Rataplan

Author:

Veuskens Tom1,Luyten Kris1,Ramakers Raf1

Affiliation:

1. Hasselt University - tUL - Flanders Make Expertise Centre for Digital Media, Diepenbeek, Belgium

Abstract

We present Rataplan, a robust and resilient pixel-based approach for linking multi-modal proxies to automated sequences of actions in graphical user interfaces (GUIs). With Rataplan, users demonstrate a sequence of actions and answer human-readable follow-up questions to clarify their desire for automation. After demonstrating a sequence, the user can link a proxy input control to the action which can then be used as a shortcut for automating a sequence. Alternatively, output proxies use a notification model in which content is pushed when it becomes available. As an example use case, Rataplan uses keyboard shortcuts and tangible user interfaces (TUIs) as input proxies, and TUIs as output proxies. Instead of relying on available APIs, Rataplan automates GUIs using pixel-based reverse engineering. This ensures our approach can be used with all applications that offer a GUI, including web applications. We implemented a set of important strategies to support robust automation of modern interfaces that have a flat and minimal style, have frequent data and state changes, and have dynamic viewports.

Funder

Fonds Wetenschappelijk Onderzoek

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference31 articles.

1. Khalid Alharbi and Tom Yeh. 2019. Sikuli Slides. http://slides.sikuli.org. Accessed: 2019-07-30. Khalid Alharbi and Tom Yeh. 2019. Sikuli Slides. http://slides.sikuli.org. Accessed: 2019-07-30.

2. The Tangible Desktop

3. Ringer: web automation by demonstration

4. VoodooSketch

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. Interaction Proxy Manager;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-09-27

2. Web Augmentation as a Technique to Diminish User Interactions in Repetitive Tasks;IEEE Access;2021

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