互动社会主体的恐怖谷:一项实验研究

Q1 Computer Science Virtual Reality Intelligent Hardware Pub Date : 2022-10-01 DOI:10.1016/j.vrih.2022.08.003
Nidhi Mishra , Manoj Ramanathan , Gauri Tulsulkar , Nadia Magneat Thalmann
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引用次数: 3

摘要

恐怖谷假说认为,用户在与几乎与人类相似的人工角色互动时可能会感到不舒服。人工智能、机器人技术和计算机图形学的进步导致了栩栩如生的虚拟人和人形机器人的发展。重新审视这一假设是必要的,以检查它们对当前高度习惯最新技术的人群是积极的还是消极的影响。方法在这项研究中,我们提出了一个独特的评估恐怖谷假说,允许参与者与四个具有不同程度的人形机器人互动。每个参与者都完成了一份调查问卷,以评估每个机器人的亲和力。此外,我们使用深度学习方法,通过记录参与者与机器人的互动,使用多模态线索(包括视觉、音频和文本线索)量化参与者的情绪状态。结果多模态分析和调查为恐怖谷假说提供了有趣的结果和见解。
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Uncanny valley for interactive social agents: an experimental study

Background

The uncanny valley hypothesis states that users may experience discomfort when interacting with almost human-like artificial characters. Advancements in artificial intelligence, robotics, and computer graphics have led to the development of life-like virtual humans and humanoid robots. Revisiting this hypothesis is necessary to check whether they positively or negatively affect the current population, who are highly accustomed to the latest technologies.

Methods

In this study, we present a unique evaluation of the uncanny valley hypothesis by allowing participants to interact live with four humanoid robots that have varying levels of human-likeness. Each participant completed a survey questionnaire to evaluate the affinity of each robot. Additionally, we used deep learning methods to quantify the participants’ emotional states using multimodal cues, including visual, audio, and text cues, by recording the participant–robot interactions.

Results

Multi-modal analysis and surveys provided interesting results and insights into the uncanny valley hypothesis.

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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
期刊最新文献
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