Preprint Concept Paper Version 1 Preserved in Portico This version is not peer-reviewed

Can Artificial Intelligence be Used to Improve Productivity by Automating Elements of the User Experience Design Processes?

Version 1 : Received: 1 February 2022 / Approved: 3 February 2022 / Online: 3 February 2022 (15:17:15 CET)

How to cite: Choudhury, N. Can Artificial Intelligence be Used to Improve Productivity by Automating Elements of the User Experience Design Processes? . Preprints 2022, 2022020057 (doi: 10.20944/preprints202202.0057.v1). Choudhury, N. Can Artificial Intelligence be Used to Improve Productivity by Automating Elements of the User Experience Design Processes? . Preprints 2022, 2022020057 (doi: 10.20944/preprints202202.0057.v1).

Abstract

Artificial Intelligence (AI) has many advantages over humans in that it can detect incredibly subtle patterns within large quantities of data. This study suggests using AI algorithms in user research tasks for mining variables ranging from the tone of voice, image banks, historical records, and product use to determine where brands sit and where there could be competitive advantages. This study reviews the current design processes of User Experience (UX) designers and the advancements in Deep Learning (DL). It identifies potential areas of automation in the Preparation, Incubation and Illumination stages of the design process. It recognises the possibility of using Long Short-Term Memory (LSTM) models to automate design feedback and the creation of alternate designs with Generative Adversarial Networks (GANs).

Keywords

Artificial Intelligence; Deep Learning; Design Processes; Graphic Design; User Experience

Subject

ARTS & HUMANITIES, Media Studies

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