This study used a quasi-experimental design to investigate the effects of VR on hope, pleasure, and travel expectations in children. The study included 2 distinct groups of participants: healthy children and hospitalized children with leukemia. Both groups received the same VR intervention and were assessed using a 1-group pretest-posttest design, in which outcome measures were collected immediately before and after the intervention within each group. This design allowed us to examine within-group changes in hope, pleasure, and travel expectations, as well as to compare the differential effects of the VR intervention between the 2 populations.

The experiment was conducted in 2 stages: a pilot test and a formal test. The purpose of the pilot test was to determine the VR destination. Five domestic tourist destinations (Park Lane by China Metal Products, National Museum of Natural Science, Dadu Blue Highway, Shalu Dream Street, and Dakeng Pink Valentine Bridge) and 6 international tourist destinations (the Pyramids of Egypt, the Eiffel Tower in France, Neuschwanstein Castle in Germany, Venice in Italy, Aphrodisias in Turkey, and the Space Station) were provided as options. Based on the results of the pilot test involving 12 children aged 7 -18 years, the Eiffel Tower was selected as the VR content due to its high ratings for engagement and recognizability. The content consisted of 8 scenes of the tower, captured from various angles and at different times of day, and participants were able to switch between scenes freely using the VR device.

In the formal test, participants were included 2 distinct groups of participants: healthy children and hospitalized children with leukemia. The hospitalized children with leukemia were recruited from the pediatric ward of Taichung Veterans General Hospital in Taiwan based on inclusion and exclusion criteria recommended by the attending physician. These children often undergo strict regimens of chemotherapy, radiation, or other therapies, which limit their opportunities to travel and experience new places, particularly if they have spent significant time in the hospital. This context likely heightens their desire to engage in virtual travel experiences, making them a key focus of this study. Additionally, the healthy children were recruited from a local cram school, where they were enrolled in regular academic programs and had no known history of serious medical conditions. Recruitment procedures prioritized voluntary participation. The inclusion and exclusion criteria of formal experimental design are summarized in Textbox 1.

All procedures performed in studies involving human participants adhered to the ethical standards of the institutional and national research committee, as well as the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

This study was approved by the Institutional Review Board of Taichung Veterans General Hospital (CF20285A) on December 3, 2020, and was conducted from December 3, 2020, to June 30, 2021. Informed consent was obtained from all participants and their parents or guardians prior to the study, with signed consent forms collected. The consent process involved clearly communicating the study’s objectives, procedures, and potential risks to ensure voluntary participation. All data were anonymized to protect participants’ privacy.

To show appreciation for participants’ involvement, each participant will receive a VR cardboard viewer (valued at approximately US $1.50) upon completing the experiment. This compensation allows them to continue experiencing VR content after the study. It does not affect their right to participate voluntarily or withdraw from the study at any time.

This study adopted the pleasure measurement from the study by Bakhuis et al [37]. A higher score indicated that the subject experienced more pleasure from the stimulus as shown in Table 1.

In addition, we measured children’s hope using the scale developed by Snyder et al [39]. The scale was scored on a 7-point Likert scale, with responses ranging from 1 (“definitely disagree”) to 7 (“definitely agree”). Travel expectations in this study were based on the anticipated outcomes a person expects to gain while traveling to a destination [40]. The items measuring children’s hope and travel expectations are listed in Textbox 2.

The researcher tested 1 child at a time, with each session lasting approximately 40 minutes. Healthy children were tested individually in a classroom, while hospitalized children were tested in their hospital ward beds, as shown in Figure 1. The study prioritized participant safety during VR use. Potential risks associated with VR, such as motion sickness, visual discomfort, or dizziness, were considered during the design phase. To mitigate these risks, age-appropriate 360-degree VR content with calming visuals was selected. Participants were monitored throughout the session, and breaks were allowed if discomfort occurred.

As the participants were underage and part of a vulnerable group, the attending physician and researcher carefully explained the experiment and obtained consent from both the children and their parents. The study followed a structured procedure: (1) Collecting children’s resting heart rate for baseline ECG data collection, followed by completing the pretest questionnaire to measure hope and travel expectations. (2) An 11-minute VR experience while ECG data were recorded. (3) Completing the posttest questionnaire to measure hope, travel expectations, and pleasure outcomes.

The experiment was conducted individually in classrooms (healthy children) or hospital wards (hospitalized children). .

All scales were tested using SPSS software (version 20; IBM Corp). We assessed the reliability of the items by examining the Cronbach alpha values, all of which exceeded the common threshold of 0.70, suggesting adequate reliability [41]. The pleasure scale demonstrated strong internal consistency, with a Cronbach α value of 0.88. Similarly, the hope scale exhibited high reliability, with a Cronbach α value of 0.93. Additionally, the travel expectations scale showed adequate internal consistency, with a Cronbach α value of 0.73. To analyze the data related to hope, travel expectations, and pleasure—key factors for a successful VR intervention—the questionnaire findings were compared between groups using an independent 2-tailed t test. Additionally, post hoc analyses were conducted using MANOVA to examine differences between children who had traveled (once or more) and those who had not. Independent samples 2-tailed t tests were also performed to compare children with and with no prior VR experience.

An ECG typically requires a physiological signal length of 30 seconds to 5 minutes for heartbeat detection [42]; therefore, this study used 5 minutes as the benchmark. To extract the R-peak of the QRS complex (the QRS complex is the portion of the ECG that reflects the depolarization of the ventricles, marking the onset of ventricular contraction; it is composed of the Q, R, and S waves and is a key indicator of cardiac electrical activity), we applied the Pan-Tompkins open-source algorithm using MATLAB [43]. During the process of collecting physiological signals, the original signal is prone to noise interference, making the QRS complex of the ECG difficult to distinguish. To address this, a filter was used to remove unnecessary signals, enhancing the ECG waveform’s characteristics.

Since heart rate variability is calculated based on the highest peak (R-peak) in the ECG, a Butterworth high-pass filter was applied to eliminate unwanted frequency bands and highlight the R-peak within the QRS complex. To detect the position of the R-peak, the differentiated signal was first segmented. Then, squaring was applied to amplify the signal, making high-frequency values more prominent, as shown in Figure 2.

Finally, the moving window integral method was used, with 30 samples (approximately 150 ms) as the window size. When both the difference threshold and the integration threshold met the required conditions simultaneously, an R-peak was detected, and the threshold was automatically updated.

As shown in Figure 3, the black line represents the noise threshold curve, the green line represents the automatically adapted threshold curve, and the red line represents the predicted R-peak curve. Finally, the results of the R-peak sequence were used to plot the pulse sequence onto the original waveform, as shown in Figure 4, which can be used to evaluate accuracy.

The participants included 18 hospitalized children and 30 healthy children, all aged between 7 and 18 years (see Table 2 for details). The hospitalized children were preselected by the attending physician and were patients with leukemia with stable health who were willing to participate in the experiment.

We use the MANOVA test for post hoc analyses to compare 2 different dependent variables (hope and travel expectations) among 3 groups based on their experience of traveling abroad (0 times, 1‐5 times, and more than 10 times) in the hospitalized children. The output shows that there are no significant differences in hope among groups (experience of traveling abroad 0 times: mean 5.34, SD 1.15; 1‐5 times: mean 5.44, SD 1.11; P=.99; and 0 times: mean 5.34, SD 1.15; more than 10 times: mean 5.34, SD 1.40; P>.99). Similarly, there are no significant differences in travel expectations among groups (experience of traveling abroad 0 times: mean 6.14, SD 0.85; 1‐5 times: mean 5.75, SD 1.00; P=.70; and 0 times: mean 6.14, SD 0.85; 5‐10 times: mean 6.31, SD 0.94; P=.94). Also, the results show that there are no significant differences in hope among groups in the healthy children.

In addition, we adopt an independent 2-tailed t test to analyze 2 different dependent variables (hope and travel expectations) between 2 groups based on their experience of using VR (used and never used) in hospitalized and healthy children, respectively. In the hospitalized children group, the results show that there are no significant differences in hope between the 2 groups (experience of using VR: used vs never used; t=0.57; P=.58), and no significant differences in travel expectations between the 2 groups (t₁₇=−0.04; P=.97). Similarly, the results show that there are no significant differences in hope and travel expectations in the healthy children group.

First, there was no significant difference in the sense of hope between the hospitalized and healthy children before using VR (t₄₆=−1.02; P=.32). However, after using VR to experience tourist attractions, a significant difference was observed between the 2 groups (t₄₆=−2.06; P=.049) (Table 3).

To further examine the degree of improvement in hope after the experiment, we conducted paired samples 2-tailed t tests for each group separately. The results showed significant differences in both the hospitalized children group (t₁₇=−2.46; P=.03) and the healthy children group (t₂₉=−3.46; P=.002). Furthermore, an independent samples 2-tailed t test revealed a significant difference in postintervention hope levels between the hospitalized and healthy children (t₄₆=−2.06; P=.049). Then, we further compared the mean differences in hope scores from preintervention to postintervention using an independent samples 2-tailed t test and found that the difference was statistically significant (t₄₆=2.18; P=.03). Healthy children demonstrated a greater increase in mean hope scores (an increase of 0.53, from 5.83 to 6.36) compared with the hospitalized children (an increase of 0.22, from 5.51 to 5.73). This suggest that using VR to experience tourist attractions may be more effective in enhancing the sense of hope in healthy children (Table 4). On the other hand, this result may also indicate that healthy children’s sense of hope is more easily stimulated than that of hospitalized children.

In addition, the results of the independent samples 2-tailed t test revealed a nonsignificant difference in pleasure (t₄₆=−1.116; P=.27) and travel expectations (t₄₆=−0.300; P=.77) between the hospitalized and healthy children. We inferred that both hospitalized and healthy children experienced pleasure when using VR, likely because it was a novel experience for them, and they had expectations about traveling.

For the independent samples 2-tailed t test, Cohen d is calculated by taking the mean difference between the 2 groups and dividing it by the pooled SD. Cohen d is an appropriate effect size measure when both groups have similar SDs and equal sample sizes. However, since our sample sizes differ, we used Hedges g, which adjusts for sample size differences. In this study, Hedges g was calculated as:

According to Zach [44], a g value of 0.2 represents a small effect size, 0.5 represents a medium effect size, and 0.8 represents a large effect size. Therefore, the effect size in this study (0.7) is close to a large effect size.

The resting state represents the baseline heartbeat. In this study, it was used to determine whether the heart rates of the 2 groups (hospitalized children and healthy children) were at the same level before the experiment. The results showed no significant difference between the groups before using VR.

However, when using VR, 5 indicators showed significant differences between the 2 groups: mean normal-to-normal intervals (t₄₆=−2.119; P=.04), normal-to-normal intervals (t₄₆=−2.856; P=.007), SD of normal-to-normal intervals (SDNN; t₄₆=2.189; P=.04), low-frequency (LF; t₄₆=2.834; P=.008), and high-frequency normalized units (HF_nu;t₄₆=2.297; P=.03). The results are summarized in Table 5.

In the ECG analysis, index calculations can be performed after obtaining the R-R interval. According to the literature, the autonomic nervous system (ANS) is mainly composed of the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS). If the ANS is biased toward the SNS, the PNS has a smaller effect. To illustrate, if the ANS were compared with a car, the SNS would represent the accelerator, and the PNS would represent the brake.

ECG indicators, such as SDNN and HF_nu, are related to the PNS, while LF is related to the SNS. In this study, the mean value of the SNS indicator (LF) in the hospitalized children (mean 192.77, SD 220.48) was significantly lower than the mean value of the SNS indicator (LF) in the healthy children (mean 443.64, SD 307.65). Conversely, the mean values of parasympathetic nervous indicators (SDNN, HF_nu) were significantly higher in the hospitalized children than those in the healthy children. Based on the significant results from LF, it appears that the SNS is highly active during VR exposure, indicating that healthy children experience VR in a more excited state. The results of the formal test are summarized in Table 6.

We assessed the effects of VR on hope, pleasure, and travel expectations in healthy and hospitalized children using ECG and questionnaires. The study demonstrated consistency between self-reported data and physiological measures, suggesting that VR effectively enhanced hope among both healthy and hospitalized children with leukemia, with a more pronounced effect in the healthy group. However, no significant changes were observed in pleasure or travel expectations in either group.

While questionnaires captured subjective experiences, ECG objectively measured real-time physiological responses. Indicators such as SDNN and LF revealed differences in ANS activity. Healthy children exhibited higher sympathetic activation, reflecting greater engagement, while hospitalized children showed more subdued responses. This alignment validates the questionnaire measures and enhances the study’s reliability. Beyond validation, ECG plays a crucial role in detecting subtle or unconscious emotional responses and tracking real-time fluctuations during VR exposure. By linking subjective perception with objective data, ECG strengthens methodological rigor and supports future VR-based emotional and physiological research.

We infer that this result possibly reflects hospitalized children’s deeper psychological needs and the greater impact of long-term hospitalization stress. Their sense of hope may be more focused on overcoming illness and achieving milestone progress in treatment. It is likely linked to improvements in their health condition, disease remission, or the possibility of participating in activities they have missed due to their illness. Therefore, this suggests that when designing interventions for hospitalized children, more targeted emotional support strategies should be considered. This aligns with previous research, in which Napetschnig et al [45] proposed that promoting user motivation is one of the key quality criteria for developing user-centered VR.

Nevertheless, we found a significant difference in the mean hope scores before and after using VR, both in healthy children and in hospitalized children. VR is a promising technique for cognitive diversion and psychological rehabilitation support for patients with cancer [46], particularly when they experience boredom during hospitalization following treatment [47,48]. Such computerized technologies are especially appealing to this age group, which, in turn, increases their enthusiasm [46]. For example, the results revealed no significant difference in pleasure and travel expectations between the hospitalized and healthy children. We infer that this finding suggests that both hospitalized and healthy children experienced pleasure when using VR because it was a novel experience for them and sparked their expectations about traveling. Although some participants in the hospitalized children group had prior experience using VR, there were no significant differences in hope and travel expectations between those who had used VR before and those who had not. Therefore, we suggest that health care workers shift their focus from health to overall well-being [49] and incorporate immersive VR experiences into pediatric care as a form of distraction therapy. This approach can help children cope with long-term hospitalization and enhance their emotional well-being.

Some limitations of this study should be noted. First, the study examined differences between healthy children and hospitalized children with leukemia aged 7‐18 years. Therefore, the results are applicable only to hospitalized children with leukemia in the midstage of treatment with stable vital signs and not to those with different medical conditions or from other age groups. Future studies should investigate the impact of VR apps on other age groups and medical conditions. Second, the VR experience content used in this research was primarily based on tourist attractions. Future studies could explore different VR content and experiences. Third, we acknowledge the limitations of ECG in differentiating specific emotional responses, as an increased heart rate can be associated with multiple emotions such as joy, surprise, or satisfaction. This is why we combined questionnaires to enhance the interpretation of emotional responses. Future studies could use more precise psychophysiological methods, such as functional magnetic resonance imaging, to improve the accuracy of emotional response assessments.

With the advancement of emerging technologies, this study aimed to evaluate the pleasurable experience of VR and its impact on hospitalized children’s travel expectations and hope by using ECG and questionnaires. We examined the differences between healthy and hospitalized children in their perceptions of pleasure and hope to provide future scholars with a reference for research on hospitalized children. In this study, VR provides hospitalized children with a safe space and a more immersive way to explore the world. It also provides another way for children to experience the world in addition to books and photographs, and it gives children more opportunities to learn about the world. Through self-learning and adaptation, children can find ways to deal with their emotions and relieve their psychological pressure. VR apps are considered an accessible, low-risk, and cost-effective innovative approach for children with leukemia, particularly during repeated waves of the epidemic, as they minimize the risk of cross-infection [50].