YEA-SEUL KIM

I'm a PhD student in the Information School at University of Washington, advised by Jessica Hullman. My research interests lie in the intersection between HCI, Visualization and Data Science. I'm interested in developing both algorithms and interfaces that make data more accessible to help people of varying levels of expertise better understand data.

CHI 2017
Explaining the Gap: Visualizing One’s Predictions Improves Recall and Comprehension of Data
Yea-Seul Kim, Katharina Reinecke, Jessica Hullman
Information visualizations use interactivity to enable userdriven querying of visualized data. However, users’ interactions with their internal representations, including their expectations about data, are also critical for a visualization to support learning. We present multiple graphically-based techniques for eliciting and incorporating a user’s prior knowledge about data into visualization interaction. Read More We use controlled experiments to evaluate how graphically eliciting forms of prior knowledge and presenting feedback on the gap between prior knowledge and the observed data impacts a user’s ability to recall and understand the data. We find that participants who are prompted to reflect on their prior knowledge by predicting and self-explaining data outperform a control group in recall and comprehension. These effects persist when participants have moderate or little prior knowledge on the datasets. We discuss how the effects differ based on text versus visual presentations of data. We characterize the design space of graphical prediction and feedback techniques and describe design recommendations. Read Less
EMNLP 2016
SimpleScience: Lexical Simplification of Scientific Terminology
Yea-Seul Kim, Jessica Hullman, Matthew Burgess, Eytan Adar
Lexical simplification of scientific terms represents a unique challenge due to the lack of a standard parallel corpora and fast rate at which vocabulary shift along with research. We introduce SimpleScience, a lexical simplification approach for scientific terminology. Read More We use word embeddings to extract simplification rules from a parallel corpora containing scientific publications and Wikipedia. To evaluate our system we construct SimpleSciGold, a novel gold standard set for science-related simplifications. We find that our approach outperforms prior context-aware approaches at generating simplifications for scientific terms. Read Less
CHI 2016
Generating Personalized Spatial Analogies for Distances and Areas
Yea-Seul Kim, Jessica Hullman, Maneesh Agrawala
Distances and areas frequently appear in text articles. However, people struggle to understand these measurements when they cannot relate them to measurements of locations that they are personally familiar with. We contribute tools for generating personalized spatial analogies: re-expressions that contextualize spatial measurements in terms of locations with similar measurements that are more familiar to the user. Read More Our automated approach takes a user's location and generates a personalized spatial analogy for a target distance or area using landmarks. We present an interactive application that tags distances, areas, and locations in a text article and presents personalized spatial analogies using interactive maps. We find that users who view a personalized spatial analogy map generated by our system rate the helpfulness of the information for understanding a distance or area 1.9 points higher (on a 7 pt scale) than when they see the article with no spatial analogy and 0.7 points higher than when they see generic spatial analogy. Read Less
ISMIR 2016
  Collaborated as a statistician
A look at the cloud from both sides now: an analysis of cloud music service usage
Jin Ha Lee, Yea-Seul Kim, Chris Hubbles
Despite the increasing popularity of cloud-based music services, few studies have examined how users select and utilize these services, how they manage and access their music collections in the cloud, and the issues or challenges they are facing within these services. Read More In this paper, we present findings from an online survey with 198 responses collected from users of commercial cloud music services, exploring their selection criteria, use patterns, perceived limitations, and future predictions. We also investigate differences in these aspects by age and gender. Our results elucidate previously under-studied changes in music consumption, music listening behaviors, and music technology adoption. The findings also provide insights into how to improve the future design of cloud-based music services, and have broader implications for any cloudbased services designed for managing and accessing personal media collections. Read Less
ISMIR 2016
  Collaborated as a statistician
Elucidating user behavior in music services through persona and gender
John Fuller, Lauren Hubener, Yea-Seul Kim, Jin Ha Lee
Prior user studies in the music information retrieval field have identified different personas representing the needs, goals, and characteristics of specific user groups for a usercentered design of music services. However, these personas were derived from a qualitative study involving a small number of participants and their generalizability has not been tested. Read More The objectives of this study are to explore the applicability of seven user personas, developed in prior research, with a larger group of users and to identify the correlation between personas and the use of different types of music services. In total, 962 individuals were surveyed in order to understand their behaviors and preferences when interacting with music streaming services. Using a stratified sampling framework, key characteristics of each persona were extracted to classify users into specific persona groups. Responses were also analyzed in relation to gender, which yielded significant differences. Our findings support the development of more targeted approaches in music services rather than a universal service model. Read Less
C+J 2015
DeScipher: A Text Simplification Tool for Science Journalism
Yea-Seul Kim, Jessica Hullman, Eytan Adar
Complex jargon often makes scientific work less accessible to the general public. By employing a set of specific reporting strategies, journalists bridge these groups by delivering information about scientific advances in a readable, engaging way. One such strategy is using simpler terms in place of complex jargon. To assist in this process, we introduce DeScipher, a text editor application that suggests and ranks possible simplifications of complex terminology to a journalist while she is authoring an article. Read More DeScipher applies simplification rules derived from a large collection of scientific abstracts and associated author summaries, and accounts for textual context in making suggestions to the journalist. In evaluating our system, we show that DeScipher is a viable application for producing useful simplifications of scientific and other terms by comparing to prior techniques used on other corpora. We also propose concrete opportunities for future development of “journalist-in-the-loop” tools for aiding journalists in enacting science reporting strategies. Read Less
InfoVis 2015 Workshop
Expectation Visualization: Opportunities for Personalized Feedback
Yea-Seul Kim, Jessica Hullman
We define and motivate Expectation Visualization, an interactive technique for soliciting, and presenting personalized feedback on, a user’s expectation of the data. Expectation Visualization (EV) addresses the common challenge faced by designers of how to engage users with visualized data on a deeper level. Read More We describe the design space of EV, including how it can be used for data encoded in marks and mark attributes, and describing forms of training and personalized feedback. We propose three specific applications where the benefits of EV may be particularly useful. We conclude with ideas for future research. Read Less
CHI 2015
VIZMO Game Browser: Accessing Video Games by Visual Style and Mood
Jin-Ha Lee, Sungsoo Hong, Hyerim Cho, Yea-Seul Kim
Despite the growing interests in video games as consumer products as well as objects of research, current methods for accessing video games are limited. We present Vizmo as a new way of browsing video games based on their visual style and mood. Read More In order to test the usability and usefulness of Vizmo, we asked 19 video game experts to evaluate their interaction with the tool. The results show that experts perceived Vizmo as a novel and aesthetically pleasing game discovery tool which would be most useful for game research on historical and aesthetic aspects. We discuss five key points for improving the design of Vizmo as well as our future plan for the next iteration of this prototype game browser. Read Less
CHI 2014
Traffigram: distortion for clarification via isochronal cartography
Sungsoo Hong, Yea-Seul Kim, Jong-Chul Yoon, Cecilia R. Aragon
Most geographic maps visually represent physical distance; however, travel time can in some cases be more important than distance because it directly indicates availability. The technique of creating maps from temporal data is known as isochronal cartography, and is a form of distortion for clarification. Read More In an isochronal map, congestion expands areas, while ideal travel conditions make the map shrink in comparison to the actual distance scale of a traditional map. Although there have been many applications of this technique, detailed user studies of its efficacy remain scarce, and there are conflicting views on its practical value. To attempt to settle this issue, we utilized a usercentered design process to determine which features of isochronal cartography might be most usable in practice. We developed an interactive cartographic visualization system, Traffigram, that features a novel combination of efficient isochronal map algorithms and an interface designed to give map users a quick and seamless experience while preserving geospatial integrity and aesthetics. We validated our design choices with multiple usability studies. We present our results and discuss implications for design. Read Less