hi there.
I'm Olivia Han - a UX Design Intern @ *Lab under Google Stadia
During the summer, I worked on one of the R&D projects which is to design and develop new gameplay interaction by utilizing smart lighting system.
Deep-tionary
Seoul Editors Lab 2017 | UX / UI Design
HACKATHON THEME
The assignment keywords were Politics and South Korean Presidential Election in 2017.
TARGET AUDIENCE / PERSONA
Name
: Min-young Yoon
Age
: 23-years-old
Characteristics
: Got suddenly interested in political issues especially because of the recent political scandal in South Korea with the upcoming Presidential Election.
: This coming election is her first vote as an adult and would like to make a right choice.
PROBLEM STATEMENT
The millennials often skip the politics section of the news. Why are young readers, even those who wish to find out more about actual politics, profoundly discouraged to read political news? The blame could be on the heavy and tedious tone of the articles, rampant use of perplexing jargons, and most importantly, the lack of context.
DESCRIPTION
Deeptionary, a crowdsourcing-based dictionary platform that also curates relevant news, will offer easy and entertaining user-generated explanations that help young readers effortlessly grasp the ongoing context. Once words start making sense, users will be motivated to actually read about politics, and eventually grow interest in direct participation in politics.
UX OUTLINE
Deeptionary will pick out and display on its main page a few ‘Words of the Day’, a set of vocabulary that is trending in Naver news (Korean online web portal) and Twitter trends. Users can freely add their own definitions or any new vocabulary, describing their understanding of the word’s political context in various formats like brief text within 100 characters, links to articles or editorials, embedded tweets, and YouTube videos, and memes supported by GIPHY API. Users will be able to see how people comprehend certain terms, different definitions of the same word, and even track the change of people’s understanding over the course of time—all of which will assist users to digest the intricate political news.
In addition to the web platform, we provide chrome extensions that will allow embedding of Deeptionary, so it could always stay by the users’ side whenever they need assistance, generating a continuous cycle of word digestion and news consumption. We also plan to share our data’s API and the chrome extension as an open source project, to create an open news ecosystem that would encourage and increase the public consumption of political news and general interest in politics.
PROGRAMMING MAP
PROTOTYPE DETAILS
The details about prototype is elaborated in the slideshow below. Please hover the mouse over or click the arrow to see the detailed explanation for each image.
Deep_tionary is a crowd-sourced political term dictionary with news curation service related to each word.
Deep-tionary provides today's political keyword based on the number of votes received from its users. Also, it gives several links to the news articles that mention the keyword.
Deep_tionary is a crowd-sourced political term dictionary with news curation service related to each word.
“GEN Editors Lab programme is a worldwide series of hackathons hosted by leading news organisations such as BBC, El País, The New York Times and Süddeutsche Zeitung. Editors Lab brings together developers, journalists and designers from top newsrooms to build news prototypes during an intensive two-day competition”
As a UIUX designer, I participated Seoul Editors Lab in last April. Our team’s prototype won the competition among over 20 newsrooms, and got to the finalist round held at GEN Summit in Austria last July. The two products each from preliminary(“Deep-tionary”) and final round(“The Gist”) later have become a critical inspiration of the service(“Meanit”) I launched as an official start-up.
Works > Media Industry > Deep_tionary & The Gist
The target audience of our prototype is the millennial generation. To address more specific problem statement, we set a persona for our target audience with several characteristics.
The Gist
Editors Lab Final 2017 | UX / UI Design
HACKATHON THEME
Keep it simple, stupid!: Reporting complex news
With large-scale news stories unfolding over periods of weeks or months, it is easy for readers to lose track and therefore lose interest. How can media organisations make these types of stories more understandable and compelling? With news bombarding us at a head-spinning rate on multiple platforms, which products could make it easier for readers to grasp complex topics like the Syrian conflict, the Panama Papers or Brexit and not succumb to information overload?
TARGET AUDIENCE / PERSONA
Similar to Deep-tionary, The Gist shares the same target audience - the millennial generation. To address more specific problem statement, we set a persona for out target audience with several characteristics.
Name
: Mijin
Age
: 23-years-old
Characteristics
: Interested in current issues regarding political scandal in South Korea.
: This coming election is her first vote as an adult and would like to make a right choice and following-up what's going on is especially important to keep on track.
PROBLEM DEFINITION
TL;DR (Too Long; Didn't read) is a popular internet slang which aptly represents how often the millennials tend to skip reading complex news. Why are young readers, even those who wish to find out more about actual news, profoundly discouraged to read news articles? The blame could be on the heavy and tedious tone of the articles, rampant use of large word junks, difficulty in keeping up with the story, and most importantly, the lack of context.
DESCRIPTION
The Gist, a crowdsourcing-based platform in which users can read, search, and write news summaries that also curates relevant news, will offer easy and entertaining user-generated explanations that help young readers effortlessly grasp the ongoing context.
UX OUTLINE
Readers can view for each topic the 'Gist of the Day(hereafter, GOTD)', the best summary of the news with 5W1H in 140 words and a hilarious meme (supported by GIPHY API). After easily understanding 'what happened today', readers can explore more by viewing the accumulated timeline of the GOTDs to grasp the context regarding the specific news topic. Based on data analysis, The Gist suggests the most mentioned key components of the news story, to enable search function using those core elements (who and where) as filters for other gists. Users can freely add their own gists as well, summarising in their own words their understanding of the most recent news story, with a valid news source and entertaining memes. Users will be able to see what people consider as the gist of the issue. In the aforementioned timeline, users also track the change and flow of facts over the course of time—all of which will assist users to digest the intricate news. We will share our data’s API as an open source project, to create an open news ecosystem that would encourage and increase the public consumption and general interest in news.
PROTOTYPE DETAILS
The details about prototype is elaborated in the slideshow below. Please hover the mouse over on the slide or click the arrow to see the detailed explanation for each image.
A finalist prototype from the Editors Lab 2017 held in Vienna.
Editors Lab Final 2017 topic is to provide a solution for reporting complex news.
A finalist prototype from the Editors Lab 2017 held in Vienna.
Press
"Devising Smart Election Coverage Tools at the Seoul Editors Lab"
from Editors Lab Impact (Medium)
"Devising Smart Election Coverage Tools at the Seoul Editors Lab"
"News Dictionary for the millennials wins the first Editors Lab in Seoul"
from Media Today
"News Dictionary for the Millennials Wins the First Editors Lab in Seoul"