论文标题
在虚拟现实中快速评估情感状态的形象量表的开发和验证
Development and Validation of Pictographic Scales for Rapid Assessment of Affective States in Virtual Reality
论文作者
论文摘要
本文介绍了在虚拟环境中自我报告的情感状态评估的连续象形量表的开发和验证。开发的工具，称为Morph A Mood（MAM），由一个3D字符组成，可以根据所感知的情感状态以捕获价和唤醒分数来调整其面部表达。在一个实验中，它针对调查表Pick-A-Mood（PAM）和自我评估Manikin（SAM）进行了测试，其中参与者（n = 32）从虚拟环境中观看了DEAP数据库音乐视频的几分钟摘录，并在每个剪辑后都评估了他们的情绪。该实验在价方面显示出很高的相关性，但在唤醒方面只有一个中等的相关性。该实验和MAM的SAM等级之间没有发现统计学上的显着差异，但是MAM和DEAP数据库的价值以及MAM和PAM的唤醒值之间的差异。在用户体验方面，MAM和PAM几乎没有差异。此外，该实验表明，虚拟环境内的评估要比使用纸笔方法快得多，在这种方法中，必须戴上媒体设备（例如耳机和显示器护目镜）。
This paper describes the development and validation of a continuous pictographic scale for self-reported assessment of affective states in virtual environments. The developed tool, called Morph A Mood (MAM), consists of a 3D character whose facial expression can be adjusted with simple controller gestures according to the perceived affective state to capture valence and arousal scores. It was tested against the questionnaires Pick-A-Mood (PAM) and Self-Assessment Manikin (SAM) in an experiment in which the participants (N = 32) watched several one-minute excerpts from music videos of the DEAP database within a virtual environment and assessed their mood after each clip. The experiment showed a high correlation with regard to valence, but only a moderate one with regard to arousal. No statistically significant differences were found between the SAM ratings of this experiment and MAM, but between the valence values of MAM and the DEAP database and between the arousal values of MAM and PAM. In terms of user experience, MAM and PAM hardly differ. Furthermore, the experiment showed that assessments inside virtual environments are significantly faster than with paper-pencil methods, where media devices such as headphones and display goggles must be put on and taken off.
