Describing UI Screenshots in Natural Language

Author:

Leiva Luis A.1ORCID,Hota Asutosh2ORCID,Oulasvirta Antti2ORCID

Affiliation:

1. University of Luxembourg, Esch-sur-Alzette, Luxembourg

2. Aalto University, Espoo, Finland

Abstract

Being able to describe any user interface (UI) screenshot in natural language can promote understanding of the main purpose of the UI, yet currently it cannot be accomplished with state-of-the-art captioning systems. We introduce XUI, a novel method inspired by the global precedence effect to create informative descriptions of UIs, starting with an overview and then providing fine-grained descriptions about the most salient elements. XUI builds upon computational models for topic classification, visual saliency prediction, and natural language generation (NLG). XUI provides descriptions with up to three different granularity levels that, together, describe what is in the interface and what the user can do with it. We found that XUI descriptions are highly readable, are perceived to accurately describe the UI, and score similarly to human-generated UI descriptions. XUI is available as open-source software.

Funder

Horizon 2020 FET program of the European Union through the ERA-NET Cofund funding

European Innovation Council Pathfinder program

Academy of Finland

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Theoretical Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Boosting GUI Prototyping with Diffusion Models;2023 IEEE 31st International Requirements Engineering Conference (RE);2023-09

2. Enabling Conversational Interaction with Mobile UI using Large Language Models;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

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