检索结果-内蒙古大学图书馆

11th International Conference on Biomedical and Bioinformatics Engineering, ICBBE 2024

作者： Li, Yaqing Mo, Weiyi Ren, Jing Sun, Tianyi Zheng, Chengguaang Wang, Ling Yang, Jiajia Ming, Dong Medical School Tianjin University Tianjin China ZhejiangLab Zhejiang Hangzhou China Tianjin Key Laboratory of Brain Science and Neuroengineering Tianjin China Haihe Laboratory of Brian-Computer Interaction and Human-Machine Integration Tianjin China

ISBN: (纸本)9798400718274

Sleep plays a crucial role in individual physical and mental health. Insufficient sleep leads to inattention, memory loss, cognitive dysfunction and emotional disorders. The mesolimbic pathway, ventral tegmental area (VTA) to nucleus accumbens (NAc) dopaminergic neural pathway has been shown to be associated with sleep-wake behavior and depression-like behavior. In this study, we investigated the relation between chronic sleep deprivation (CSD)-induced depression-like behaviors and the activity of VTA-NAc dopaminergic pathway. CSD caused weight loss and depression-like behaviors in the mice, including anhedonia and helplessness. CSD prominently reduced the change of mice' s DA signal when moving freely. Additionally, NAc DA release became less noticeable in rewarding event and retreat behavior after exposing to CSD. In conclusion, our findings indicated that VTA-NAc dopaminergic neural pathway is directly related to depressive-like behavior caused by chronic sleep deprivation. This study provides a theoretical basis for the in-depth understanding of the physiological function of sleep, and provides a potential target for clinical research on improving or treating sleep disorder-related depression. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Sleep research

来源：评论

学校读者我要写书评

暂无评论

Purpose Mode: Reducing Distraction through Toggling Attention Capture Damaging Patterns on Social Media Web Sites

引用

ACM Transactions on computer-human interaction 2025年第1期32卷

作者： Lee, Hao-Ping [Hank] Chiang, Yi-Shyuan Gao, Lan Yang, Stephanie Winter, Philipp Das, Sauvik Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Department of Computer Science University of Illinois Urbana-Champaign UrbanaIL United States Department of Computer Science University of Chicago ChicagoIL United States Amnesic Systems United States

Social media web sites thrive on user engagement by employing Attention Capture Damaging Patterns (ACDPs), e.g., infinite scroll, that prey on cognitive vulnerabilities to distract users. Prior work has taxonomized these ACDPs, but we have yet to measure how the presence of ACDPs impacts perceived distraction nor how mechanisms that suppress ACDPs reduce distraction. We conducted a 2-week, mixed-methods field study with 29 participants to model how people get distracted when browsing social media web sites and how ACDPs might play a role. In the first week of the study, we sample participants' in situ perceptions of distraction, subjective perceptions of the browsing session (e.g., satisfaction), and the presence/absence of ACDPs. Participants reported feeling distracted 28% of the time and that subjective perceptions and some ACDPs (e.g., notifications) highly correlated with when they felt distracted. In the second week of the study, participants were given access to Purpose Mode - a browser extension that allows users to "toggle off"ACDPs. Participants reported feeling distracted only 7% of the time and spent 21 fewer daily minutes browsing these web sites. We discovered that Purpose Mode empowered users to feel more in control over their social media browsing and made participants feel less irritated and frustrated. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Tweets

来源：评论

学校读者我要写书评

暂无评论

A Technical User Study on an Authoring Tool for Simplifying VR Study Setups in HRI Research 25

A Technical User Study on an Authoring Tool for Simplifying ...

引用

ACM/IEEE International Conference on human-Robot interaction (HRI)

作者： André Helgert Sabrina C. Eimler Tom Gross Institute of Computer Science Ruhr West University of Applied Sciences Bottrop Germany Human-Computer Interaction Group University of Bamberg Bamberg Germany

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

This paper presents a novel virtual reality (VR) authoring tool designed to simplify the creation of human-robot interaction (HRI) studies. The tool was developed to lower the technical barriers in VR development and allows researchers to simulate complex robot interactions without the need for advanced programming skills. It incorporates key HRI methods such as the Wizard of Oz (WoZ) technique, eye-tracking and motion tracking, and provides a comprehensive platform for data collection and study customization. A technical user study with computer scientists was carried out to evaluate the technical applicability of the tool. The participants confirmed the user-friendliness, flexibility and accessibility of the tool and furthermore found the tool efficient and expressed a strong interest in using it for future research. The results underline the tool's potential to expand the use of VR in HRI research, especially for non-technical researchers.

关键词： Authoring systems Tracking human-robot interaction Virtual reality Gaze tracking Programming Data collection Robots

来源：评论

学校读者我要写书评

暂无评论

Beyond Coding: Empowering HRI Researchers with an Authoring Tool for Simplified VR Studies

Beyond Coding: Empowering HRI Researchers with an Authoring ...

引用

IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

ISBN: (数字)9798331521578

ISBN: (纸本)9798331521585

Although Virtual Reality (VR) is a promising tool in today's human-Robot interaction (HRI) research, the technical hurdle of creating high-quality and customized VR applications for one's own research prevents its comprehensive use. To address this problem, we present a VR authoring tool for HRI research, allowing non-technical researchers to create individual study designs in a simplified manner with predefined environments, robots, and measurement methods. Furthermore, the authoring tool has a highly modularized structure so that it can be adapted to a wide range of use cases. Technical details are presented, covering UI/UX decisions in the study design process and the visual programming interface for the creation of the interaction scheme of the robot, as well as the data management system that transfers researchers' study setups into a suitable VR application. The VR authoring tool is intended to bridge the gap between the practical applicability of VR as a research tool and the required technical implementation expertise for VR applications.

关键词： Visualization Authoring systems human-robot interaction Virtual reality Programming Encoding Artificial intelligence Robots

来源：评论

学校读者我要写书评

暂无评论

AMSFuse:Adaptive Multi-Scale Feature Fusion Network for Diabetic Retinopathy Classification

引用

computers, Materials & Continua 2025年第3期82卷 5153-5167页

作者： Chengzhang Zhu Ahmed Alasri Tao Xu Yalong Xiao Abdulrahman Noman Raeed Alsabri Xuanchu Duan Monir Abdullah School of Computer Science and Engineering Central South UniversityChangsha410083China School of Humanities Central South UniversityChangsha410083China Department of Human Anatomy and Histology & Embryology Basic Medical SciencesChangsha Health Vocational CollegeChangsha410100China Glaucoma Institute Changsha Aier Eye HospitalChangsha410000China Department of Computer Science and Artificial Intelligence College of Computing and Information TechnologyUniversity of BishaBisha67714Saudi Arabia

Globally,diabetic retinopathy(DR)is the primary cause of blindness,affecting millions of people *** widespread impact underscores the critical need for reliable and precise diagnostic techniques to ensure prompt diagnosis and effective *** learning-based automated diagnosis for diabetic retinopathy can facilitate early detection and ***,traditional deep learning models that focus on local views often learn feature representations that are less discriminative at the semantic *** the other hand,models that focus on global semantic-level information might overlook critical,subtle local pathological *** address this issue,we propose an adaptive multi-scale feature fusion network called(AMSFuse),which can adaptively combine multi-scale global and local features without compromising their individual ***,our model incorporates global features for extracting high-level contextual information from retinal ***,local features capture fine-grained details,such as microaneurysms,hemorrhages,and exudates,which are critical for DR *** global and local features are adaptively fused using a fusion block,followed by an Integrated Attention Mechanism(IAM)that refines the fused features by emphasizing relevant regions,thereby enhancing classification accuracy for DR *** model achieves 86.3%accuracy on the APTOS dataset and 96.6%RFMiD,both of which are comparable to state-of-the-art methods.

关键词： Diabetic retinopathy multi-scale feature fusion global features local features integrated attention mechanism retinal images

来源：评论

学校读者我要写书评

暂无评论

Folk Tales of IoT: Understanding the Impact of Stories on Users' Positive and Negative Perceptions of Smart Home IoT Devices 25

Folk Tales of IoT: Understanding the Impact of Stories on Us...

引用

Proceedings of the 2025 CHI Conference on human Factors in Computing Systems

作者： Leah Zhang-Kennedy Michaela Valiquette An Bella Chen Hilda Hadan Sangho Suh Stratford School of Interaction Design and Business University of Waterloo Waterloo Ontario Canada Human-Computer Interaction Carleton University Ottawa Ontario Canada Cheriton School of Computer Science University of Waterloo Waterloo Ontario Canada Department of Computer Science University of Toronto Toronto Ontario Canada

来源：评论

学校读者我要写书评

暂无评论

DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images

DRDM: A Disentangled Representations Diffusion Model for Syn...

引用

2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Huang, Enbo Zhang, Yuan Huang, Faliang Zhang, Guangyu Liu, Yang Guangxi Key Lab of Human-machine Interaction and Intelligent Decision Nanning Normal University Nanning China School of Computer and Information Engineering Nanning Normal University Nanning China College of Mathematics and Informatics South China Agricultural University Guangzhou China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (纸本)9798350368741

Person image synthesis with controllable body poses and appearances is an essential task owing to the practical needs in the context of virtual try-on, image editing and video production. However, existing methods face significant challenges with details missing, limbs distortion and the garment style deviation. To address these issues, we propose a Disentangled Representations Diffusion Model (DRDM) to generate photo-realistic images from source portraits in specific desired poses and appearances. First, a pose encoder is responsible for encoding pose features into a high-dimensional space to guide the generation of person images. Second, a body-part subspace decoupling block (BSDB) disentangles features from the different body parts of a source figure and feeds them to the various layers of the noise prediction block, thereby supplying the network with rich disentangled features for generating a realistic target image. Moreover, during inference, we develop a parsing map-based disentangled classifier-free guided sampling method, which amplifies the conditional signals of texture and pose. Extensive experimental results on the Deepfashion dataset demonstrate the effectiveness of our approach in achieving pose transfer and appearance control. The associated project can be found at https://***/lovemusiceb/DRDM. © 2025 IEEE.

关键词： Diffusion Model Disentangled Representation human Parsing Person image synthesis

来源：评论

学校读者我要写书评

暂无评论

Simulacrum of Stories: Examining Large Language Models as Qualitative Research Participants 25

Simulacrum of Stories: Examining Large Language Models as Qu...

引用

Proceedings of the 2025 CHI Conference on human Factors in Computing Systems

作者： Shivani Kapania William Agnew Motahhare Eslami Hoda Heidari Sarah E Fox School of Computer Science Carnegie Mellon University Pittsburgh Pennsylvania USA Human-Computer Interaction Institute Carnegie Mellon University Pittsburgh Pennsylvania USA

来源：评论

学校读者我要写书评

暂无评论

Semantics-Controlled Gaussian Splatting for Outdoor Scene Reconstruction and Rendering in Virtual Reality 32

Semantics-Controlled Gaussian Splatting for Outdoor Scene Re...

引用

32nd IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2025

作者： Schieber, Hannah Young, Jacob Langlotz, Tobias Zollmann, Stefanie Roth, Daniel Technical University of Munich Human-Centered Computing and Extended Reality Lab Tum University Hospital Clinic for Orthopedics and Sports Orthopedics Munich Germany Erlangen Germany University of Otago Department of Computer Science Dunedin New Zealand Aarhus University Department of Computer Science Aarhus Denmark

ISBN: (纸本)9798331536459

Advancements in 3D rendering like Gaussian Splatting (GS) allow novel view synthesis and real-time rendering in virtual reality (VR). However, GS-created 3D environments are often difficult to edit. For scene enhancement or to incorporate 3D assets, segmenting Gaussians by class is essential. Existing segmentation approaches are typically limited to certain types of scenes, e.g., "circular"scenes, to determine clear object boundaries. However, this method is ineffective when removing large objects in non-"circling"scenes such as large outdoor *** propose Semantics-Controlled GS (SCGS), a segmentation-driven GS approach, enabling the separation of large scene parts in uncontrolled, natural environments. SCGS allows scene editing and the extraction of scene parts for VR. Additionally, we introduce a challenging outdoor dataset, overcoming the "circling"setup. We outperform the state-of-the-art in visual quality on our dataset and in segmentation quality on the 3D-OVS dataset. We conducted an exploratory user study, comparing a 360-video, plain GS, and SCGS in VR with a fixed viewpoint. In our subsequent main study, users were allowed to move freely, evaluating plain GS and SCGS. Our main study results show that participants clearly prefer SCGS over plain GS. We overall present an innovative approach that surpasses the state-of-the-art both technically and in user experience. © 2025 IEEE.

关键词： Virtual environments

来源：评论

学校读者我要写书评

暂无评论

MixSSC: Forward-Backward Mixture for Vision-based 3D Semantic Scene Completion

引用

IEEE Transactions on Circuits and Systems for Video Technology 2025年

作者： Wang, Meng Ding, Yan Liu, Yumeng Qin, Yunchuan Li, Ruihui Tang, Zhuo The College of Computer Science and Electronic Engineering Hunan University Changsha410082 China Beijing Key Laboratory of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing100190 China

Vision-based semantic scene completion task aims to predict dense geometric and semantic 3D scene representations from 2D images. However, 3D modeling from a single view is an ill-posed problem, limited by the field of view and occlusion problems caused by image input. Moreover, existing methods tend to produce erroneous scene hallucinations and overly smooth boundary segmentation due to a lack of information. To address this problem, we propose MixSSC, which mixes the sparsity of forward projection with the denseness of depth-prior backward projection. The aim is to use sparse features to fill information-poor regions and dense features to enhance visible regions. Specifically, we develop the forward-backward mixture module, which enables the generation of scene mixture voxel representation by leveraging the benefits of both forward and backward projection. Subsequently, we design the semantic-spatial fusion module, which utilizes a coarse-to-fine approach to process mixture voxel features at the semantic-spatial level. Extensive experimental results on the SemanticKITTI, SSCBench-KITTI-360 and nuScenes datasets demonstrate the superiority of MixSSC. © 1991-2012 IEEE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：