Scenes Design in Virtual Reality for Depression Assessment
Depression has caused serious problems and attracted extensive attention in our society nowadays. Traditional depression diagnosis methods mainly include scale examination, blood test and medical imaging. But they did not obtain promising performance because of patient’s stigma, arbitrariness and distraction. The virtual reality technology can solve some of those problems by providing immersive experience and rich interaction in terms of detecting patient’s emotions. In this paper, we propose utilizing VR in the field of depression assessment. Specifically, we have designed a personalized VR depression diagnosis scene and interactive models for depression assessment. To validate the effectiveness of our approach, preliminary experiments were carried out and good results were obtained from survey of user experience. The average score of each ten questions is over 3.2 points with a total score of 5 points. The visibility of doctor’s position obtains the highest score. The lowest is naturalness of the scene, the main factor being the coordination between the human doctor image and the virtual scene. In future work, we are going to further improve the user experience and the efficiency of assessment.
KeywordsVirtual reality Scenes design Depression assessment
This work is supported by “The Project of Research and Reform based on Undergraduate Education in South China University of Technology in 2017” (Y1171080) and “Science and Technology Program of Guangzhou” (201704020043).
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