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12th International Conference on interaction Design and Children, IDC 2013

作者： Wang, Danli Qi, Yunfeng Zhang, Yang Wang, Tingting Institue of Software Chinese Academy of Sciences Beijing China Beijing Key Lab. of Human-Computer Interaction Beijing China Graduate University Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781450319188

This paper describes a new tangible programming tool - - TanPro-Kit which was designed for children aged 5 to 9. It consists of programming blocks and a LED pad. The LED pad presents visual animations and audible feedback according to the arrangement of blocks with which children make program to play a maze game. Aiming at lowering the cost of TanPro-Kit, we adopted LED, RFID, wireless and infrared technology to develop the whole system. The system acquires the programming blocks' physical information which is then translated into programming semantic. TanPro-Kit is low-cost, which is more acceptable in developing countries. We ran a user study with 16 children involved, which showed TanPro-Kit to be attractive to children and easy to learn and use. Copyright 2013 ACM.

关键词： Light emitting diodes

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Evaluation of the user experience of "astronaut training device": An immersive, vr-based, motion-training system

Evaluation of the user experience of "astronaut training dev...

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International Symposium on Optical Measurement Technology and Instrumentation

作者： Yue, Kang Wang, Danli Yang, Xinpan Hu, Haichen Liu, Yuqing Zhu, Xiuqing Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Institute of Software Chinese Academy of Sciences Beijing China National Key Laboratory of Human Factors Engineering China Astronaut Research and Training Center Beijing China

ISBN: (纸本)9781510607682

To date, as the different application fields, most VR-based training systems have been different. Therefore, we should take the characteristics of application field into consideration and adopt different evaluation methods when evaluate the user experience of these training systems. In this paper, we propose a method to evaluate the user experience of virtual astronauts training system. Also, we design an experiment based on the proposed method. The proposed method takes learning performance as one of the evaluation dimensions, also combines with other evaluation dimensions such as: Presence, immersion, pleasure, satisfaction and fatigue to evaluation user experience of the System. We collect subjective and objective data, the subjective data are mainly from questionnaire designed based on the evaluation dimensions and user interview conducted before and after the experiment. While the objective data are consisted of Electrocardiogram (ECG), reaction time, numbers of reaction error and the video data recorded during the experiment. For the analysis of data, we calculate the integrated score of each evaluation dimension by using factor analysis. In order to improve the credibility of the assessment, we use the ECG signal and reaction test data before and after experiment to validate the changes of fatigue during the experiment, and the typical behavioral features extracted from the experiment video to explain the result of subjective questionnaire. Experimental results show that the System has a better user experience and learning performance, but slight visual fatigue exists after experiment. © 2016 SPIE.

关键词： Electrocardiograms

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Influence of multi-modality on moving target selection in virtual reality

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Virtual Reality & Intelligent Hardware 2019年第3期1卷 303-315页

作者： Yang LI Dong WU Jin HUANG Feng TIAN Hong'an WANG Guozhong DAI Beijing Key Laboratory of Human-Computer Interaction Institute of SoftwareChinese Academy of SciencesBeijing 100190China State Key Laboratory of Computer Science Chinese Academy of SciencesBeijing 100190China Institute of Remote Sensing and Digital Earth Chinese Academy of SciencesBeijing 100190China University Chinese Academy Sciences Beijing 100190China

Background Owing to recent advances in virtual reality(VR)technologies,effective user interaction with dynamic content in 3D scenes has become a research *** target selection is a basic interactive task in which the user performance research in tasks is significant to user interface design in *** from the existing static target selection studies,the moving target selection in VR is affected by the change in target speed,angle and size,and lack of research on some key *** This study designs an experimental scenario in which the users play badminton under the condition of *** adding seven kinds of modal clues such as vision,audio,haptics,and their combinations,five kinds of moving speed and four kinds of serving angles,and the effect of these factors on the performance and subjective feelings in moving target selection in VR,is *** The results show that the moving speed of the shuttlecock has a significant impact on the user *** angle of service has a significant impact on hitting rate,but has no significant impact on the hitting *** acquisition of the user performance by the moving target is mainly influenced by vision under the combined modalities;adding additional modalities can improve user *** the hitting distance of the target is increased in the trimodal condition,the hitting rate *** This study analyses the results of user performance and subjective perception,and then provides suggestions on the combination of modality clues in different scenarios.

关键词： Multimodal Moving target selection Virtual reality

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Compare and Model Multi-level Stereoscopic 3D Visual Fatigue Based on EEG

Compare and Model Multi-level Stereoscopic 3D Visual Fatigue...

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SID Symposium, Seminar, and Exhibition 2017, Display Week 2017

作者： Yue, Kang Wang, Danli Hu, Haichen Yang, Xinpan Chiu, Steve C. State Key Laboratory of Computer Institute of Software Chinese Academy of Sciences Beijing China Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China College of Science and Engineering Idaho State University Pocatello United States

ISBN: (纸本)9781510848757

In this paper, we designed an experiment to observe changes for different fatigue level in human brain when watching random dot stereogram (RDS) using the method of EEG. The subjects were asked to watch 3D content for 30 minutes and the disparity of RDS changed every 10 seconds. During this watching task, subjects should rate their extent of fatigue during the experiment on the scale of one to five only when they felt worse or better. 30 channels electroencephalogram (EEG) signals were recorded through the experiment. Finally, the relationship between various fatigue levels and disparities which revealed by EEG signals were investigated. Our results show that the power of waveband, namely alpha increased with the fatigue level increasing from one to four during watching RDS, but decreased in level five. We have employed logistic regression to model fatigue level and achieved classification accuracy of 94.18%. Our research has important implications for the continuous monitoring of user's fatigue in the future. © 2017 SID.

关键词： Electroencephalography

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A dual-channel beamformer based on time-delay compensation estimator and shifted PCA for speech enhancement 23

A dual-channel beamformer based on time-delay compensation e...

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23rd International Conference on Software, Telecommunications and computer Networks, SoftCOM 2015

作者： Jie, Zhang Liu, Hong Open Lab on Human-Robot Interaction School of Electrical and Computer Engineering Shenzhen Graduate School Peking University Shenzhen518055 China Open Lab on Human-Robot Interaction School of Electrical and Computer Engineering Shenzhen Graduate School Peking University Beijing100871 China

ISBN: (纸本)9789532900569

Speech enhancement is an essential technique to process degraded audio in various applications. Beamforming to eliminate interferences based on sensor arrays is the most well-known method for this issue. However, traditional beamformers often face magnitude incoherence towards received signals due to directional weighting. Therefore, a novel dual-channel beamformer based on time-delay compensation (TDC) and shifted principal components analysis (PCA) is presented in this work. Firstly, our enhancement algorithm utilizes TDC estimator to preserve binaural cues, including interaural time-delay and intensity difference. Then the estimated cues are comprised to improve the shifted PCA, which can reduce noise by extracting primary components. Finally, the aforehand processed audio are input to a beamformer with post-filter to obtain enhanced speech. Experiments have demonstrated that the proposed algorithm could achieve some superiorities in speech intelligibility compared with the state-of-the-arts against real scenarios. © 2015 University of Split, FESB.

关键词： Principal component analysis

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Real-time collision detection with two-level spatial hashing on GPU 22

Real-time collision detection with two-level spatial hashing...

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22nd Pacific Conference on computer Graphics and Applications, PG 2014

作者： Hong, Yang Wu, Wen Chen, Hui Department of Computer and Information Science Faculty of Science and Technology University of Macau China Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Science Beijing China

ISBN: (纸本)9783905674736

In this paper, a two-level parallel spatial hashing method is presented for real-time collision detection of deformable objects based on modern GPU architecture. The second-level of spatial hashing is used to improve the culling efficiency. Moreover, a novel encoding method on GPU is proposed to compensate the inflexibility of the GPU memory system. It can efficiently determine the colliding pairs of primitives between deformable objects. The experimental results show that our method can perform high culling efficiency with low memory cost. © The Eurographics Association 2014.

关键词： Graphics processing unit

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SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches 16th

SceneSketcher: Fine-Grained Image Retrieval with Scene Sketc...

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16th European Conference on computer Vision, ECCV 2020

作者： Liu, Fang Zou, Changqing Deng, Xiaoming Zuo, Ran Lai, Yu-Kun Ma, Cuixia Liu, Yong-Jin Wang, Hongan State Key Laboratory of Computer Science and Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China HMI Laboratory Huawei Technologies Shenzhen China Cardiff University Cardiff United Kingdom Tsinghua University Beijing China

ISBN: (纸本)9783030585280

Sketch-based image retrieval (SBIR) has been a popular research topic in recent years. Existing works concentrate on mapping the visual information of sketches and images to a semantic space at the object level. In this paper, for the first time, we study the fine-grained scene-level SBIR problem which aims at retrieving scene images satisfying the user’s specific requirements via a freehand scene sketch. We propose a graph embedding based method to learn the similarity measurement between images and scene sketches, which models the multi-modal information, including the size and appearance of objects as well as their layout information, in an effective manner. To evaluate our approach, we collect a dataset based on SketchyCOCO and extend the dataset using Coco-stuff. Comprehensive experiments demonstrate the significant potential of the proposed approach on the application of fine-grained scene-level image retrieval. © 2020, Springer Nature Switzerland AG.

关键词： Semantics

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Evaluation of the user experience of “astronaut training device”:An Immersive,VR-Based,Motion-Training System

Evaluation of the user experience of “astronaut training de...

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International Symposium on Optoelectronic Technology and Application 2016(OTA 2016)——Conf.5 Optical Measurement Technology and Instrument

作者： Kang Yue Danli Wang Xinpan Yang Haichen Hu Beijing Key Lab of Human-Computer Interaction Institute of SoftwareChinese Academy of Sciences

As the development of Optical technology,virtual display device can provide a better experience than the traditional device does,and this devices have been widely used in all *** is us

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Enhancing Emotional Experience by Building Emotional Virtual Characters in VR Volleyball Games

Enhancing Emotional Experience by Building Emotional Virtual...

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作者： Bai, Zechen Yao, Naiming Mishra, Nidhi Chen, Hui Wang, Hongan Magnenat Thalmann, Nadia Beijing Key Laboratory of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Institute for Media Innovation Nanyang Technological University Singapore Singapore

Virtual reality (VR) volleyball games can provide an immersive entertainment experience and facilitate users to get familiar with game rules. In real world, players often experience emotions from scores, strokes, passes, and the influence from their teammates or opponents, and so forth. However, seldom studies are carried out for this emotional experience in a virtual environment, as most VR volleyball games mainly concentrate on the game playing, such as body movements. In this article, we propose to enhance emotional experience by building emotional virtual characters in VR volleyball games. The virtual characters cannot only arouse their emotions but also express their facial expressions according to the game situation. Emotion patterns are learned from real-world volleyball matches. The results demonstrate that our framework has great potential to enhance the user's emotional experience and engagement. © 2021 John Wiley & Sons, Ltd.

关键词： Sports

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A Neural Architecture Search Method with Multi-Dimensional Correlation Representation for Fault Diagnosis 9

A Neural Architecture Search Method with Multi-Dimensional C...

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9th IEEE Smart World Congress, SWC 2023

作者： Liu, Yumeng Wang, Tingqi Zheng, Xu Tian, Ling Wang, Hongan Institute of Software Chinese Academy of Sciences Beijing Key Laboratory of Human-Computer Interaction Beijing China University of Chinese Academy of Sciences School of Computer Science and Technology Beijing China University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu China

ISBN: (纸本)9798350319804

As deep learning has become more widely used for fault diagnosis, the shortcomings of model transferability and human model design costs are growing increasingly evident. The current work has tackled each of these two issues. Domain adaptation methods can provide transportability by mapping data to a common domain. For the consumption of manually constructed networks, Neural Architecture Search (NAS) is an intelligent solution that automatically select the ideal network structure. Unfortunately, there is little work to connect these two methodologies in fault diagnosis. Furthermore, these approaches are incapable in extracting internal correlations from instrumental signal data. In this paper, we propose a transferrable NAS fault diagnosis method, which maximizes savings in manual costs. We also integrate graph neural networks (GNN) in a stepwise manner into the NAS and domain adaptation to provide a multi-dimension correlation representation. Firstly, we structure the signal data into graph based on temporal relationships. Then, NAS designs automatically for selecting the optimal network structure and useful features. In NAS, graph encoder of GNN is used to establish internal relationships. Finally, domain adaptation provides transferability. At the same time, GNN's weights in domain adaptation help to further mine data internal associations. We tested our method on two publicly available datasets and performed comparisons. The experimental results show the proposed method has superior performance. © 2023 IEEE.

关键词： Domain Adaptation Fault Diagnosis Graph Neural Network Neural Architecture Search

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