Player agents for langrid gaming

Akihiro, Yamaguchi; Tsunoda, Keisuke; Hishiyama, Reiko

doi:10.1145/2038476.2038486

Cited by 2 publications

(2 citation statements)

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“…He designed a supporting agent to prevent communication breakdown that may occur in CMC in a multilingual gaming simulation after he revealed their existence. Contrary to this, Yamaguchi [5] developed a solution to improve the accuracy of tagging in multilingual conversation. He also conducted an experiment that involved introducing an artificial agent by using parallel text to an interactive environment in a gaming simulation.…”

Section: Related Workmentioning

confidence: 99%

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

Taishi

Hishiyama

2013

Second International Conference on Future Generation Communication Technologies (FGCT 2013)

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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.

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Section: Related Workmentioning

confidence: 99%

“…One is manual tagging by analyst, another is manual tagging by participants, and the other is automatic tagging. Manual tagging by analyst is very accurate but has large cost about time to assign tags [5]. Manual tagging by participants is also accurate, but it is difficult for participants to get motivated to assign tags [2], [4].…”

Section: Related Workmentioning

confidence: 99%