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Naoto Nakazato

dblp:141/4085 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Human-AI interaction
affective computing
0.212014
Smart Face: enhancing creativity during video conferences using real-time facial deformation · CSCW 2014
Design research and methods › creativity support
creativity enhancement
0.212014
Smart Face: enhancing creativity during video conferences using real-time facial deformation · CSCW 2014
Collaborative and social computing
computer-supported cooperative work
0.112014
Smart Face: enhancing creativity during video conferences using real-time facial deformation · CSCW 2014
Collaborative and social computing
video conferencing
0.112014
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
YearPublicationVenuePosition
2014 Smart Face: enhancing creativity during video conferences using real-time facial deformation
abstract
This 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
CSCW1