Demo Data from SIGIR 2026 / reviewers in the wild / expert
Naoto Nakazato
dblp:141/4085
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-author
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 · 38% Design research and methods · 38% Collaborative and social computing · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction
affective computing |
0.2 | 1 | 2014 | Smart Face: enhancing creativity during video conferences using real-time facial deformation · CSCW 2014 |
Design research and methods › creativity support
creativity enhancement |
0.2 | 1 | 2014 | Smart Face: enhancing creativity during video conferences using real-time facial deformation · CSCW 2014 |
Collaborative and social computing
computer-supported cooperative work |
0.1 | 1 | 2014 | Smart Face: enhancing creativity during video conferences using real-time facial deformation · CSCW 2014 |
Collaborative and social computing
video conferencing |
0.1 | 1 | 2014 | Smart Face: enhancing creativity during video conferences using real-time facial deformation · CSCW 2014 |
Methods — techniques the papers use, named apart from their topics
user study · 0.2facial deformation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Smart Face: enhancing creativity during video conferences using real-time facial deformationabstractThis study develops a method for improving creativity by changing the facial appearance of people during video conferences. We focus on enhancing creativity during human interactions, especially cooperative work situations such as video conferences. Psychological studies have revealed that the facial appearance of people can affect creativity, i.e., "emotion can affect creativity" and "the appearance of others can affect the emotions." Based on the knowledge, we hypothesized that the media technology which modifies the facial appearance of people appropriately can enhance our creativity during cooperative work. Therefore, we develop a method to affect creativity by changing the facial appearance in real-time, such as facial expressions and facial resemblance. We test the effectiveness of this method by building a system for collaborative video conferences. The user study show that the proposed method could enhance creativity. Naoto Nakazato, Shigeo Yoshida, Sho Sakurai, Takuji Narumi, Tomohiro Tanikawa, Michitaka Hirose |
CSCW | 1 |