2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)最新文献_第10页

VR Collaboration in Large Companies: An Interview Study on the Role of Avatars 大型企业的虚拟现实合作:对虚拟化身角色的访谈研究

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00037

Natalie Hube, Katrin Angerbauer, Daniel Pohlandt, Kresimir Vidackovic, M. Sedlmair

{"title":"VR Collaboration in Large Companies: An Interview Study on the Role of Avatars","authors":"Natalie Hube, Katrin Angerbauer, Daniel Pohlandt, Kresimir Vidackovic, M. Sedlmair","doi":"10.1109/ISMAR-Adjunct54149.2021.00037","DOIUrl":"https://doi.org/10.1109/ISMAR-Adjunct54149.2021.00037","url":null,"abstract":"Collaboration is essential in companies and often physical presence is required, thus, more and more Virtual Reality (VR) systems are used to work together remotely. To support social interaction, human representations in form of avatars are used in collaborative virtual environment (CVE) tools. However, up to now, the avatar representations often are limited in their design and functionality, which may hinder effective collaboration. In our interview study, we explored the status quo of VR collaboration in a large automotive company setting with a special focus on the role of avatars. We collected inter-view data from 21 participants, from which we identified challenges of current avatar representations used in our setting. Based on these findings, we discuss design suggestions for avatars in a company setting, which aim to improve social interaction. As opposed to state-of-the-art research, we found that users within the context of a large automotive company have an altered need with respect to avatar representations.","PeriodicalId":244088,"journal":{"name":"2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117346667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

VRSmartphoneSketch: Augmenting VR Controller With A Smartphone For Mid-air Sketching vrsmartphonessketch:增强VR控制器与智能手机的半空中素描

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00082

Shouxia Wang, Li Zhang, Jingjing Kang, Shuxia Wang, Weiping He

引用次数: 2

Focus Group on Social Virtual Reality in Social Virtual Reality: Effects on Emotion and Self-Awareness 社会虚拟现实:对情绪和自我意识的影响

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00099

Patricia Manyuru, Chelsea Dobbins, Benjamin Matthews, O. Baumann, Arindam Dey

引用次数: 0

Using Context and Physiological Cues to Improve Emotion Recognition in Virtual Reality 利用情境和生理线索提高虚拟现实中的情绪识别

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00105

Kunal Gupta

引用次数: 0

Multi-Drone Collaborative Trajectory Optimization for Large-Scale Aerial 3D Scanning 大型航空三维扫描多无人机协同轨迹优化

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00034

Fangping Chen, Yuheng Lu, Binbin Cai, Xiaodong Xie

{"title":"Multi-Drone Collaborative Trajectory Optimization for Large-Scale Aerial 3D Scanning","authors":"Fangping Chen, Yuheng Lu, Binbin Cai, Xiaodong Xie","doi":"10.1109/ISMAR-Adjunct54149.2021.00034","DOIUrl":"https://doi.org/10.1109/ISMAR-Adjunct54149.2021.00034","url":null,"abstract":"Reconstruction and mapping of outdoor urban environment are critical to a large variety of applications, ranging from large-scale city-level 3D content creation for augmented and virtual reality to the digital twin construction of smart cities and automatic driving. The construction of large-scale city-level 3D model will become another important medium after images and videos. We propose an autonomous approach to reconstruct the voxel model of the scene in real-time, and estimate the best set of viewing angles according to the precision requirement. These task views are assigned to the drones based on Optimal Mass Transport (OMT) optimization. In this process, the multi-level pipelining in the chip design method is applied to accelerate the parallelism between exploration and data acquisition. Our method includes: (1) real-time perception and reconstruction of scene voxel model and obstacle avoidance; (2) determining the best observation and viewing angles of scene geometry through global and local optimization; (3) assigning the task views to the drones and planning path based on the OMT optimization, and iterating continuously according to new exploration results; (4) expediting exploration and data acquisition in parallel through multi-stage pipeline to improve efficiency. Our method can schedule routes for drones according to the scene and its optimal acquisition perspective in real-time, which avoids the model void and lack of accuracy caused by traditional aerial 3D scanning using routes of cultivating land regardless of the object, and lays a solid foundation for the 3D real-life model to directly become the available 3D data source for AR and VR. We evaluate the effectiveness of our method by collecting several groups of large-scale city-level data. Facts have proved that the accuracy and efficiency of reconstruction have been greatly improved.","PeriodicalId":244088,"journal":{"name":"2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131625978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Watch-Your-Skiing: Visualizations for VR Skiing using Real-time Body Tracking 观看你的滑雪:使用实时身体跟踪的VR滑雪可视化

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00088

Xuan Zhang, Erwin Wu, H. Koike

引用次数: 2

Context-Aware Markerless Augmented Reality for Shared Educational Spaces 用于共享教育空间的上下文感知无标记增强现实

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00110

T. Scargill

{"title":"Context-Aware Markerless Augmented Reality for Shared Educational Spaces","authors":"T. Scargill","doi":"10.1109/ISMAR-Adjunct54149.2021.00110","DOIUrl":"https://doi.org/10.1109/ISMAR-Adjunct54149.2021.00110","url":null,"abstract":"In order for markerless augmented reality (AR) to reach its full potential in educational settings it must be able to adapt to the wide range of possible environments, devices and user cognitive states that affect learning outcomes. Shared educational spaces, such as classrooms, art galleries, museums, teaching hospitals and wildlife centers present enticing opportunities in terms of specialized AR applications, existing infrastructure to leverage, and large numbers of AR sessions to gather data on. In this work we make feasible the challenging concept of context-aware AR through the use of a ‘local expert’, which learns the optimal configuration of AR algorithms and virtual content for the specific educational space and use case for which it is implemented. To compute insights from multiple AR devices, enable timely responses to fast-changing user cognitive states, and ensure the security of sensitive user data, we propose an edge-computing architecture, in which storage and computation related to our local expert is performed on a server on the same local area network as the mobile AR devices.","PeriodicalId":244088,"journal":{"name":"2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121649973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gaze-Adaptive Subtitles Considering the Balance among Vertical/Horizontal and Depth of Eye Movement 考虑眼动纵深平衡的注视自适应字幕

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00035

Yusuke Shimizu, Ayumi Ohnishi, T. Terada, M. Tsukamoto

引用次数: 0

Vision-based Acoustic Information Retrieval for Interactive Sound Rendering 基于视觉的交互式声音渲染声学信息检索

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00115

M. Colombo

{"title":"Vision-based Acoustic Information Retrieval for Interactive Sound Rendering","authors":"M. Colombo","doi":"10.1109/ISMAR-Adjunct54149.2021.00115","DOIUrl":"https://doi.org/10.1109/ISMAR-Adjunct54149.2021.00115","url":null,"abstract":"The planned thesis work involves adopting computer vision techniques in the process of decomposing complex scenes to recognise acoustic characteristics of space, determining physical and structural features of complex scenes. The experiments presented demonstrate applications of scene understanding techniques to game scenes and virtual reconstructions of real space to determine acoustic properties of scene geometry for automating realistic sound rendering, identifying the current state of automatic acoustic material recognition for virtual environments and proposing a novel evaluation framework to test objective and subjective accuracy against measurements from real environments. Proof-of-concept systems have been tested on state-of-the-art acoustic renderers to demonstrate their efficiency in offline procedures. Current directions are aimed at designing end-to-end pipelines for interactive, real-time applications, with the ambition of adopting computer vision to understand the acoustic space, even in contexts of dynamic geometry typical of Augmented Reality platforms, where the acoustic space is constantly updating based on the surrounding, real world.","PeriodicalId":244088,"journal":{"name":"2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","volume":"34 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116599221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Augmented Reality Interface for Sailing Navigation: a User Study for Wind Representation 航海导航的增强现实界面:风表示的用户研究

2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) Pub Date : 2021-10-01 DOI: 10.1109/ISMAR-Adjunct54149.2021.00060

Francesco Laera, V. Manghisi, Alessandro Evangelista, M. Foglia, M. Fiorentino

{"title":"Augmented Reality Interface for Sailing Navigation: a User Study for Wind Representation","authors":"Francesco Laera, V. Manghisi, Alessandro Evangelista, M. Foglia, M. Fiorentino","doi":"10.1109/ISMAR-Adjunct54149.2021.00060","DOIUrl":"https://doi.org/10.1109/ISMAR-Adjunct54149.2021.00060","url":null,"abstract":"This paper presents a novel Augmented Reality (AR) interface for Head Mounted Display HMD, specifically for sailing navigation. Compared to literature and the commercial solutions available, the novelty is to use boat-referenced 3D graphics. It allows representing wind direction and intensity, heading with monochrome green elements. Furthermore, we carried out a user validation study. We implemented a virtual simulator including a sailboat, the marine environment (i.e., sea, sky, marine traffic, and sounds), and the presented interface as AR overlay. We evaluated the effectiveness of the wind representation of the AR interface through an online questionnaire based on a video simulation and asking the user to imagine it as the result of an AR visualization. We defined one test scenario with wind variations and a distracting element (i.e., a crossing vessel). 75 sailors (59% experts, with more than 50 sailing days per year) participated in the questionnaire, and most of them (63%) considered the video effective at simulating the AR interface. In addition, 75% are ready to wear an AR device during sailing. Also, the usability (SUS questionnaire) and the user experience (UEQ) results provided positive results.","PeriodicalId":244088,"journal":{"name":"2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129702797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2