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AutoTask: Executing Arbitrary Voice Commands by Exploring and Learning from Mobile GUI

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arxiv 2312.16062 v1 pith:JBWXLWV7 submitted 2023-12-26 cs.HC

classification cs.HC
keywords autotaskvoicechallengecommandsdevicesenvironmentexperiencesinterfaces
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Voice command interfaces (VCIs) have gained increasing importance, enabling hands-free and eyes-free interaction with digital devices. However, the inherent complexity in constructing effective voice interfaces has limited the VCIs' functionalities to only a small fraction of GUI applications and tasks. This paper presents AutoTask, a VCI capable of automating any task in any mobile application without configuration or modification from developers or end users. The primary challenge for AutoTask is the lack of knowledge, as it needs to accomplish unknown tasks (e.g., user commands) within an unknown environment (e.g., GUI). To address this challenge, AutoTask employs two strategies: (1) trial and error: AutoTask explores the GUI, attempts potential operation sequences, and recovers from errors through backtracking; (2) learning from the environment: AutoTask accumulates experiences during exploration and summarizes correct knowledge from these experiences. We implemented AutoTask on Android devices and conducted an evaluation study, which proved the feasibility of AutoTask.

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  1. Software Engineering for and with GUI Agent

    cs.SE 2026-08 conditional novelty 5.0 of 10

    A survey of 336 GUI-agent papers finds rapid growth alongside weak engineering support for recovery, human oversight, maintainability, and privacy, and calls for lifecycle-centered testing and governance.

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