Analysis of self-tagging during conversational chat in multilingual gaming simulation

Taishi Nose; Reiko Hishiyama

doi:10.1109/FGCT.2013.6767188

Analysis of self-tagging during conversational chat in multilingual gaming simulation

Taishi Nose^*, Reiko Hishiyama

^*Corresponding author for this work

School of Creative Science and Engineering

Research output: Contribution to conference › Paper › peer-review

4 Citations (Scopus)

Abstract

A multilingual gaming simulation is suggested as the basis of an experiment by which we discuss complex problems such as global civics or environmental problems. Assigning tags is a very important way to analyze this experiment. However, assigning tags has a cost that is too large for analysts. In this study, we suggest and introduce a method for participants to voluntarily self-tag, focusing on gamification and crowdsourcing. As a result, we verified that it is possible for analysts to reduce the tagging cost when analyzing and to analyze results more accurately.

Original language	English
Pages	81-86
Number of pages	6
DOIs	https://doi.org/10.1109/FGCT.2013.6767188
Publication status	Published - 2013 Jan 1
Event	2nd International Conference on Future Generation Communication Technologies, FGCT 2013 - London, United Kingdom Duration: 2013 Nov 12 → 2013 Nov 14

Conference

Conference	2nd International Conference on Future Generation Communication Technologies, FGCT 2013
Country/Territory	United Kingdom
City	London
Period	13/11/12 → 13/11/14

Keywords

gamification
intercultural collaboration
language grid
machine translation

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/FGCT.2013.6767188

Cite this

@conference{93a7f1675a9249b6b08daa0af76ceae8,

title = "Analysis of self-tagging during conversational chat in multilingual gaming simulation",

abstract = "A multilingual gaming simulation is suggested as the basis of an experiment by which we discuss complex problems such as global civics or environmental problems. Assigning tags is a very important way to analyze this experiment. However, assigning tags has a cost that is too large for analysts. In this study, we suggest and introduce a method for participants to voluntarily self-tag, focusing on gamification and crowdsourcing. As a result, we verified that it is possible for analysts to reduce the tagging cost when analyzing and to analyze results more accurately.",

keywords = "gamification, intercultural collaboration, language grid, machine translation",

author = "Taishi Nose and Reiko Hishiyama",

year = "2013",

month = jan,

day = "1",

doi = "10.1109/FGCT.2013.6767188",

language = "English",

pages = "81--86",

note = "2nd International Conference on Future Generation Communication Technologies, FGCT 2013 ; Conference date: 12-11-2013 Through 14-11-2013",

}

TY - CONF

T1 - Analysis of self-tagging during conversational chat in multilingual gaming simulation

AU - Nose, Taishi

AU - Hishiyama, Reiko

PY - 2013/1/1

Y1 - 2013/1/1

N2 - A multilingual gaming simulation is suggested as the basis of an experiment by which we discuss complex problems such as global civics or environmental problems. Assigning tags is a very important way to analyze this experiment. However, assigning tags has a cost that is too large for analysts. In this study, we suggest and introduce a method for participants to voluntarily self-tag, focusing on gamification and crowdsourcing. As a result, we verified that it is possible for analysts to reduce the tagging cost when analyzing and to analyze results more accurately.

AB - A multilingual gaming simulation is suggested as the basis of an experiment by which we discuss complex problems such as global civics or environmental problems. Assigning tags is a very important way to analyze this experiment. However, assigning tags has a cost that is too large for analysts. In this study, we suggest and introduce a method for participants to voluntarily self-tag, focusing on gamification and crowdsourcing. As a result, we verified that it is possible for analysts to reduce the tagging cost when analyzing and to analyze results more accurately.

KW - gamification

KW - intercultural collaboration

KW - language grid

KW - machine translation

UR - http://www.scopus.com/inward/record.url?scp=84899004939&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899004939&partnerID=8YFLogxK

U2 - 10.1109/FGCT.2013.6767188

DO - 10.1109/FGCT.2013.6767188

M3 - Paper

AN - SCOPUS:84899004939

SP - 81

EP - 86

T2 - 2nd International Conference on Future Generation Communication Technologies, FGCT 2013

Y2 - 12 November 2013 through 14 November 2013

ER -

Analysis of self-tagging during conversational chat in multilingual gaming simulation

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this