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Conversation Envisioning to Train Inter-cultural Interactions

  • Maryam Sadat Mirzaei
  • Qiang Zhang
  • Toyoaki Nishida
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10914)

Abstract

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.

Keywords

Virtual reality Graphic recording Conversation envisioning Inter-cultural interactions 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Human-AI Communication GroupRIKEN AIPTokyoJapan
  2. 2.Graduate School of InformaticsKyoto UniversityKyotoJapan

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