Effects of alternation latency on the impression of avatars in face-to-face customer training VR

• Shiozaki Keisuke

  Graduate School of Information Science and Technology, The University of Tokyo

• Oyanagi Akimi

  Virtual Reality Educational Research Center, The University

• Aoyama Kazuma

  Virtual Reality Educational Research Center, The University

• Narumi Takuji

  Graduate School of Information Science and Technology, The University of Tokyo

• Tanikawa Tomohiro

  Next Generation Artificial Intelligence Research Center, The University of Tokyo

• Kuzuoka Hideaki

  Graduate School of Information Science and Technology, The University of Tokyo

• Hirose Michitaka

  Research Center for Advanced Science and Technology, The University of Tokyo

Bibliographic Information

Other Title

• 対面接客訓練VRにおける交替潜時がアバタの印象に及ぼす影響

Abstract

Due to the decrease in the labor force in the service industry, many face-toface customer service training simulators using virtual reality (VR) have been developed. The training simulator involves a dialogue with VR avatars, and it is necessary to give a sense of reality to the dialogue in order to perform training efficiently. In this study, we focused on the impression of avatars as an element that gives a sense of reality, and tried to manipulate the impression by changing the alternation latency of the avatar. An experiment was conducted in which the phrases expressing the impression of avatars were applied to various conditions with different avatar alternation latency, and significant differences were found in some items. This result suggests that the impression can be changed by changing the alternation latency of the avatar, and the reality of the dialogue can be improved.

Journal

• Transactions of the Virtual Reality Society of Japan

  Transactions of the Virtual Reality Society of Japan 26 (3), 169-176, 2021-09-30

  THE VIRTUAL REALITY SOCIETY OF JAPAN

Keywords

• Training Simulator
• Turn Taking
• Alternation Latency
• Impression

Details

• CRID: 1390852503355119872
• NII Article ID: 130008094817
• DOI: 10.18974/tvrsj.26.3_169
• ISSN: 24239593
• ISSN: 1344011X
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed