# A New Training Method for VR Sickness Reduction  
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signals. Subjective evaluation questionnaires commonly include the simulator sickness questionnaire (SSQ) [3], motion sickness susceptibility questionnaire (MSSQ) [4], and game experience questionnaire (GEQ) [5]. Common physiological signals used in objective measurements include an electrocardiogram (ECG), electrodermal activity (EDA), and an electrooculogram (EOG).  
The second focus is on how to reduce VR sickness. VR sickness reduction methods can be classified as hardware and software approaches.  
First, by examining the hardware approach, [PERSON] et al. (2017) compared VR sickness based on two HMDs (HTC Vive and Oculus Rift) and reported that HTC Vive provided better quality to reduce VR sickness than Oculus Rift [6]. This suggests that a higher-performing HMD can reduce VR sickness. However, this hardware-focused approach can create a dependency on a specific HMD, and with the annual release of higher-performance HMDs, there is the problem of users having to constantly change their HMD.  
Accordingly, several studies have been conducted to reduce VR sickness using a software approach. First, there are studies that have used visual effects. [PERSON] et al. (2021) applied peripheral blurring and field-of-view reduction effects to the content to decrease VR sickness and confirmed the effectiveness of this approach from experimental results [7]. [PERSON] et al. (2019) applied a dynamically changing blur effect to first-person games and confirmed from experimental results that this approach reduced the level of VR sickness in users [8]. [PERSON] et al. (2024) proposed a content design method (methods of movement, panel position, laser, background panel) to reduce cybersickness occurring in XR environments [9].  
Additionally, studies have been conducted to reduce VR sickness by providing specific objects in VR content. [PERSON] et al. (2023) placed fixed objects (virtual nose) on VR content to reduce VR sickness and confirmed their effectiveness from experimental results [10]. [PERSON] and [PERSON] (2021) proposed visual guides of various sizes and positions to reduce VR sickness and identified the optimal visual guide from experimental results [11]. [PERSON] et al. (2004) applied grid pattern independent visual background (IVB) to the background of the content and confirmed from experimental results that this approach reduced VR sickness [12].  
These software approaches are mainly provided by manipulating the content when the user experiences VR sickness or by applying VR sickness reduction methods to the content from the beginning. However, these approaches have the following limitations: (1) they are applied after the user has already experienced VR sickness and (2) they may compromise the immersion of the content.  
Therefore, in this paper, we propose a method to train users to adapt to VR sickness in advance (hereafter, VR sickness reduction training).