Paper Title
The Future of Automated Testing: Understanding User Interactions in Silent UI Demos
Article Identifiers
Authors
Janu M K , Dr. S. Bharathidason
Keywords
AI-powered testing, video analysis, test script generation, mute demos, accessibility, computer vision
Abstract
Traditional automated testing methods struggle with UI demo videos lacking audio cues, limiting their applicability and inclusivity. This paper proposes a novel approach to generate test scripts from mute videos using AI-powered video analysis and text generation tools like Azure AI Video Indexer and Google Video Intelligence AI. We address the knowledge gap by analyzing existing research on video-based test script generation, highlighting limitations with audio reliance. Our proposed method leverages computer vision and textual information extraction to interpret user interactions solely from visual cues. This non-audible approach holds the potential to broaden test script generation applicability, enhance inclusivity for users with hearing impairments, and simplify data processing. We discuss potential challenges and propose future research directions, paving the way for more robust and accessible AI-powered testing solutions.
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How To Cite (APA)
Janu M K & Dr. S. Bharathidason (March-2024). The Future of Automated Testing: Understanding User Interactions in Silent UI Demos. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), c279-c281. https://ijnrd.org/papers/IJNRD2403238.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : c279-c281
Other Publication Details
Paper Reg. ID: IJNRD_215137
Published Paper Id: IJNRD2403238
Downloads: 000121977
Research Area: Computer Science & TechnologyÂ
Country: Chennai, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403238.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403238
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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