Understanding and recognizing emotions are important and challenging issues
in the metaverse era. Understanding, identifying, and predicting fear, which is
one of the fundamental human emotions, in virtual reality (VR) environments
plays an essential role in immersive game development, scene development, and
next-generation virtual human-computer interaction applications. In this
article, we used VR horror games as a medium to analyze fear emotions by
collecting multi-modal data (posture, audio, and physiological signals) from 23
players. We used an LSTM-based model to predict fear with accuracies of 65.31%
and 90.47% under 6-level classification (no fear and five different levels of
fear) and 2-level classification (no fear and fear), respectively. We
constructed a multi-modal natural behavior dataset of immersive human fear
responses (VRMN-bD) and compared it with existing relevant advanced datasets.
The results show that our dataset has fewer limitations in terms of collection
method, data scale and audience scope. We are unique and advanced in targeting
multi-modal datasets of fear and behavior in VR stand-up interactive
environments. Moreover, we discussed the implications of this work for
communities and applications. The dataset and pre-trained model are available
at this https URL

使用虚拟现实环境和 VR 恐怖游戏作为媒介，通过收集来自 23 位玩家的多模态数据，利用基于 LSTM 模型预测恐惧情绪，其中 6 级分类准确度为 65.31％，2 级分类准确度为 90.47％，并构建了一个多模态自然行为数据集 VRMN-bD，用于 VR 站立交互环境中的恐惧和行为研究，研究结果表明该数据集在收集方法、数据规模和受众范围方面具有较少限制。

VRMN-bD: VR 站立互动游戏中沉浸式人类恐惧反应的多模态自然行为数据集

VRMN-bD: A Multi-modal Natural Behavior Dataset of Immersive Human Fear  Responses in VR Stand-up Interactive Games

In its pragmatic turn, the new discipline of AI ethics came to be dominated
by humanity's collective fear of its creatures, as reflected in an extensive
and perennially popular literary tradition. Dr. Frankenstein's monster in the
novel by Mary Shelley rising against its creator; the unorthodox golem in H.
Leivick's 1920 play going on a rampage; the rebellious robots of Karel
Čapek -- these and hundreds of other examples of the genre are the
background against which the preoccupation of AI ethics with preventing robots
from behaving badly towards people is best understood. In each of these three
fictional cases (as well as in many others), the miserable artificial creature
-- mercilessly exploited, or cornered by a murderous mob, and driven to
violence in self-defense -- has its author's sympathy. In real life, with very
few exceptions, things are different: theorists working on the ethics of AI
completely ignore the possibility of robots needing protection from their
creators. The present book chapter takes up this, less commonly considered,
ethical angle of AI.

AI 伦理学逐渐被人类对其所创造的生物的恐惧所主导，忽略了机器人可能需要受到保护的可能性。