Welcome to Hyeonggeun's Terminal!
10/17/2023 2:50:25 PM


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Blackwind: Student Research Group of DGIST Supercomputing Center
#other #ongoing

I worked as a member of Server management Team, and a leader of Web project team in Blackwind.


Chatbot with Touch and Graphics: An Interaction of Users for Emotional Expression and Turn-taking
#research #ongoing
  • Hyeonggeun Yun, Auejin Ham, Jin Kim, Taeyeong Kim, Jeongeun Kim, Haechan Lee, Jongrae Park, Jinkyu Jang

    Use of chatbots for emotional exchange is recently increasing in various domains. However, as existing chatbots have been considered in terms of natural language processing techniques for interaction with text-based chatting, there are problems with the flow and the style of the conversation. Consequently, chatbot interaction with users is lacking in terms of considering the emotions of users and managing turn-taking in conversation. We suggest a new interaction technique having touch interactions with graphic interfaces (TwG) to solve these problems. In the proposed system, users send their emotions and manage turn-taking through TwG technique. This project is a part of DGIST UGRP (Undergraduate Group Research Program), and the research is supported by DGIST UGRP Grant.


Harooo Communication
#other #ongoing

I am one of the project leader of Harooo Communication. A representative service is SNS 'Harooo' where writings last 24 hours. Harooo Communication was announced by media, and members of Harooo Communication are supported by NAVER. There are many projects in Harooo Communication.


Support Controlling Vocabulary with English Writing Using NLP-based Interactions
#research #ongoing
  • Kyung Je Jo, Hyeonggeun Yun, Juho Kim

    There are two types of vocabulary knowledge - vocabulary size & vocabulary control. Generally, non-native Speakers are hard to control vocabulary in English writing. Therefore, we studies on how to support controlling vocabulary in English writing. Our basic approach is using NLP-based interactions to teach knowledges of vocabulary control. In current prototype, learners can learn a specific word and write an example sentence using the word. After that, our prototype fixes and paraphrases the sentence using Transformer-based Language Model (Bert, GPT2).


DGIST Tutoring
#other #ongoing

Since 2018, I have been an undergraduate tutor of DGIST. In 2018, I worked as a tutor of General Chemistry I in the first semester and Multivariable Calculus in the second semester. In 2019, I worked as a tutor of Linear Algebra in the first semester and Object-Oriented Programmin in the second semester. Now, I am working as a tutor of Data Structure for this semester. While I have been working as a tutor, I try to fill the gaps which I did not understand when I was a fresher student. Thanks to the efforts, I was selected as a superb tutor in the first semester of 2018, and the second semester of 2019.


Effects of Human-like Appearance and Non-Speech Sound on Psychological Resistance on SmartSpeaker
#research #finished
  • Gyeongbin Park, Hyeonggeun Yun, ChaeYeon Bang, Hyounjung Kang, Jinkyu Jang

    To help language learners achieve fluency, instructors often focus on teaching formulaic sequences (FS)–phrases such as idioms or phrasal verbs that are processed, stored and retrieved holistically. Teaching FS effectively is challenging as it heavily involves instructors’ intuition, prior knowledge, and manualefforts to identify a set of FSs with high utility. We suggest FSIST, a tool that supports instructorsfor video-based instruction of FS. The core idea of FSIST is to utilize videos at scale to build a list of FSs along with videos that include example usages. To evaluate how FSIST can effectively supportinstructors, we conducted a user study with three English instructors. Results show that the browsing interactions provided in FSIST support instructors to efficiently find parts of videos that show example usages of FSs.


Supporting Instruction of Formulaic Sequences Using Videos at Scale
#research #finished
  • Kyung Je Jo, Hyeonggeun Yun, Juho Kim

    To help language learners achieve fluency, instructors often focus on teaching formulaic sequences (FS)–phrases such as idioms or phrasal verbs that are processed, stored and retrieved holistically. Teaching FS effectively is challenging as it heavily involves instructors’ intuition, prior knowledge, and manualefforts to identify a set of FSs with high utility. We suggest FSIST, a tool that supports instructorsfor video-based instruction of FS. The core idea of FSIST is to utilize videos at scale to build a list of FSs along with videos that include example usages. To evaluate how FSIST can effectively supportinstructors, we conducted a user study with three English instructors. Results show that the browsing interactions provided in FSIST support instructors to efficiently find parts of videos that show example usages of FSs.


Self Design Tool for Web
#other #finished

I developed self design tool for web. Users can make and modify their poster, logo, and brand designusing the tool. This is a work from Oasyss Story.


DGIST Student Council
#other #finished

I am working as a leader of Homepage Management Team. Although the name is 'Homepage Management Team', I concentrate on the development of webpage of Student Council. I want to develop the DGIST Community site which undergraduate students can use.