AI-powered Data Widgets for Digital Creators

Overview

“Pitch” is optimized for multi-device environments. It organizes data by intended purpose within the user’s work software, based on typical workflows.

My Role

UX Designer
Led end-to-end design from UX Research, UX Strategy, Ideation, Wireframing, UX/UI Design, Brand design, and Exhibition space design.

Type

Samsung Multi-Devices Project

Duration

4 Months
Apr 16 - Aug 23, 2023

Team

2 UX Designers
3 Visual Designers

Achievement

Selected for Samsung Design Exhibition

Our design was selected for the Samsung Design Exhibition. We presented our design directly to the CDO and over 2,000 designers, receiving highly positive feedback.

Design Challenge

How might we intelligently assist creators to manage and use their work data more easily to boost productivity?

Background

Digital creators' cloud is packed with diverse work data.

From short Reels to full-length YouTube content, creating has become accessible to everyone. Creators shoot, edit, and upload creations daily, generating countless files. It quickly fills up their cloud storage.

Problem

Creators' data is scattered, without a clear distinction between its intended purposes.

Digital creators often work on multiple things at the same time. For example, someone might upload vlogs as a YouTuber while also working on a school project with classmates. As they juggle these different tasks, their data gets stored across various devices and work tools. This data is usually saved freely, without a clear purpose or structure.

Solution

AI-powered widget panel that categorizes work data by purpose and organizes it according to creators' workflows.

The widget panel provides users with relevant work data in the right context. It includes frequently used variables and task-specific work data, which are then organized in a sequence that aligns with the user's typical workflow.

AI-powered Data Widgets for digital creators

1. Data separated by its intended purpose

Data is categorized by profile. If set to "Video Editor," relevant data from various devices and tools is consolidated. This is done by analyzing work data attributes using metadata.

2. Data Widget Panel for work softwares

The widget panel's location varies depending on the software used. It contains not only photos and videos but also design layouts, editing techniques, and other elements reflecting the user's workflow, helping streamline tasks efficiently.

Drag and drop the data in the workspace
to use work data.

The widget panel's location varies depending on the software used. It contains not only photos and videos but also design layouts, editing techniques, and other elements reflecting the user's workflow, helping streamline tasks efficiently.

(Before) Applying Work Data

Users can drag and drop their desired images and color values to apply the data to their current workspace.

(After) Applied Work Data

The current working file updates according to the applied work data.

What I've learned

1. The huge potential of metadata

Throughout the project, we frequently consulted senior UX designers who specialize in cutting-edge AI technologies. Through these discussions, I gained insights into different types of metadata, its current applications, and the advancements in related technologies.

2. Deep understanding of Operating System

I learned how data is interconnected across various Samsung Android devices and services. I also referenced Samsung One UI to design the design system, which helped me understand how a design system functions within an operating system.