EDBT 2026 Demo / reviewers in the wild / expert
Nakyung Kim
dblp:220/8824
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0009-0162-8936ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 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 |
Human-AI interaction · 50% Usability and user experience research · 50% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › interactive information retrieval
exploratory search |
1.0 | 1 | 2026 | Exploratory search with generative AI: An empirical study on the impact of interaction design strategies on information exploration and cognitive load · Int. J. Hum. Comput. Stud. 2026 |
Usability and user experience research
cognitive load |
1.0 | 1 | 2026 | Exploratory search with generative AI: An empirical study on the impact of interaction design strategies on information exploration and cognitive load · Int. J. Hum. Comput. Stud. 2026 |
Human-AI interaction › generative AI
generative AI interaction |
1.0 | 1 | 2026 | Exploratory search with generative AI: An empirical study on the impact of interaction design strategies on information exploration and cognitive load · Int. J. Hum. Comput. Stud. 2026 |
Methods — techniques the papers use, named apart from their topics
empirical study · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Exploratory search with generative AI: An empirical study on the impact of interaction design strategies on information exploration and cognitive load
Nakyung Kim, Yong Gu Ji |
Int. J. Hum. Comput. Stud. | 1 |
| 2025 | Mitigating Interruptions in Digital Reading: Strategic Pauses and Note-Taking for Enhanced Cognitive PerformanceabstractThis study investigates how structured interventions—specifically pausing at natural breakpoints and guided note-taking—affect cognitive performance, memory retention, and task continuity in digital reading. We introduce SmartPause , a context-aware bookmarking system that nudges users to pause at meaningful points and externalise insights through lightweight notes. In a controlled experiment (N = 51), participants were assigned to one of three conditions: (1) interruption at an arbitrary point, (2) guided pause at a natural breakpoint, or (3) guided pause with note-taking. Results reveal that guided pauses, particularly when combined with note-taking, significantly enhance long-term memory retention while having no measurable impact on perceived cognitive load or selective attention. These findings highlight the potential of digital tools to support cognitive load management and task continuity by structuring interruptions in alignment with natural cognitive rhythms. The high usability rating of SmartPause underscores its practical applicability across e-reading platforms. This study contributes to human-computer interaction (HCI) by integrating principles from cognitive science into design solutions that enhance comprehension and information retention. Future research should explore personalised interventions, extended retention intervals, and real-world deployment to further optimise cognitive load in digital reading contexts. Naile Hacioglu, Maria Chiara Leva, Nakyung Kim, Hyowon Lee 0001 |
INTERACT (2) | 3 |