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Juhoe Kim

Korea Advanced Institute of Science and Technology · 情報科学

研究室紹介

Professor Juhoe Kim's research lab focuses on enhancing learning and decision-making in digital environments through data-driven design. The lab explores educational technology, particularly the analysis of video engagement patterns in online learning platforms like MOOCs and YouTube, to inform the development of intelligent video navigation and interaction techniques. It also investigates the design of interactive systems that support public engagement with complex information, such as government budgets, by integrating open data and news. A recurring theme is leveraging user interaction data to create more intuitive, transparent, and effective digital tools for education and civic participation.

educational video analyticsinteractive learning systemsdata-driven interface designpublic engagement with data

Research Overview

Papers
344
Total Citations
5,906
Papers (5y)
135
Primary Field
情報科学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
135total
2022
2023
2024
2025
2026
Citations per year (5y)
1,185total
20222023202420252026

Selected Papers

15
1
Article|367 citations·2014
Understanding in-video dropouts and interaction peaks inonline lecture videos
Juho Kim, Philip J. Guo, Daniel Seaton, Piotr Mitros, Krzysztof Z. Gajos, Robert C. Miller
OA

With thousands of learners watching the same online lecture videos, analyzing video watching patterns provides a unique opportunity to understand how students learn with videos. This paper reports a large-scale analysis of in-video dropout and peaks in viewership and student activity, using second-by-second user interaction data from 862 videos in four Massive Open Online Courses (MOOCs) on edX. We find higher dropout rates in longer videos, re-watching sessions (vs first-time), and tutorials (v

Computer Science ApplicationsComputer Science
2
Article|167 citations·2014
Data-driven interaction techniques for improving navigation of educational videos
Juho Kim, Philip J. Guo, Carrie J. Cai, Shang-Wen Li, Krzysztof Z. Gajos, Robert C. Miller

With an unprecedented scale of learners watching educational videos on online platforms such as MOOCs and YouTube, there is an opportunity to incorporate data generated from their interactions into the design of novel video interaction techniques. Interaction data has the potential to help not only instructors to improve their videos, but also to enrich the learning experience of educational video watchers. This paper explores the design space of data-driven interaction techniques for educationa

Computer Vision and Pattern RecognitionComputer Science
3
Article|126 citations·2014
Crowdsourcing step-by-step information extraction to enhance existing how-to videos
Juho Kim, Phu Tran Nguyen, Sarah Weir, Philip J. Guo, Robert C. Miller, Krzysztof Z. Gajos

Millions of learners today use how-to videos to master new skills in a variety of domains. But browsing such videos is often tedious and inefficient because video player interfaces are not optimized for the unique step-by-step structure of such videos. This research aims to improve the learning experience of existing how-to videos with step-by-step annotations.

Computer Science ApplicationsComputer Science
4
Article|66 citations·2012
A Security-Performance-Balanced User Authentication Scheme for Wireless Sensor Networks
Sang Guun Yoo, Keun Young Park, Juho Kim
SJR Q2International Journal of Distributed Sensor NetworksOA

The uses of wireless sensor networks have increased to be applicable in many different areas, such as military applications, ecology, and health applications. These applications often include the management of confidential information, making the issue of security one of the most important aspects to consider. In this aspect, a user authentication mechanism that allows only legitimate users to access the network data becomes critical for maintaining the confidentiality and integrity of the netwo

Information SystemsComputer Science
5
Preprint|39 citations·2013
Cobi
Juho Kim, Haoqi Zhang, Paúl André, Lydia B. Chilton, Wendy E. Mackay, Michel Beaudouin-Lafon, Robert C. Miller, Steven P. Dow
OA

Effectively planning a large multi-track conference requires an understanding of the preferences and constraints of organizers, authors, and attendees. Traditionally, the onus of scheduling the program falls on a few dedicated organizers. Resolving conflicts becomes difficult due to the size and complexity of the schedule and the lack of insight into community members' needs and desires. Cobi presents an alternative approach to conference scheduling that engages the entire community in the plann

Information SystemsComputer Science
6
Article|28 citations·2015
Factful
Juho Kim, Eun-Young Ko, Jonghyuk Jung, Chang Won Lee, Nam Wook Kim, Jihee Kim

While a government budget determines how taxpayers' money is allocated to various programs and stakeholders that compete for limited resources, the extensiveness and complexity of the budget and its process hinder taxpayers from understanding the budget information and participating in the public discussion. To engage taxpayers in the public discussion around budgetary issues, we leverage news articles containing budgetary information for design opportunities. We present Factful, a web-based ann

Political Science and International RelationsSocial Sciences
7
Article|27 citations·2010
JTAG Security System Based on Credentials
Keun‐Young Park, Sang Guun Yoo, Tae‐Jun Kim, Juho Kim
SJR Q3Journal of Electronic Testing
Artificial IntelligenceComputer Science
8
Article|19 citations·2013
Learnersourcing subgoal labeling to support learning from how-to videos
Juho Kim, Robert C. Miller, Krzysztof Z. Gajos

Subgoal labeling [1] is a technique known to support learning new knowledge by clustering a group of steps into a higher-level conceptual unit. It has been shown to improve learning by helping learners to form the right mental model. While many learners view video tutorials nowadays, subgoal labels are often not available unless manually provided at production time. This work addresses the challenge of collecting and presenting subgoal labels to a large number of video tutorials. We introduce a

Computer Vision and Pattern RecognitionComputer Science
9
Article|16 citations·2013
Toolscape
Juho Kim

Video tutorials on the web have gained popularity in various domains, but most video repositories are not designed to support the unique content and structure of how-to videos. Learners face difficulty in finding relevant videos and applying the skills embedded in a video clip. We introduce ToolScape, a video browsing interface with a storyboard summarization and an interactive timeline. It allows learners to quickly scan, filter, and review multiple videos without having to play them. Learners

Experimental and Cognitive PsychologyPsychology
10
Article|14 citations·2011
DDoS avoidance strategy for service availability
Seung-hoon Kang, Keun‐Young Park, Sang Guun Yoo, Juho Kim
SJR Q1Cluster Computing
Computer Networks and CommunicationsComputer Science
11
Article|14 citations·2014
Content-aware kinetic scrolling for supporting web page navigation
Juho Kim, Amy X. Zhang, Jihee Kim, Robert C. Miller, Krzysztof Z. Gajos

Long documents are abundant on the web today, and are accessed in increasing numbers from touchscreen devices such as mobile phones and tablets. Navigating long documents with small screens can be challenging both physically and cognitively because they compel the user to scroll a great deal and to mentally filter for important content. To support navigation of long documents on touchscreen devices, we introduce content-aware kinetic scrolling, a novel scrolling technique that dynamically applie

Human-Computer InteractionComputer Science
12
Article|8 citations·2011
SERA: a secure energy reliability aware data gathering for sensor networks
Sang Guun Yoo, Seung-hoon Kang, Juho Kim
SJR Q1Multimedia Tools and Applications
Computer Networks and CommunicationsComputer Science
13
Article|7 citations·2018
Teaching Syntax by Adversarial Distraction
Juho Kim, Christopher Malon, Asim Kadav
OA

Existing entailment datasets mainly pose problems which can be answered without attention to grammar or word order. Learning syntax requires comparing examples where different grammar and word order change the desired classification. We introduce several datasets based on synthetic transformations of natural entailment examples in SNLI or FEVER, to teach aspects of grammar and word order. We show that without retraining, popular entailment models are unaware that these syntactic differences chan

Artificial IntelligenceComputer Science
14
Article|6 citations·2013
Cobi: Community-Informed Conference Scheduling
Juho Kim, Haoqi Zhang, Paúl André, Lydia B. Chilton, Anant Bhardwaj, David R. Karger, Steven P. Dow, Robert C. Miller
Proceedings of the AAAI Conference on Human Computation and CrowdsourcingOA

Creating a schedule for a large multi-track conference requires considering the preferences and constraints of organizers, authors, and attendees. Traditionally, a few dedicated organizers manage the size and complexity of the schedule with limited information and coverage. Cobi presents an alternative approach to conference scheduling by engaging the entire community to take active roles in the planning process. It consists of a collection of crowdsourcing applications that elicit preferences a

Information SystemsComputer Science
15
Article|5 citations·2015
Low-salinity-induced surface sound channel in the western sea of Jeju Island during summer
Juho Kim, Hansoo Kim, Dong‐Guk Paeng, Tae‐Hoon Bok, Jongkil Lee
SJR Q1The Journal of the Acoustical Society of America

Surface salinity in the western sea of Jeju Island in Korea becomes low due to the inflow of the Chinese coastal waters during summer. One of the characteristics of low salinity water is the formation of a surface sound channel (SSC) due to the decrease in sound speed by salinity. However, a quantitative analysis between low salinity water and SSC has not been fully investigated yet. In this paper, a temperature-salinity (T-S) gradient diagram is introduced in order to assess SSC formation and i

OceanographyEarth and Planetary Sciences

Research Areas

Artificial IntelligenceComputer Science ApplicationsComputer Vision and Pattern RecognitionInformation SystemsSociology and Political ScienceHuman-Computer Interaction

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