摘要
现有音频增强现实(Audio Augmented Reality,AAR)服务类应用无法根据用户的交互行为进行动态调整音频引导内容,难以满足大规模人群多样化应用需求。针对此问题,构建了一个基于AAR的博物馆交互式引导模型,通过对场景、用户、导航过程三方面的定义实现音频信息的自适应推送,结合用户个人资料、行为特征、历史参观等信息匹配发现个人兴趣偏好,同时支持跟踪用户行为,动态调整兴趣特征参数,达到提供个性化的音频信息服务的目的。实验结果表明,基于该模型的原型系统具有良好的实用性,能更容易地定位展品,并增加观众对展品的兴趣。
To solve the problem that the existing audio augmented reality(AAR)service applications can t dynamically adjust the audio guidance content according to the user s interaction behavior,and can t meet the diversified application needs of large-scale crowd,this paper constructs an interactive guidance model based on AAR for museum.It realizes the adaptive push of audio information through the definition of scene,user and navigation process,which can combine the user s personal data,behavior characteristics and navigation process.At the same time,it supports tracking user behavior and dynamically adjusting interest characteristic parameters to achieve the goal of providing personalized audio information service.The experimental results show that the prototype system based on the proposed model has good practicability,can more easily locate the exhibits and increase tourists interest in the exhibits.
作者
蔡子丽
CAI Zili(Wuhan Museuem,Wuhan 430077,China)
出处
《电讯技术》
北大核心
2021年第7期907-912,共6页
Telecommunication Engineering