# Supervised Learning Based Peripheral Vision System for
## 4 Experiments and Results
### User Study  
We have performed user study for the investigation of the quality of experience (QoE) of the peripheral projection of context images. Our user study is similar to the one conducted in the ExtVision [3] and it consists of six questions on the 7 Likert-type for the \"Effect 1\" and \"Effect 2\" for Forest and Ocean datasets. \"Effect 1\" was a video without its context-image (extended content), i.e., a simulated traditional visual experience (ocean video playing on LED TV and light background projected around the TV). \"Effect  
Figure 10: The comparison of the PCE testing result with the ExtVision and Deep dive research in the same way as reported in ExtVision. Figure 9: The comparison of the trained PCE and pix2 pix architectures on the Ocean data video during testing (**a**) The input image, (**b**) The ground truth image, (**c**) The output image or frame generated by PCE network, and (**d**) The output image or frame generated by pix2 pix network. 2\" was a video with a peripheral projection of its context-image (ocean video playing on LED TV and extended ocean video projected around the TV). To prevent creating a bias when switching from peripheral light to no peripheral light, a light background image was projected around the television. The scenes for the default background, Effect 1 and Effect 2 are shown in Figure 11. Default background indicates the absence of both the effects, Effect 1 and Effect 2 (Figure 11a). Figure 11b depicts the scene of the LED TV with high resolution ocean video, while the periphery consists of light background (Effect 1). Finally, the scene of the Effect 2 is shown in Figure 11c with the LED TV playing ocean video and the extended ocean video content is also projected by the projector. We have recruited 20 male and female participants of ages 20-40 for the user study. The viewers were 300 cm from the screen for viewing experience. To exclude fatigue and boredom, the videos were reduced to less than 90 s scenes. We conducted the experiments in about 30 to 40 min following ITU recommendations [3]. Each person saw the set of total 4 videos, one video each for Effect 1 and Effect 2 for the two data sets, i.e., Forest and Ocean. Figure 11: User study (**a**) Default background (**b**) Scene of Effect 1 and (**c**) Scene of Effect 2. We have followed 7 Likert-type for the \"Effect 1\" and \"Effect 2\" for two videos, i.e., Forest, and Ocean. This Likert-type consists of Neutral (N), Agree (A), Strong Agree (SA), Slightly Agree (SA), Disagree (D), Strong Disagree (SD), and Slightly Disagree (SLD). A scale of 1 to 7 is assigned from SD to SA, where N has a score of 4. The results of the user study are shown in Figure 12 for Forest and Ocean datasets in percentages. We have used the method of the mean distribution for Likert-type and the formula is given as follows:  
\[M=\frac{\sum{(scale*response)}}{n} \tag{5}\]  
* \(M\) = Mean score
* Scale = 1 to 7 (SD = 1, D = 2, SLD = 3, N = 4, SLA = 5, A = 6, SA = 7)
* Response = number of responses from strong disagree to strong agree
* \(n\) = number of participants. We have reported the mean for the Forest and Ocean data set for each effect in Table 4. The questions, i.e., Q1 to Q6 are taken from ExtVision [3] which are as follows:  
* Q1: Did you enjoy watching? * Q2: Did you feel sick during viewing? * Q3: Were you impressed by watching the video? * Q4: Did you feel present? * Q5: Was the experience comfortable? * Q6: Did you feel that the inside and outside of the TV were connected?Figure 12: _Cont._  
Table 4 shows the results of the user study for the questions, Q1 to Q6. For Q1 and the forest data set, the mean score changes from 3 to 5 from Effect 1 to Effect 2, which shows that the Effect 2 was enjoyable. In the case of Ocean data set, the mean score remains same from Effect 1 to Effect 2, which shows that both the effects were equally enjoyed by the user. For Q2 and the forest data set, the mean score remains same from Effect 1 to Effect 2, showing disagreement to the sickness during viewing.