Content development and distribution using cognitive sciences database

Abstract

Computer implemented methods and systems facilitate development and distribution of content for presentation on a display or a multiplicity of networked displays, the content including content elements. The content elements may include graphics, text, video clips, still images, audio clips or web pages. The development of the content is facilitated using a database comprising design rules based on principles of cognitive and vision sciences. The database may include design rules based on visual attention, memory, and / or text recognition, for example.

Description

FIELD OF THE INVENTION[0001]The present invention relates to methods and systems for developing content for presentation on a display or a multiplicity of networked displays.BACKGROUND[0002]Designers of content often employ computer application programs that are capable of importing and arranging various types of content. Advertisements, for example, may be developed that incorporate text, graphics, video, and audio elements, among others. In general, the effectiveness of advertising content is a function of a designer's experience, rather than the sophistication of the computer application program used to generate the advertising content.[0003]A successful content designer generally improves his or her skills in a trial and error fashion or by relying on tried-and-true approaches. Imparting an accomplished designer's skills to a less experienced designer is often difficult if not impossible, as such skills tend to be highly stylistic and personal to the particular designer. Because...

AI Technical Summary

Benefits of technology

[0008]According to some implementations, user input data is received regarding each content element, the user input data including information concerning one or both of content goal and intended message. In such implementations, facilitating the development of the content may involve facilitating development of the content using the design rules or models and the user input data.

[0013]Goal information that may be input to the model(s) may include goals that are associated with each of the various models, such as computational model of visual attention, a text readability model or a model of human memory. Typical goal information may include specific elements of the content to be perceived by viewers and the desired order in which such specific elements are perceived. Other goal information may include improving or optimizing text readability based on text size and / or scrolling text rate relative to viewer location and / or speed at which viewers pass by a given display. Additional goal information may include maximizing memory retention and recall of content by viewers, such as by conforming to memory capacity and duration rules of a given model.

[0014]In some implementations, the output represents recommendations for changing the content in conformance with a given model's rules or goals. The recommendations may take several forms, such as a narrative form or images. For example, a menu of possible attributes of the content that may be changed can be presented to the user. The menu of attributes may include a range of attribute values that may be changed by the user, yet still conform with a given model's rules or goals. In other implementations, the output represents a modified form of the original content produced automatically by the computer implemented CVS model or models. A number of variations of modified content may be automatically produced, each of which satisfies the rules or goals of the model or models. The user may then select a desired version of the modified content for presentation. Alternatively, the computer may select one or more of the versions for presentation. In other implementations, the various versions of modified content may be subject to a designed experimental process that improves or optimizes content presentation effectiveness for a number of networked displays, preferably on a display-by-display basis.

Problems solved by technology

Imparting an accomplished designer's skills to a less experienced designer is often difficult if not impossible, as such skills tend to be highly stylistic and personal to the particular designer.

Conventional computer application programs for generating content generally do not provide the designer with tools that allow the designer to exceed his or her own skills for developing effective content.

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