Conversation is an integral part of human’s relationship, which involves a large amount of tacit information to be uncovered. In this paper, we introduce the idea of conversation envisioning to disclose the tacit information beneath our conversation. We employ virtual reality for graphic recording (VRGR) to allow both observers and participants to visualize their thoughts in the conversation and to provide a training tool to acquire inter-cultural interactions using situated conversations. We focus on a bargaining scenario to highlight the tacitness of our conversations and use VRGR to make an in-depth analysis of the scenario. The proposed framework allows for performing a detailed analysis of the conversation and collecting different interpretations to provide timely assistance for realizing smoother cross-cultural conversations.
CITATION STYLE
Mirzaei, M. S., Zhang, Q., & Nishida, T. (2018). Conversation envisioning to train inter-cultural interactions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10914 LNCS, pp. 68–80). Springer Verlag. https://doi.org/10.1007/978-3-319-91485-5_5
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