Ji Zheng, D. Ding, Yuang Zhang, Zidu Cheng, Zhuying Li
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引用次数: 0
Abstract
Depression is a severe mental illness that can lead to negative moods and activities. The traditional clinical approach for diagnosing depression is face-to-face consultation, which is limited by time and space. Virtual Reality (VR), as a novel technology with higher accessibility and lower cost, can serve as an effective digital approach to diagnosing psychological disorders. In VR systems, users are exposed to various experimental scenarios, gaining immersive and interactive experiences. Recent research has demonstrated a relationship between depression and low spatial memory navigation ability (SMNA). Based on these considerations, we propose a VR system to detect one’s depression level by measuring spatial memory navigation performances. The system consists of three virtual scenarios with different spatial scales and dimensions. To study the system’s effectiveness, a pilot study with eight participants was conducted. The results showed differences in the participants’ spatial memory navigation performances in the three scenarios and a correlation between depression level and their spatial memory navigation performances.
期刊介绍:
Computer Supported Cooperative Work (CSCW): The Journal of Collaborative Computing and Work Practices is devoted to innovative research in computer-supported cooperative work (CSCW). It provides an interdisciplinary and international forum for the debate and exchange of ideas concerning theoretical, practical, technical, and social issues in CSCW.
The CSCW Journal arose in response to the growing interest in the design, implementation and use of technical systems (including computing, information, and communications technologies) which support people working cooperatively, and its scope remains to encompass the multifarious aspects of research within CSCW and related areas.
The CSCW Journal focuses on research oriented towards the development of collaborative computing technologies on the basis of studies of actual cooperative work practices (where ‘work’ is used in the wider sense). That is, it welcomes in particular submissions that (a) report on findings from ethnographic or similar kinds of in-depth fieldwork of work practices with a view to their technological implications, (b) report on empirical evaluations of the use of extant or novel technical solutions under real-world conditions, and/or (c) develop technical or conceptual frameworks for practice-oriented computing research based on previous fieldwork and evaluations.