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Yuka Nakagawa

dblp:89/7939 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none

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

Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous computing · 1

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
Wearable and physiological sensing · 77% Design research and methods · 23%

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

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing
facial expression sensing		 0.112010
From cartoons to robots: facial regions as cues to recognize emotions · HRI 2010
Design research and methods › research methodology
cross-cultural study		 0.012010
From cartoons to robots: facial regions as cues to recognize emotions · HRI 2010

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

survey · 0.1
YearPublicationVenuePosition
2010 From cartoons to robots: facial regions as cues to recognize emotions
abstract
This paper introduces a preliminary result of a cross-cultural study on the facial regions as cues to recognize virtual agents' facial expressions. We believe providing research results on the perception of cartoonish virtual agents' facial expressions to HRI research community is meaningful in order to minimize the effort to develop robot's facial expressions. The result implies 1) the mouth region is more effective in conveying the emotions of the facial expressions than the eye region, 2) there are cultural differences in using facial regions as cues to recognize cartoonish facial expressions between Hungary and Japan.
Tomoko Koda, Yuka Nakagawa, Kyota Tabuchi, Zsófia Ruttkay
 HRI2