Browse Prior Art Database

Visual Impact Analyzing System for Cross-Domain Business Intention and Personal Usage Disclosure Number: IPCOM000245125D
Publication Date: 2016-Feb-10
Document File: 5 page(s) / 113K

Publishing Venue

The Prior Art Database


Described is a system for assessing visual impact automatically and making suggestions which improve the visual impact of an interface.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 42% of the total text.

Page 01 of 5

Visual Impact Analyzing System for Cross - Usage

Visual impact is important for both business and personal usage. A good visual interface or marketing material reaches the right audience, leaves the desired impression, and brings profits. Similarly, a good personal image contributes to career-wise success, social networking, and other general well-beings.

    In a good business practice, visual material design takes time, especially in the process continuously recruiting and communicating with targeted audience/authorities. Each iteration starts from collecting information from the targeted audience/authorities, moves on to collaborative designing and brain-storming, and ends with sending back to audience/authorities for feedback. Saving some iterations saves money. Meanwhile, many mid-small scope designs has very short time span and limited access to objective feedback. One may need to make a poster for a 500 people event happens in the next days, but can only conveniently access to co-workers for subjective opinions. This also applies to personal image, where most "dressing up" is a short-period subjective process.

    One noticeable trend in interface development is the development and sophistication of design principles. For example, IBM* Design Language shares designers' vocabulary and guidelines within and outside the communities. The IBM Design Language also recommends evaluation tools such as color-contrast analyzer (based on color-wheel principle) and type-scale calculator. The design-principles provide objective and scientific design measurements. However, it is expensive to manually evaluate designs against large sets of design principles, especially when some of the principles are conflicting in certain situations. Moreover, these design principles do not incorporate designer's intention and contextual information. For the same product, visual material displays on the busy Wall Street may need a different look when being printed on product packages at local grocery markets.

    Thus, a system has been designed that evaluates an image's visual impact against design principles, user intention, and context information. The system will then provide objective feedback and suggestions. Moreover, this system incorporates domain models, allowing it to adapt to a wide range of tasks from analyzing personal image to analyzing marketing materials following a corporation's design guidance.This innovation will help both individuals and businesses to leave a powerful and appealing visual impact to the right audience. Where this was recognized was when this UI was put in user studies to get feedback on the usage for the Treatment Tradeoff Analysis visualizer. The users focused on different things based on the visual make-up of the regions and missed the intent due to the visual cues. It was recognized that there should be a more automated and intelligent way to find whether your visual esthetics will match the desired intent based on the place...