Exploring Novel Horizons and Dimensions in Visual Representation and Interpretation as Transmedia Storytelling Through the Intersection of Photography and AI-Driven Generative Images: A Study

This research therefore seeks to map out new possibilities and avenues of visuality and visual analysis through a combination of the established photographic medium and generated images drawn from Artificial intelligence in transmedia narrative. As an extension of the study of photorealistic virtual media, this work explores how the incorporation of both AI and established photographic techniques further the potential confines of narrative and intensifies viewers' immersive attention across formats. Following a qualitative approach, the study employs three transmedia cases, visual content analysis, and interviews with creators and recipients. Some research findings show that AI provides a lot of creativity with mesh's rendition of images, which can be generated much more quickly as well as elaborate and inventive designs that alongside the realism of photography. Most people had positive responses-60% of them marked that visuals created by AI impacted positively their comprehension of the narrative. Also, the combined images of real and artificial photography also received high overall and creator and spectator perceptions as the effective means of telling complicated stories. But as pointed out, there were concerns with regards to audience reception and interactions including those that designers were forced to work with a deviation far from standard related icons. This was followed by ethical issues of power and control owning the literature where questions regarding who owns AI-generated work were raised. It is found in this research that the integration of photography and generative art based on artificial intelligence is progressing visualization, creating artistic opportunities while raising profound ethical implications. Subsequent studies should expand on such findings to establish more profound insights into the impact that AI application in various volumes of visual media will have on the future of storytelling and the creative industry as a whole.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/icisct64202.2024.10956432
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
1.89
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article

Exploring Novel Horizons and Dimensions in Visual Representation and Interpretation as Transmedia Storytelling Through the Intersection of Photography and AI-Driven Generative Images: A Study

Jyotsana Thakur, Nitin Kumar Mengi, Manish Sirhindi
1 citations
Computational and Text Analysis Methods
1.89
article

Exploring Novel Horizons and Dimensions in Visual Representation and Interpretation as Transmedia Storytelling Through the Intersection of Photography and AI-Driven Generative Images: A Study

Jyotsana Thakur, Nitin Kumar Mengi, Manish Sirhindi
article en
1 citations

Abstract

This research therefore seeks to map out new possibilities and avenues of visuality and visual analysis through a combination of the established photographic medium and generated images drawn from Artificial intelligence in transmedia narrative. As an extension of the study of photorealistic virtual media, this work explores how the incorporation of both AI and established photographic techniques further the potential confines of narrative and intensifies viewers' immersive attention across formats. Following a qualitative approach, the study employs three transmedia cases, visual content analysis, and interviews with creators and recipients. Some research findings show that AI provides a lot of creativity with mesh's rendition of images, which can be generated much more quickly as well as elaborate and inventive designs that alongside the realism of photography. Most people had positive responses-60% of them marked that visuals created by AI impacted positively their comprehension of the narrative. Also, the combined images of real and artificial photography also received high overall and creator and spectator perceptions as the effective means of telling complicated stories. But as pointed out, there were concerns with regards to audience reception and interactions including those that designers were forced to work with a deviation far from standard related icons. This was followed by ethical issues of power and control owning the literature where questions regarding who owns AI-generated work were raised. It is found in this research that the integration of photography and generative art based on artificial intelligence is progressing visualization, creating artistic opportunities while raising profound ethical implications. Subsequent studies should expand on such findings to establish more profound insights into the impact that AI application in various volumes of visual media will have on the future of storytelling and the creative industry as a whole.

Chandigarh University (IN)
Openalex Percentile: Top 8%
Computational and Text Analysis Methods
1.89
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