Research Projects
DataDive: Supporting Readers’ Contextualization of Statistical Statements with Data Exploration
IUI 2024 Full Paper
Statistical statements that refer to data to support narratives or claims are commonly used to inform readers about the magnitude of social issues. While contextualizing statistical statements with relevant data supports readers in building their own interpretation of statements, the complexity of finding contextual information on the web and linking statistical statements with it impedes readers’ efforts to do so. We present DataDive, an interactive tool for contextualizing statistical statements for the readers of online texts. Based on users’ selections of statistical statements, our tool uses an LLM-powered pipeline to generate candidates of relevant contexts and poses them as guiding questions to the user as potential contexts for exploration. When the user selects a question, DataDive employs visualizations to further help the user compare and explore contextually relevant data. A technical evaluation shows that DataDive generates important and diverse questions that facilitate exploration around statistical statements and retrieves relevant data for comparison. Moreover, a user study with 21 participants suggests that DataDive facilitates users to explore diverse contexts and to be more aware of how statistical data could relate to the text.
Supporting Listening to Diverse Opinions in Online Space by Reducing Stereotypes
Hyunwoo Kim, Haesoo Kim, Kyung Je Jo & Juho Kim
CSCW 2021 Full Paper
A lot of people believed that the Internet could be an ideal public sphere, where everyone can freely exchange their opinions. However, in reality, people tend to only listen to opinions aligned with their own by filtering out perspectives challenging their prior viewpoints. Sometimes, people even end up having stereotypes on people with opposing opinions, like “it would be just moms with teenager kids who think that video game addiction should be regulated”.
What if people can discover there exists a variety of opinions from diverse groups of people? What if we can see a person with a completely different stance on a social issue from us but with a lot of shared characteristics? Will we pay more attention to their opinions? Based on this idea, we recently launched an experimental online platform called “별별생각” (byulbyul.kr), where a) people can share their characteristics as well as their opinions on social issues and b) people can see the distribution of opinions and search for people with shared characteristics.
Talk by Professor Juho Kim (Korean version)
Live system (In Korean)
Crowdsourcing Perspectives on Public Policy from Stakeholders
Hyunwoo Kim, Eun-Young Ko, Donghoon Han, Sung-chul Lee, Simon Perrault, Jihee Kim & Juho Kim
CHI 2019 Extended Abstracts
Personal deliberation, the process through which people can form an informed opinion on social issues,serves an important role in helping citizens construct a rational argument in the public deliberation.However, existing information channels for public policies deliver only few stakeholders’ voices, thusfailing to provide a diverse knowledge base for personal deliberation. This paper presents an initialdesign of PolicyScape, an online system that supports personal deliberation on public policies byhelping citizens explore diverse stakeholders and their perspectives on the policy’s effect. Building onliterature on crowdsourced policymaking and policy stakeholders, we present several design choicesfor crowdsourcing stakeholder perspectives. We introduce perspective-taking as an approach forpersonal deliberation by helping users consider stakeholder perspectives on policy issues. Our initialresults suggest that PolicyScape could collect diverse sets of perspectives from the stakeholders ofpublic policies, and help participants discover unexpected viewpoints of various stakeholder groups.
Live system (In Korean)
Class Projects
Bias Explorer
CS489 Computer Ethics and Social Issues, Fall 2019
A web application for investigating the demographic bias of a crowdsourced dataset
Noonchi-Baekdan
CS492 Crowdsourcing & Social Computing, Fall 2017
Web service for asking the hidden meaning of mobile conversations
Live interface (In Korean)
OverWatch
CS584 Human-Computer Interaction, Fall 2017
Notification UI for smartwatches with notification grouping
Cooky
CS374 Introduction to Human-Computer Interaction, Spring 2017
Web interface for distributing cooking steps during collaborative cooking
Maestro
CS408 Computer Science Project, Spring 2017
Smartwatch-based presentation remote
Technovalley
CS496 Entrepreneurship and Immersive Programming Camp, Winter 2016
Browser extension for scrapping web pages & sharing
Yoplait
CS496 Entrepreneurship and Immersive Programming Camp, Winter 2016
Travel planning & itinerary sharing service
Sally
CS496 Entrepreneurship and Immersive Programming Camp, Winter 2016
Diary with sentiment analysis