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Rieko Inaba

dblp:70/6687 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0001-9004-3132ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 3Applied, interdisciplinary, general and emerging computing · 2

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
3 papers
Collaborative and social computing · 100%
Artificial intelligence
1 paper
Machine translation · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing
computer-supported cooperative work
0.222011
Intercultural collaboration with the language grid toolbox · CSCW 2011
Analyzing patterns in composing teaching materials from the web · CSCW 2011
Collaborative and social computing
collaborative learning
0.112011
Analyzing patterns in composing teaching materials from the web · CSCW 2011
Collaborative and social computing › team collaboration
cross-cultural collaboration
0.112011
Intercultural collaboration with the language grid toolbox · CSCW 2011
Collaborative and social computing › interpersonal communication
common ground
0.112009
Difficulties in establishing common ground in multiparty groups using machine translation · CHI 2009
Collaborative and social computing
computer-mediated communication
0.112009
Difficulties in establishing common ground in multiparty groups using machine translation · CHI 2009
Collaborative and social computing › team collaboration › multilingual collaboration
machine translation-mediated communication
0.112009
Difficulties in establishing common ground in multiparty groups using machine translation · CHI 2009
Collaborative and social computing › computer-supported cooperative work
multiparty collaboration
0.112009
Difficulties in establishing common ground in multiparty groups using machine translation · CHI 2009

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

system demonstration · 0.2web service technology · 0.1referential communication experiment · 0.1
YearPublicationVenuePosition
2018 Difference of university's ICT introduction effects by university scale and presence of technical or educational support system
Yasuhiko Tsuji, Mieko Takahira, Rieko Inaba, Mana Taguchi
ICCE3
2017 A Secular Trend Analysis of the Effects of Using ICT in University Education
Yasuhiko Tsuji, Rieko Inaba, Mieko Takahira, Mana Taguchi
ICCE2
2011 Analyzing patterns in composing teaching materials from the web
abstract
We present the research and work carried out towards analyzing patterns in creating teaching materials from the Web and how this leads to the model of the multilingual learning resource system using Web service technologies for today's educators, to efficiently share, reuse and translate existing teaching materials into minority languages and make new ones.
Nadia Bouz-Asal, Rieko Inaba, Toru Ishida 0001
CSCW2
2011 Intercultural collaboration with the language grid toolbox
abstract
In this demonstration video, we introduce the Language Grid Toolbox, an open source multilingual communication tool, and two community sites based on the Language Grid Toolbox. The G30 Community Site aims to create a multilingual and multicultural community to accommodate the needs of Japanese and international students. The Pangaea Community Site is used by facilitators of NPO Pangaea located in different countries around the world to communicate in their native languages through machine translation supported multilingual BBS.
Ari Hautasaari, Nadia Bouz-Asal, Rieko Inaba, Toru Ishida 0001
CSCW3
2009 Difficulties in establishing common ground in multiparty groups using machine translation
abstract
When people communicate in their native languages using machine translation, they face various problems in constructing common ground. This study investigates the difficulties of constructing common ground when multiparty groups (consisting of more than two language communities) communicate using machine translation. We compose triads whose members come from three different language communities--China, Korea, and Japan--and compare their referential communication under two conditions: in their shared second language (English) and in their native languages using machine translation. Consequently, our study suggests the importance of not only grounding between speaker and addressee but also grounding between addressees in constructing effective machine-translation-mediated communication. Furthermore, to successfully build common ground between addressees, it seems important for them to be able to monitor what is going on between a speaker and other addressees.
Naomi Yamashita, Rieko Inaba, Hideaki Kuzuoka, Toru Ishida 0001
CHI2