Software program developed to assist programmers prototype graphic consumer interfaces


Determine 1. Panels (A1-A3) are interfaces of an internet GUI prototyping instrument (the bottom instrument). Three suggestions three suggestions panels within the GUIComp (Add-on)–Analysis (B), Suggestion (C), and Consideration Panel (D). Credit score: Professor Sungahn Ko, UNIST

A brand new synthetic intelligence (AI) system has been developed to assist unusual untrained individuals to design and create purposes and software program for smartphones and private computer systems. With the assistance of this technique, non-designers can shortly and simply create a user-friendly cell app.

A analysis workforce, led by Professor Sungahn Ko within the College of Electrical and Pc Engineering at UNIST has developed a deep learning-based synthetic intelligence (AI) system that may present design recommendations relating to the most effective layouts by way of the evaluation of graphical consumer interfaces (GUIs) of the cell utility.

The graphical user interface (GUI) is a type of consumer interface that permits customers to work together with electronic devices utilizing graphical icons and different visible indicators. And thus, you will need to create an intuitive, handy, and engaging consumer interface and consumer expertise. Certainly, GUIs play a pivotal function in attracting potential prospects, but unusual untrained individuals might face challenges whereas designing user-friendly GUIs. This was solved by way of synthetic intelligence (AI).

As smartphones have gotten ubiquitous and pervasive in our day by day lives, many issues, like purchasing, making journey inquiries, and SNS actions will be carried out from wherever at any time utilizing cell apps. Because of this, increasingly individuals dream of beginning their very own companies or vitalizing companies utilizing cell apps. Nevertheless, growing intuitive and user-friendly purposes is a painstaking course of for customers with no related expertise and steerage. That is notably as a result of the visible association of icons and texts turns into extra vital as a result of nature of the cell atmosphere, corresponding to small display screen dimension.






Professor Ko solved this subject with the usage of deep-learning-based synthetic intelligence (AI) and iterative design course of. The brand new AI system is able to learning the strengths and weaknesses of the prevailing GUI design patterns, evaluating the created GUIs for cell apps, and suggesting alternate options.

To this finish, the analysis workforce carried out semi-structured interviews, primarily based on which they constructed a GUI prototyping help instrument, referred to as GUIComp by integrating three several types of suggestions mechanisms: advice, analysis, and a focus. In keeping with the analysis workforce, this instrument will be related to GUI design software program as an extension, and it gives real-time, multi-faceted suggestions on a consumer’s present design. Moreover, the analysis workforce carried out two consumer research, wherein they requested individuals to create cell GUIs with or with out GUIComp, and requested on-line employees to evaluate the created GUIs. The experimental results present that GUIComp facilitated iterative design and the individuals with GUIComp had higher a consumer expertise and produced extra acceptable designs than those that didn’t.

“We utilized deep studying strategies for the design advice course of and eye-tracker calibration,” says Chunggi Lee (College of Electrical and Pc Engineering, UNIST) , the primary writer of the research. “Particularly, we used Ok-nearest neighbor Algorithm and Stacked Autoencoder (SAE) to supply real-time, multifaceted suggestions on a consumer’s present design.”

“We’ve put a lot effort into visualization to assist resolve points that customers with no expertise face through the designing technique of user-friendly GUIs,” says Professor Ko. “By securing high quality information, that is anticipated to be utilized to the tutorial sector, corresponding to internet improvement and portray.”

The findings of this research have been revealed in ACM Convention on Human Elements in Computing Methods.


Artificial intelligence makes ‘smart’ apps faster, more efficient


Extra data:
Chunggi Lee et al. GUIComp: A GUI Design Assistant with Actual-Time, Multi-Faceted Suggestions, Proceedings of the 2020 CHI Convention on Human Elements in Computing Methods (2020). DOI: 10.1145/3313831.3376327

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