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12th Symposium on Usable Privacy and Security, SOUPS 2016

作者： Mathur, Arunesh Engel, Josefine Sobti, Sonam Chang, Victoria Chetty, Marshini Human-Computer Interaction Lab College of Information Studies University of Maryland College ParkMD20742 United States

ISBN: (纸本)9781931971317

Users often do not install security-related software updates, leaving their devices open to exploitation by attackers. We are beginning to understand what factors affect this software updating behavior but the question of how to improve current software updating interfaces however remains unanswered. In this paper, we begin tackling this question by studying software updating behaviors, designing alternative updating interfaces, and evaluating these designs. We describe a formative study of 30 users' software updating practices, describe the low fidelity prototype we developed to address the issues identified in formative work, and the evaluation of our prototype with 22 users. Our findings suggest that updates interrupt users, users lack sufficient information to decide whether or not to update, and vary in terms of how they want to be notified and provide consent for updates. Based on our study, we make four recommendations to improve desktop updating interfaces and outline socio-technical considerations around software updating that will ultimately affect end-user security. © 2016 by The USENIX Association All Rights Reserved.

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Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks 12

Real-Time Facial Expression Recognition using Facial Landmar...

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12th Iranian/2nd International Conference on Machine vision and Image Processing, MVIP 2022

作者： Haghpanah, Mohammad A. Saeedizade, Ehsan Masouleh, Mehdi Tale Kalhor, Ahmad University of Tehran Human and Robot Interaction Lab School of Electrical and Computer Engineering Tehran Iran University of Nevada Department of Computer Science and Engineering Reno United States

ISBN: (纸本)9781665412162

This paper presents a lightweight algorithm for feature extraction, classification of seven different emotions, and facial expression recognition in a real-time manner based on static images of the human face. In this regard, a Multi-Layer Perceptron (MLP) neural network is trained based on the foregoing algorithm. In order to classify human faces, first, some pre-processing is applied to the input image, which can localize and cut out faces from it. In the next step, a facial landmark detection library is used, which can detect the landmarks of each face. Then, the human face is split into upper and lower faces, which enables the extraction of the desired features from each part. In the proposed model, both geometric and texture-based feature types are taken into account. After the feature extraction phase, a normalized vector of features is created. A 3-layer MLP is trained using these feature vectors, leading to 96% accuracy on the test set. © 2022 IEEE.

关键词： Emotion Recognition

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KINECT UNBIASED

KINECT UNBIASED

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IEEE International Conference on Image Processing

作者： Manuel Martinez Rainer Stiefelhagen Karlsruhe Institute of Technology Institute for Anthropomatics and Robotics (IAR) Computer Vision for Human-Computer Interaction Lab

ISBN: (纸本)9781479957521

Since its release, Kinect has been the de facto standard for low-cost RGB-D sensors. An infrared laser ray shot through an holographic diffraction grating projects a fixed dot pattern which is captured using an infrared camera. The pseudo-random pattern ensures that a simple block matching algorithm suffices to provide reliable depth estimates, allowing a cost-effective implementation. In this paper, we analyze the software limitations of Kinect's method, which allows us to propose algorithms that provide better precision. First, we analyze the dot pattern: we measure its pincushion distortion and its effect on the dot density, which is smaller towards the edges of the image. Then, we analyze the behavior of Block Matching algorithms, we show how Kinect's Block Matching implementation is;in general;limited by the dot density of the pattern, and a significant spatial bias is introduced as a result. We propose an efficient approach to estimate the disparity of each dot, allowing us to produce a point cloud with better spatial resolution than Block Matching algorithms.

关键词： Kinect RGB-D Pattern Bias

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AI-Driven Relocation Tracking in Dynamic Kitchen Environments 14

AI-Driven Relocation Tracking in Dynamic Kitchen Environment...

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14th International Conference on computer and Knowledge Engineering, ICCKE 2024

作者： Esfahani, Arash Nasr Hosseini, Hamed Masouleh, Mehdi Tale Kalhor, Ahmad Sajedi, Hedieh Human and Robot Interaction Lab School of Electrical and Computer Engineering University of Tehran Tehran Iran School of Mathematics Statistics and Computer Science University of Tehran Tehran Iran

ISBN: (纸本)9798331511272

As smart homes become more prevalent in daily life, the ability to understand dynamic environments is essential which is increasingly dependent on AI systems. This study focuses on developing an intelligent algorithm which can navigate a robot through a kitchen, recognizing objects, and tracking their relocation. The kitchen was chosen as the testing ground due to its dynamic nature as objects are frequently moved, rearranged and replaced. Various techniques, such as SLAM feature-based tracking and deep learning-based object detection (e.g., Faster R-CNN), are commonly used for object tracking. Additionally, methods such as optical flow analysis and 3D reconstruction have also been used to track the relocation of objects. These approaches often face challenges when it comes to problems such as lighting variations and partial occlusions, where parts of the object are hidden in some frames but visible in others. The proposed method in this study leverages the YOLOv5 architecture, initialized with pre-trained weights and subsequently fine-tuned on a custom dataset. A novel method was developed, introducing a frame-scoring algorithm which calculates a score for each object based on its location and features within all frames. This scoring approach helps to identify changes by determining the best-associated frame for each object and comparing the results in each scene, overcoming limitations seen in other methods while maintaining simplicity in design. The experimental results demonstrate an accuracy of 97.72%, a precision of 95.83% and a recall of 96.84% for this algorithm, which highlights the efficacy of the model in detecting spatial changes. ©2024 IEEE.

关键词： Optical flows

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Personalization Trade-offs in Designing a Dialogue-based Information System for Support-Seeking of Sexual Violence Survivors 22

Personalization Trade-offs in Designing a Dialogue-based Inf...

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2022 CHI Conference on human Factors in Computing Systems, CHI 2022

作者： Kim, Hyeok Hwang, Youjin Lee, Jieun Kwon, Youngjin Park, Yujin Lee, Joonhwan Computer Science Northwestern University EvanstonIL United States Human-Computer Interaction+Design Lab. Seoul National University Seoul Korea Republic of

ISBN: (纸本)9781450391573

The lack of reliable, personalized information often complicates sexual violence survivors' support-seeking. Recently, there is an emerging approach to conversational information systems for support-seeking of sexual violence survivors, featuring personalization with wide availability and anonymity. However, a single best solution might not exist as sexual violence survivors have different needs and purposes in seeking support channels. To better envision conversational support-seeking systems for sexual violence survivors, we explore personalization trade-offs in designing such information systems. We implement a high-fidelity prototype dialogue-based information system through four design workshop sessions with three professional caregivers and interviewed with four self-identified survivors using our prototype. We then identify two forms of personalization trade-offs for conversational support-seeking systems: (1) specificity and sensitivity in understanding users and (2) relevancy and inclusiveness in providing information. To handle these trade-offs, we propose a reversed approach that starts from designing information and inclusive tailoring that considers unspecified needs, respectively. © 2022 ACM.

关键词： Information systems

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Semantic Visual Simultaneous Localization and Mapping: A Survey

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IEEE Transactions on Intelligent Transportation Systems 2025年第6期26卷 7426-7449页

作者： Chen, Kaiqi Xiao, Junhao Liu, Jialing Tong, Qiyi Zhang, Heng Liu, Ruyu Zhang, Jianhua Ajoudani, Arash Chen, Shengyong Zhejiang University of Technology Institute of Computer Vision College of Computer Science and Technology Hangzhou 310023 China Istituto Italiano di Tecnologia Human-Robot Interfaces and Interaction Laboratory Genoa 16163 Italy National University of Defense Technology College of Intelligence Science and Technology Changsha 410073 China Universitã di Genova Ph.D. Program of National Interest in Robotics and Intelligent Machines (DRIM) Genoa 16126 Italy Hangzhou Normal University School of Information Science and Technology Hangzhou 311121 China Technical University of Denmark Department of Technology Management and Economics Kongens Lyngby 2800 Denmark Tianjin University of Technology Institute of Computer Vision School of Computer Science and Engineering Tianjin 300384 China

Visual Simultaneous Localization and Mapping (vSLAM) is a cornerstone technology in computer vision and robotics, underpinning applications such as autonomous vehicles and robot navigation. While traditional vSLAM systems have shown significant progress in indoor or outdoor environments, their performance often degrades in complex scenes, limiting their adaptability and robustness. Semantic vSLAM, which integrates high-level semantic information into vSLAM systems, has emerged as a promising solution to address these limitations by enabling a richer understanding of the environment. In this paper, we provide a comprehensive review of semantic vSLAM, offering a critical analysis of its evolution, methods, and challenges. We begin by revisiting the development of traditional vSLAM, emphasizing its limitations and the motivation for incorporating semantic information. Subsequently, we delve into the core modules of semantic vSLAM, including semantic extraction, object association, semantic loop closing, back-end optimization, and semantic mapping. Then, we present a performance comparison of semantic vSLAM systems under two different datasets, indoor and outdoor, respectively. Furthermore, we also provide a comparative analysis of widely used SLAM datasets to provide guidance for performance testing and validation. To further enrich the discussion, we identify unresolved challenges in semantic vSLAM, such as long-term semantic perception and association, open and unstructured environments. We propose future research directions, including balancing computational resources and quantifying system risk, large model-based navigation and mapping, and embodied AI SLAM. By providing key insights and forward-looking perspectives, this work aims to stimulate future research and improve the capabilities of semantic vSLAM in real-world applications. © 2000-2011 IEEE.

关键词： localization mapping semantic information Semantic visual SLAM SLAM datasets

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SINQ: Scientific INQuiry Learning Using Social Media

SINQ: Scientific INQuiry Learning Using Social Media

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30th ACM Conference on human Factors in Computing Systems, CHI 2012

作者： Ahn, June Gubbels, Michael Kim, Jinyoung Wu, Johnny Human-Computer Interaction Lab College of Information Studies College of Education University of Maryland College ParkMD20742 United States Human-Computer Interaction Lab Department of Computer Science University of Maryland College ParkMD20742 United States College of Information Studies University of Maryland College ParkMD20742 United States

In this paper we describe SINQ, a prototype web application that utilizes social participation to guide learners through the scientific inquiry process. The paper outlines the challenges associated with scientific inquiry learning within natural environments, and describes initial research to leverage technology mediated social participation (TMSP) to scaffold inquiry learning. © 2012 Authors.

关键词： Scaffolds

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Contrasting portraits of email practices: Visual approaches to reflection and analysis 06

Contrasting portraits of email practices: Visual approaches ...

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AVI '06 - Working Conference on Advanced Visual Interfaces 2006

作者： Perer, Adam Smith, Marc A. Human-Computer Interaction Lab Department of Computer Science University of Maryland College Park MD 20742 Community Technologies Group Microsoft Research Redmond WA 98052

ISBN: (纸本)1595933530

Over time, many people accumulate extensive email repositories that contain detailed information about their personal communication patterns and relationships. We present three visualizations that capture hierarchical, correlational, and temporal patterns present in user's email repositories. These patterns are difficult to discover using traditional interfaces and are valuable for navigation and reflection on social relationships and communication history. We interviewed users with diverse email habits and found that they were able to interpret these images and could find interesting features that were not evident to them through their standard email interfaces. The images also capture a wide range of variation in email practices. These results suggest that information visualizations of personal communications have value for end-users and analysts alike. Copyright 2006 ACM.

关键词： Electronic mail

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The Twitter mute button: A web filtering challenge 12

The Twitter mute button: A web filtering challenge

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30th ACM Conference on human Factors in Computing Systems, CHI 2012

作者： Golbeck, Jennifer Human-Computer Interaction Lab. College of Information Studies University of Maryland College Park MD 20742 United States

ISBN: (纸本)9781450310154

The microblogging service Twitter has become an important, and sometimes primary, source of information for many users. As a forum for sharing news and discussing events, it can provide instant access to the latest updates, but this is not always welcome. In the case of television shows or live sporting events, for example, tweets about them may reveal spoilers to users in different time zones or who are delaying their viewing until later. More broadly, because Twitter is a broadcast medium, users may often want to temporarily or permanently hide content about a very specific given topic. In this paper, we describe the unique challenges to HCI, social computing, and computational linguistics posed by the task of building an interface that blocks all tweets about a specific event or topic. We illustrate some of the challenges through a pilot experiment run for three major television events: the 2009 NFC Championship football game, the 2010 mid-season finale of the show Glee, and the 2010 season premiere of the show 24. While simple techniques achieve very high recall (> 98%), spoilers still make it through the filter and precision is extremely poor. We conclude with a description of challenges to the community in implementing this new and increasingly important feature. Copyright 2012 ACM.

关键词： Social networking (online)

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Towards a design model for women's empowerment in the developing world 11

Towards a design model for women's empowerment in the develo...

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Proceedings of the SIGCHI Conference on human Factors in Computing Systems

作者： Shroff, Geeta Kam, Matthew Carnegie Mellon University Human-Computer Interaction Institute Human Development Lab. 5000 Forbes Avenue Pittsburgh PA 15213 United States

ISBN: (纸本)9781450302289

Pulitzer Prize-winning journalist Nicholas Kristof argues that "in this century the paramount moral challenge will be the struggle for gender equality around the world." In this paper, we present a design model for empowering low-income women in the developing world, in ways that cut across individual application areas. Specifically, this model characterizes a possible trajectory for NGOs and women to engage with each other and among themselves - potentially augmented by technology - to help women escape from poverty. The fieldwork components in this study took place over 15 weeks in three phases, with a total of 47 NGO staff members and 35 socio-economically challenged women in rural and urban India. Interviews and co-design sessions with seven proof-of-concept prototypes showed that women appeared to belong to five distinct stages of "growth" in striving towards independence. We report the technology design lessons from our co-design sessions to illustrate how user readiness, relationship building at the community and family levels, and integration with state, national and international level programs, should be taken into account in the broader context of intervention design. Copyright 2011 ACM.

关键词： Developing countries

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