# Method for Viewing Real-World Scenes while Recording Video
## 6 Discussion  
Although many people record a video to memorize important moments, it is difficult to see the entire real-world scene because they need to focus on the recording. We hypothesized that people produce negative emotional responses when seeing the scene through the mobile phone screen and concentrate on recording rather than fully enjoying the moments. In general, the results indicate that there is a significant difference in emotional responses between using a regular camera application and using the new camera application that applied our novel technology. **Object Tracking**: Most participants felt greater pleasure, more excitement, and more independence when using the new camera application. This is associated with the error rate results. In object tracking, the error rates of using a regular camera application were significantly higher than those of using the new camera application. Recording a videousing a regular camera application led the participants to focus on the video recording itself rather than on watching the actual scene, and induced them to feel negative emotions. By contrast, while video recording using the new camera application, the participants saw the entire real-world scene and were confident that the new camera application tracked the target object automatically, which induced more pleasurable, exciting, and independent emotional responses for the participants. **Object Detection**: The error rate results indicate that the error rate of using the regular camera application was higher than that of using the new camera application, although the difference was not statistically significant. In object detection, the participants felt more pleasure, excitement, and independence when using the new camera application than when using the regular camera application. Using the new camera application helped the participants see the entire real-world scene. This indicates that the participants can use a wider field of view when using the new camera application, which induced emotional responses of greater pleasure, excitement, and independence. When the participants used the regular camera application, they felt more negative emotions. It was assumed that generating negative emotions from looking at the mobile phone screen might further shrink the field of view. The research of [PERSON] et al. asserted that the field of view can be shrunk by negative emotions [28]. Thus, although there was no significant effect in object detection between the two situations, there was a significant difference in the emotional response. **Limitations and Future Studies:** Although our new camera application can help people see the real-world scene rather than through the mobile phone screen, there are some limitations and a need remains for additional future studies. First, it is not necessary to look at the mobile phone screen during video recording; however, the users must hold the mobile phone at the same height as when using a regular camera app. The camera requires a field-of-view expansion, especially in the up and down areas. In this research, we could not consider the method to correct the user's posture when using the new video recording application even if their posture is wrong. Future works should include the study of a user's posture whilst holding a mobile phone during a video recording. Second, it is difficult to recognize the user's intentions indoors based only on the movement of the head pose. We believe that the movement of the head pose might be acceptable in object detection in outdoor situations such as concerts or musicals. There are some limitations in this study. First, our case study was limited to an indoor experimental laboratory. The indoor experiment indicated that there was no significant difference in object detection between conditions. This is because the field of view was narrow in the indoor activity. Second, the algorithms applied in the application should be improved. The MOSSE algorithm is related to the filtering algorithm, and it cannot support a long-term scene.