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Visual Communication In English Short Stories Using Artificial Intelligence (AI) M Reza Ishadi Fadillah; Devito Andharu; Rommel Utungga Pasopati; Kusuma Wijaya; Anggraeni Ramadhani; Anindya Thalita Salsabila
Gudang Jurnal Multidisiplin Ilmu Vol. 2 No. 12 (2024): GJMI - DESEMBER
Publisher : PT. Gudang Pustaka Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/gjmi.v2i12.1130

Abstract

The use of Artificial Intelligence (AI) technology to visualize the narrative of English-language short stories offers a novel approach to enriching the interpretive and aesthetic dimensions of storytelling. Utilizing BingImage.com as an AI-based image generator, textual narratives are transformed into prompts that create visual depictions of each scene. The visuals effectively reflect the mood, emotions, and settings of the story, albeit with some inconsistencies in character depictions across scenes. This exploratory approach examines correlations between narrative and visuals, scene continuity, and aesthetic accuracy. The findings indicate that AI-based visualization can create a more immersive reading experience, enhancing the reader's comprehension through relevant illustrations. This technology also provides creative interpretations that expand the artistic dimensions of short stories. Despite its potential, challenges such as maintaining visual consistency across scenes remain. These findings provide new insights into the integration of digital technology in literary transformation, paving the way for innovative future methodologies.
UNDERLINING SHADOWING TECHNIQUE TO IMPROVE INTERPRETING PRACTICE Anindya Thalita Salsabila; Raffi Achmad Zaky; Machfianita Mirza Ayu Rosyadi; Farham Nazhib Hamdani; Ananda Syahromi Putra; Alvina Salshabilla Linjani Putri; Rommel Utungga Pasopati
Seminar Nasional Hasil Riset dan Pengabdian Vol. 8 (2026): Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Ke 8 Tahun 2026
Publisher : LPPM Universitas PGRI Adi Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study examines the role of shadowing in improving interpreting performance through a library research approach. Shadowing, defined as the immediate repetition of spoken language, is widely recognized as a fundamental training technique in interpreting studies. By reviewing written sources, this research analyzes the theoretical foundations and practical applications of shadowing in interpreter training. The findings indicate that shadowing enhances key interpreting skills, particularly listening accuracy, speech coordination, and processing speed. It allows learners to develop the ability to follow continuous speech while maintaining fluency and proper pronunciation. These skills are essential for ensuring effective and accurate communication in interpreting contexts. Furthermore, shadowing helps interpreters become more familiar with different speech patterns, accents, and intonation, which are essential in real interpreting contexts. Shadowing also serves as a preparatory stage that strengthens cognitive readiness before engaging in more complex interpreting tasks. In conclusion, this study highlights that shadowing is an effective technique that supports the development of interpreting skills and can significantly contribute to improving interpreting service quality when systematically integrated into training programs.