# Storytelling with Image Data: A Systematic Review and Comparative Analysis of Methods and Tools
## 2 Literature Selection
### Research Questions
What are the applications of storytelling with image data, and how can they provide value for businesses? **  
The main motivation behind this research question is to explore the potential benefits of using image data in storytelling for businesses. With the increasing availability of visual data, businesses have the opportunity to communicate their brand messages in more engaging and impactful ways through the use of images. By answering this research question, we can gain insights into the various applications of storytelling with image data, such as creating marketing campaigns, visualizing data, and enhancing customer experiences. Additionally, we can explore how businesses can leverage these applications to create value for their brand, increase customer engagement, and drive revenue growth. Some potential findings that could arise from this research question include the following:  
* Image data can be used to create compelling marketing campaigns that are more engaging than traditional text-based approaches. * Visualizations of data through image data can provide businesses with valuable insights and help them make data-driven decisions. * The use of image data can enhance the customer experience by creating more immersive and interactive experiences. * Storytelling with image data can help businesses to differentiate their brand and stand out in a crowded marketplace. * The adoption of image data in storytelling can lead to improved brand perception, increased customer loyalty, and ultimately, increased revenue growth. **RQ7. How can the quality of the stories be assessed? **  
The main motivation behind this research question is to provide a framework for evaluating the effectiveness of visual storytelling. While there is a growing interest in the use of visual storytelling, there is a lack of guidance on how to measure the quality of the stories being created. By answering this research question, we can gain insights into the key elements that contribute to the quality of visual stories, such as the clarity of the message, the coherence of the narrative, the use of visual elements to support the story, and the emotional impact of the story. Additionally, we can explore how to measure these elements to assess the overall quality of the story. Some potential findings that could arise from this research question include the following:  
* The identification of key elements that contribute to the quality of visual stories, such as the use of clear and concise messaging, the use of compelling visual elements, and the emotional impact of the story. * The development of a framework for evaluating the quality of visual stories, including the creation of metrics to assess the effectiveness of the story in achieving its intended goals. * The importance of considering the target audience when assessing the quality of visual stories, as different audiences may have different preferences and expectations. * The need to balance the creative and technical aspects of visual storytelling when assessing quality, as both elements are important in creating effective stories. * The potential for using technology, such as eye-tracking or emotional recognition software, to measure the impact of visual storytelling on the viewer.