EDBT 2026 Demo / reviewers in the wild / expert
Kota Kunori
dblp:396/5544
· DBLP profile ↗
7ranked-venue papers
4as first author
7since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 7 · 4 first-author · 7 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Quality Criteria Acquisition Support System of Product by Explaining It with ComponentsabstractIn creative activity, creators evaluate products whether they satisfy the criteria. Some criteria such as criteria of novelty are implicit and intuitive, so that it is difficult for novice creators to understand them. Since some criteria can be regarded as the existence of particular components, we can define the implicit criteria as the existence of components that the target product has. We propose a method for understanding implicit criteria by explaining it using existing components of the target product and construct system that supports proposed activity. Based on the evaluation experiment, it is found that proposed system can support enough explanation of criteria. Kota Kunori, Tomoko Kojiri |
ICCE | 1 |
| 2024 | Question Generation Support System Using Others' Research FramesabstractAnswering questions about our own research helps to clarify our arguments and advance our investigation. To generate questions about one's own research, we must view the research from different perspectives. In this study, we propose a method to view research from an outside perspective. The perspectives of others are reflected in the papers they have written; therefore, we constructed a system that supports researchers in extracting the research elements of other researchers' papers that are not considered in their own research and in capturing those elements in their own research. Daiki Maeda, Kota Kunori, Tomoko Kojiri |
ICCE | 2 |
| 2024 | Narrative Introduction Text Generation Support System According to Reader PreferencesabstractIn order to accomplish learning through extensive reading, readers need to be interested in the narrative. To entice readers to read a narrative, it is necessary to have an attractive and engaging introduction. However, this can be difficult, as reader preferences vary. An attractive introduction should provide "empathy" and "unexpectedness." To support creating such an introduction, this study proposes a method for extracting common and different narrative elements according to the reader's preferred category. This study also proposes a system that supports the extraction of such common and different narrative elements by considering typical elements of the identified category. Ryusei Shimonaka, Kota Kunori, Tomoko Kojiri |
ICCE | 2 |
| 2023 | Activity Analysis Support System by Causal Relation Check Between Sub-activities
Kota Kunori, Tomoko Kojiri |
ICCE | 1 |
| 2023 | Object Identification Training Support System for Object-Oriented Design with Cooking Recipes
Kota Kunori, Tomoko Kojiri |
ICCE | 1 |
| 2022 | Support System for Understanding How Teammates Grasp Game Situations
Kazuteru Sakamoto, Kota Kunori, Tomoko Kojiri |
ICCE | 2 |
| 2021 | Viewpoint Transformation Training System Based on Discovery of Relationships between Objects
Kota Kunori, Tomoko Kojiri |
ICCE | 1 |