THE SCHOOL OF INDUSTRIAL DESIGN 

GEORGIA INSTITUTE OF TECHNOLOGY 

Under the provisions of the regulations for the degree 

MASTER OF INDUSTRIAL DESIGN

on

Tuesday, November 28, 2023

11:00 a.m. – 12:30 p.m. EST

    West Architecture -Room 155

Abhishek Shankar

will present a thesis defense entitled,

"UX GUIDE TO MICROINTERACTIONS : ESTABLISHING A CLASSFICATION SYSTEM TO ENABLE MICROINTERACTION DESIGN LITERACY AMONG NOVICE UX DESIGNERS"

Advisor:

Kevin Shankwiler, Georgia Tech School of Industrial Design

Committee:

Courtney Gavin, Georgia Tech School of Industrial Design

Jess Drake, GE Appliances 

Faculty and students are invited to attend this presentation. 

Abstract

In this thesis project, the focus is on the importance of microinteractions in enhancing the user experience (UX) and user interface (UI) design. The study explores how identifying and classifying various animated microinteractions can help improve design literacy among UX/UI designers by integrating motion design elements. Microinteractions are small, task-specific actions that a user can trigger or experience within a user interface, such as liking a post, setting a status, or receiving a notification. They play a crucial role in providing feedback, guiding users, and adding an element of delight to the user experience. To better understand how designers work with motion in product design, subject matter experts (SMEs) were interviewed who revealed that non-motion designers often need help understanding microinteraction design language. To address this, a classification system was developed and hosted online, which permits UX/UI designers to access microinteraction design language. Microinteractions are classified into a visual design system based on triggers, functions, and principles of motion. This classification system was validated by UX/UI designers using interviews and questionnaires. The results showed that the system promotes cross-disciplinary communication and collaboration among design team members by introducing motion design language and terminologies through an organized classification system.