论文标题

虚拟现实游戏作为评估压力生理相关性的工具

A Virtual Reality Game as a Tool to Assess Physiological Correlations of Stress

论文作者

Lee, Daniel H., Jung, Tzyy-Ping

论文摘要

这项研究的目的是开发和使用虚拟现实游戏作为评估逼真的压力对参与者行为和生理反应的影响的工具。该游戏是基于一个流行的蒸汽游戏,称为“继续说话”,没有人会爆炸,玩家与另一个人合作以变形炸弹。解决难题和时间压力的不同水平将导致不同的压力水平,这些压力水平可以根据错误,响应时间长度和其他生理测量来衡量。该游戏是使用3D编程工具开发的,包括搅拌机和虚拟现实开发套件(VRTK)。为了准确测量响应时间,我们添加了LSL(实验室流层)标记,以收集和同步生理信号,行为数据和游戏事件的时机。我们在游戏玩法中记录了心电图(ECG)数据,以评估已显示为可靠压力指标的心率和心率变异性(HRV)。我们的经验结果表明,当参与者处于高压力下,这与先前的主流压力研究一致时,心率显着升高,而HRV显着降低。我们进一步尝试了其他工具,以在不利条件下增强两个玩家之间的沟通,发现自动语音识别软件通过将关键字显示到玩家的耳机中,从而有效地增强了玩家之间的通信,从而促进了找到难题或模块的解决方案。该VR游戏框架在GitHub中公开可用,可让研究人员测量和同步其他生理信号,例如脑电图,肌电图和互化度法。

The objective of this study is to develop and use a virtual reality game as a tool to assess the effects of realistic stress on the behavioral and physiological responses of participants. The game is based on a popular Steam game called Keep Talking Nobody Explodes, where the player collaborates with another person to defuse a bomb. Varying levels of difficulties in solving a puzzle and time pressures will result in different stress levels that can be measured in terms of errors, response time lengths, and other physiological measurements. The game was developed using 3D programming tools including Blender and virtual reality development kit (VRTK). To measure response times accurately, we added LSL (Lab Stream Layer) Markers to collect and synchronize physiological signals, behavioral data, and the timing of game events. We recorded Electrocardiogram (ECG) data during gameplay to assess heart rate and heart-rate variability (HRV) that have been shown as reliable indicators of stress. Our empirical results showed that heart rate increased significantly while HRV reduced significantly when the participants under high stress, which are consistent with the prior mainstream stress research. We further experimented with other tools to enhance communication between two players under adverse conditions and found that an automatic speech recognition software effectively enhanced the communication between the players by displaying keywords into the player's headset that lead to the facilitation of finding the solution of the puzzles or modules. This VR game framework is publicly available in Github and allows researchers to measure and synchronize other physiological signals such as electroencephalogram, electromyogram, and pupillometry.

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