There are three ways to upload an image when using a computer:
No, VAS accounts are for individual use only as noted in the Terms of Service each user agreed to when signing up for their VAS account. VAS accounts will be temporarily disabled if two or more people try to access one VAS account simultaneously, or if a single user tries to access their VAS account on two or more devices simultaneously.
Try to replicate a consumer’s actual visual field as closely as possible. Take photos from sightlines that are likely to be popular or important. Use landscape orientation rather than portrait orientation. Frame photos wide rather than tight. Consider taking photos for more than one condition if you think it might matter to consumers. Examples of conditions include daytime versus nighttime, or when there are people present versus when there are no people present. An important tip is to limit the number of photos you take for analysis. This will limit the amount of extra work you’ll need to do, but we encourage people to avoid losing focus on the creative/marketing as the key topic by spending too much time discussing VAS results. VAS results are simply intended to add an objective data point to the discussion.
No, we consider VAS a complementary tool. Most often, eye tracking studies are intended to capture conscious viewing, and to solicit feedback from subjects about what they are looking at and thinking. But, rest assured that VAS accurately simulates eye tracking results during pre-attentive processing - the first glance moment. VAS results are objective, every time, because no live subjects are involved that may have been biased by knowing they are participating in research or being directed to look at stimulus. We encourage market research professionals to use VAS to help finalize stimulus before implementing an eye-tracking study, a focus group, or any activity.
Use VAS results to gain consensus on visual priorities. Get everyone on the same page as early as possible, which typically saves time and energy throughout a project. Use VAS results to support your recommendations. Increase everyone’s confidence that your marketing will get noticed, and reduce some of the subjective feedback that can create churn.
The VAS application is responsive, so the user interface will re-shape itself to fit the device screen. Remember that using a tablet requires an internet connection. The steps to analyze an image are identical, and you’ll get all 5 VAS results.
However, there are 2 important differences on a smartphone or tablet:
All screenshots will be saved in RGB mode automatically, since it is generated on a computer system. Generally CMYK is used for print, each letter represents a color that are generally used by printers (Cyan, Magenta, Yellow and Key (Black)). I suspect the file you tested was prepared by your creative as a print proof and that anything you save on your computer would be RGB. If you view the original image on your computer and then use the "save as" function to save as a new Jpg or PNG, that would result in an RGB version.
Keep in mind that attention-getting power is always relative – everything within the analyzed image/photo/mockup is evaluated by the model. Therefore, it’s the “mix” of the 5 visual elements in a specific image that dictate the attention getting potential. These elements are the “building blocks” of visual attention, but they work together to create the overall effect.
You can also increase the attention-getting power of your visual priorities by modifying non-priority areas/objects, especially those that VAS results show have strong attention-getting power -- we call these areas distractors. For example, let’s say you want the product variant name on a package to be more prominent, but the ounces/grams text is attracting significant attention. You can do 3 things:
This is perhaps the most common question we receive, and because each image/scene is unique and the 5 elements contribute in a “relative” manner, it’s difficult to identify “best practices” in the conscious viewing sense. There is no formula, but thankfully designers are naturally good at this. Once they understand the model’s output, they are best equipped to recommend what to do next.
VAS results, and especially the Visual Elements result, is intended to inform the designer (and team) to help them understand where the Visual Elements exist within a design/photo, and to provide more detailed data (when mark up is used), that *may* help guide what to try next
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