Training birdsong recognition using virtual reality

作     者：Carlos ARCE-LOPERA María JoséARIAS Gustavo CORRALES 

作者机构：Department of Technology and InformationUniversidad IcesiCali 760046Colombia 

出 版 物：《Virtual Reality & Intelligent Hardware》 (虚拟现实与智能硬件（中英文）)

年 卷 期：2021年第3卷第5期

页      面：397-406页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

主　　题：Human computer interaction Virtual environment Birdsong Audio training User engagement 

摘      要：Background In mega-biodiverse environments,where different species are more likely to be heard than seen,species monitoring is generally performed using bioacoustics ***,since bird vocalizations are reasonable estimators of biodiversity,their monitoring is of great importance in the formulation of conservation ***,birdsong recognition is an arduous task that requires dedicated training in order to achieve mastery,which is costly in terms of time and money due to the lack of accessibility of relevant information in field trips or even specialized *** technology based on virtual reality(VR)and spatial audio may improve species monitoring by enhancing information accessibility,interaction,and user *** This study used spatial audio,a Bluetooth controller,and a head-mounted display(HMD)to conduct an immersive training experience in *** moved inside a virtual world using a Bluetooth controller,while their task was to recognize targeted *** measured the accuracy of recognition and user engagement according to the User Engagement *** The experimental results revealed significantly higher engagement and accuracy for participants in the VR-based training system than in a traditional computer-based training *** four dimensions of the user engagement scale received high ratings from the participants,suggesting that VR-based training provides a motivating and attractive environment for learning demanding tasks through appropriate design,exploiting the sensory system,and virtual reality *** The accuracy and engagement of the VR-based training system were significantly high when tested against traditional *** research will focus on developing a variety of realistic ecosystems and their associated birds to increase the information on newer bird species within the training ***,the proposed VR-based training system must be tested with ad