej, W.: On AI-Inspired UI-Design (2024). https://arxiv.org/abs/2406.13631. · arXiv
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Metadata
- Authors
- Jerry, B., Moreno, L., Francisco, V., & Hervas, R.
- Affiliations
- Universidad Carlos III de Madrid (ES)
- Universidad Complutense de Madrid (ES)
- Corresponding author
- Jerry, Blessing
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2026
- Pages
- 36-53
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W7123854655
- Cited by
- 1
- References
- 15
- Citations by year
- 2026: 1
- FWCI
- 8.65
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Locations
- Lecture notes in computer science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- large language models, accessible interfaces, model-driven architecture, adaptive user interfaces, WCAG 2.2, cognitive disability, hearing loss, multimodal interfaces, plain language, pictograms, prompt templates, human-centered AI, co-design, medication instructions, health care
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- Jerry, B., Moreno, L., Francisco, V., & Hervas, R. (2026). LLM-Driven Accessible Interface: A Model-Based Approach. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-032-22937-3_4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
