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Dongik Oh

dblp:22/6679 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0003-2940-3110ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 77% Human-AI interaction · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies
self-regulated learning
1.012026
GPTalk: LLM-based virtual companions for metacognitive growth in self-regulated e-learning · Int. J. Hum. Comput. Stud. 2026
Human-AI interaction
large language model interaction
0.312026
GPTalk: LLM-based virtual companions for metacognitive growth in self-regulated e-learning · Int. J. Hum. Comput. Stud. 2026

Methods — techniques the papers use, named apart from their topics

large language model · 1.0
YearPublicationVenuePosition
2026 GPTalk: LLM-based virtual companions for metacognitive growth in self-regulated e-learning
abstract
Although students need to self-monitor and manage their learning process for effective metacognition, it can be particularly challenging in solitary e-learning environments that rely on pre-recorded videos. Unlike interactive e-learning or physical classrooms, typical e-learning environments prevent students from interacting with their teachers and peers, thereby hindering metacognitive support. To address this challenge, we introduce GPTalk, a system designed to support students’ learning experiences by facilitating interactions with LLM-based virtual companions. Through interviews with students and teachers, we identified design recommendations and implemented them in GPTalk. A user study involving 32 high-school students demonstrated that, compared to a baseline system, GPTalk fostered richer metacognitive engagement and self-regulated learning processes during video-based study (e.g., more monitoring questions and in-situ reflections), while short-term content understanding accuracy remained comparable across conditions. Overall, our findings suggest that students’ interactions with a virtual teacher and peer can support key aspects of their metacognition and self-regulated e-learning processes.
In-Taek Jung, ChungHa Lee, In-Chang Baek, Dongik Oh, Youjin Choi, Kyung-Joong Kim 0001, Duk-Jo Kong, Jin-Hyuk Hong
Int. J. Hum. Comput. Stud.4
2006 A Study on the Development of Ubiquitous CellPhone Robot
abstract
In this video clip, the development of ubiquitous CPR(Cellular Phone Robot), which adds personal robotic features such as mobility and emotion to CP(Cellular Phone), is presented. We described a prototype implementation of CPR and demonstrated its successful navigational ability. CPR movement are controlled by the data acquired from velocity sensors and the coordinates from RFID tags on the floor. Emotion modules of the CPR Interaction system stimulate human touch-sense through vibrations, olfactory-sense through perfumes, and visual-sense through motion patterns. Biometric signals of human can be effectively measured with ECG and EDR. Experimental results show these easy-to-mount on CPR Equipments are sufficient for generating reliable signal measurements. People will rely more and more on robotic assistants in the near future. Personal robots will lead the way to the new era. CPR provides a stepping stone.
Seungwoo Kim, Dongik Oh, Yongrae Jung, Jacil Choe, Jungwook Choi
IROS2
2003 An affiliated search system for an electronic commerce and software component architecture
Incheon Paik, Tongwon Han, Dongik Oh, Sangho Ha, Donggue Park
Inf. Softw. Technol.3