Prompt2Task: Automating UI Tasks on Smartphones from Textual Prompts

UI task automation enables efficient task execution by simulating human interactions with GUIs, without modifying the existing application code. However, its broader adoption is constrained by the need for expertise in both scripting languages and workflow design. To address this challenge, we present Prompt2Task, a system designed to comprehend various task-related textual prompts (e.g., goals, procedures), thereby generating and performing the corresponding automation tasks. Prompt2Task incorporates a suite of intelligent agents that mimic human cognitive functions, specializing in interpreting user intent, managing external information for task generation, and executing operations on smartphones. The agents can learn from user feedback and continuously improve their performance based on the accumulated knowledge. Experimental results indicated a performance jump from a 22.28% success rate in the baseline to 95.24% with Prompt2Task, requiring an average of 0.69 user interventions for each new task. Prompt2Task presents promising applications in fields such as tutorial creation, smart assistance, and customer service.

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Publication Details

Journal
ACM Transactions on Computer-Human Interaction
Published
2025-02-05
DOI
https://doi.org/10.1145/3716132
Citations
1
Primary Topic
Personal Information Management and User Behavior
Type
article
Field-Weighted Citation Impact
4.17
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Prompt2Task: Automating UI Tasks on Smartphones from Textual Prompts

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article

Prompt2Task: Automating UI Tasks on Smartphones from Textual Prompts

Weinan Shi, Chun Yu, David C. Yang, Yuanchun Shi, Weiqi Sun, Tian You Huang, Z.-H Peng
article en
1 citations

Abstract

UI task automation enables efficient task execution by simulating human interactions with GUIs, without modifying the existing application code. However, its broader adoption is constrained by the need for expertise in both scripting languages and workflow design. To address this challenge, we present Prompt2Task, a system designed to comprehend various task-related textual prompts (e.g., goals, procedures), thereby generating and performing the corresponding automation tasks. Prompt2Task incorporates a suite of intelligent agents that mimic human cognitive functions, specializing in interpreting user intent, managing external information for task generation, and executing operations on smartphones. The agents can learn from user feedback and continuously improve their performance based on the accumulated knowledge. Experimental results indicated a performance jump from a 22.28% success rate in the baseline to 95.24% with Prompt2Task, requiring an average of 0.69 user interventions for each new task. Prompt2Task presents promising applications in fields such as tutorial creation, smart assistance, and customer service.

ACM Transactions on Computer-Human InteractionVol. 32(3)
Qinghai University (CN), Sichuan University (CN), Tsinghua University (CN)
Openalex Percentile: Top 8%
Personal Information Management and User Behavior
4.17
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