A Comparison of Human and Machine-Generated Voice

被引：15

作者：

Abdulrahman, Amal ^{[1
]}

Richards, Deborah ^{[1
]}

Bilgin, Ayse Aysin ^{[2
]}

机构：

[1] Macquarie Univ, Dept Comp, Sydney, NSW, Australia

[2] Macquarie Univ, Dept Math & Stat, Sydney, NSW, Australia

来源：

25TH ACM SYMPOSIUM ON VIRTUAL REALITY SOFTWARE AND TECHNOLOGY (VRST 2019) | 2019年

关键词：

Virtual human; Voice; Text-to-Speech; Co-presence; trust; working alliance;

D O I：

10.1145/3359996.3364754

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study investigates the influence of a virtual human (VH) with recorded human voice vs VH with a machine-generated voice (text-to-speech) on building trust and working alliance. We measured the co-presence perception to understand the impact of VH's perception on building the human-VH relationship. The results revealed no differences between the two types of voices on co-presence perception, trust or working alliance.

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页数：2

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