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Meetor: A human-centered Automatic Video Editing System for Meeting Recordings

ACM TRANSACTIONS ON MULTIMEDIA computing COMMUNICATIONS AND APPLICATIONS 2024年第9期20卷 1-23页

作者： Duan, Haihan Liao, Junhua Lin, Lehao EL Saddik, Abdulmotaleb Cai, Wei Shenzhen MSU BIT Univ Shenzhen Peoples R China Chinese Univ Hong Kong Shenzhen Peoples R China Mohamed bin Zayed Univ Artificial Intelligence Masdar City U Arab Emirates Sichuan Univ Chengdu Peoples R China Univ Ottawa Ottawa ON Canada

Widely adopted digital cameras and smartphones have generated a large number of videos, which have brought a tremendous workload to video editors. Recently, a variety of automatic/semi-automatic video editing methods have been proposed to tackle these issues in some specific areas. However, for the production of meeting recordings, the existing studies highly depend on extra equipment in the conference venues, such as the infrared camera or special microphone, which are not practical. In this article, we design and implement Meetor, a human-centered automatic video editing system for meeting recordings. The Meetor mainly contains three parts: an audio-based video synchronization algorithm, human-centered video content flaw detection algorithms, and an automatic video editing algorithm. Two main experiments are conducted from both objective and subjective aspects to evaluate the performance of the Meetor. The experimental results on a testbed illustrate that the proposed algorithms could achieve state-of-the-art (SOTA) performance in video content flaw detection. However, the conducted user study demonstrates that Meetor could generate meeting recordings with a satisfactory quality compared with professional video editors. Moreover, we also present a practical application of the Meetor in a university campus prototype, in which the Meetor is applied in the automatic editing of lecture recordings. All in all, the proposed Meetor can be utilized in practical applications to release the workload of professional video editors.

关键词： Automatic video editing meeting recording human-centered computing

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Capacitive Sensing for Improving Contact Rendering With Tangible Objects in VR

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IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2021年第4期27卷 2481-2487页

作者： de Tinguy, Xavier Pacchierotti, Claudio Lecuyer, Anatole Marchal, Maud Univ Rennes INSA IRISA InriaCNRS 35042 F-35042 Rennes France Univ Rennes CNRS INRIA IRISA 35042 F-35042 Rennes France Inst Univ France IUF F-75005 Paris France

We combine tracking information from a tangible object instrumented with capacitive sensors and an optical tracking system, to improve contact rendering when interacting with tangibles in VR. A human-subject study shows that combining capacitive sensing with optical tracking significantly improves the visuohaptic synchronization and immersion of the VR experience.

关键词： Optical sensors Tracking Synchronization Capacitive sensors Haptic interfaces Electrodes Rendering (computer graphics) Haptic rendering human computer interaction sensors human-centered computing

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Learning Situation Models in a Smart Home

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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 2009年第1期39卷 56-63页

作者： Brdiczka, Oliver Crowley, James L. Reignier, Patrick Xerox Corp Palo Alto Res Ctr Palo Alto CA 94304 USA Inst Natl Resch Informat & Automat INRIA Rhone Al PRIMA Res Grp F-38334 Saint Ismier France Inst Natl Polytech Grenoble F-38031 Grenoble 1 France Univ Grenoble 1 F-38041 Grenoble 9 France

This paper addresses the problem of learning situation models for providing context-aware services. Context for modeling human behavior in a smart environment is represented by a situation model describing environment, users, and their activities. A framework for acquiring and evolving different layers of a situation model in a smart environment is proposed. Different learning methods are presented as part of this framework: role detection per entity, unsupervised extraction of situations from multimodal data, supervised learning of situation representations, and evolution of a predefined situation model with feedback. The situation model serves as frame and support for the different methods, permitting to stay in an intuitive declarative framework. The proposed methods have been integrated into a whole system for smart home environment. The implementation is detailed, and two evaluations are conducted in the smart home environment. The obtained results validate the proposed approach.

关键词： Context awareness human-centered computing machine learning situation modeling situation split

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An adaptation of SCRUM for accessible websites development focused on testing

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UNIVERSAL ACCESS IN THE INFORMATION SOCIETY 2024年 1-10页

作者： Rodriguez-Gonzalez, Jonnathan Romero-Chacon, Victor Muir-Camacho, Harry Naranjo-Zeledon, Luis Chacon-Rivas, Mario Costa Rica Inst Technol Inclutec Cartago Costa Rica

Both research and development of accessible websites are attempts at improving the quality of life of people with disabilities. Some of them focus on aligning with the Web Content Accessibility Guidelines (WCAG). Poor quality of content on some websites may cause rejection from users with disabilities, and the development and testing processes to ensure accessibility are often complex. This paper presents the actual experience of implementing an adaptation of SCRUM that assists in constructing and testing accessible websites continuously in the software life cycle, controlling usability and accessibility errors in a timely manner. This approach is innovative because it fosters implementation and testing of accessibility in software more quickly and with greater flexibility. Two use cases are presented, namely "Information System of Costa Rica on the Disability" (SICID, by its acronym in Spanish) and National Board of the Blind (PANACI, by its acronym in Spanish).

关键词： human-centered computing Accessibility Web Standards Scrum agile methodology Web accessibility Automatic accessibility tests

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Controlling camera movement in VR colonography

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VIRTUAL REALITY 2022年第3期26卷 1079-1088页

作者： Paulo, Soraia F. Medeiros, Daniel Lopes, Daniel Jorge, Joaquim Univ Lisbon Inst Super Tecn INESC ID Lisboa Av Prof Dr Cavaco Silva P-2744016 Porto Salvo Portugal Univ Glasgow Glasgow Lanark Scotland

Immersive colonography allows medical professionals to navigate inside the intricate tubular geometries of subject-specific 3D colon images using Virtual Reality displays. Typically, camera travel is performed via Fly-Through or Fly-Over techniques that enable semi-automatic traveling through a constrained, well-defined path at user-controlled speeds. However, Fly-Through is known to limit the visibility of lesions located behind or inside haustral folds. At the same time, Fly-Over requires splitting the entire colon visualization into two specific halves. In this paper, we study the effect of immersive Fly-Through and Fly-Over techniques on lesion detection and introduce a camera travel technique that maintains a fixed camera orientation throughout the entire medial axis path. While these techniques have been studied in non-VR desktop environments, their performance is not well understood in VR setups. We performed a comparative study to ascertain which camera travel technique is more appropriate for constrained path navigation in immersive colonography and validated our conclusions with two radiologists. To this end, we asked 18 participants to navigate inside a 3D colon to find specific marks. Our results suggest that the Fly-Over technique may lead to enhanced lesion detection at the cost of higher task completion times. Nevertheless, the Fly-Through method may offer a more balanced trade-off between speed and effectiveness, whereas the fixed camera orientation technique provided seemingly inferior performance results. Our study further provides design guidelines and informs future work.

关键词： Virtual reality Colonography Navigation Medical imagery human-centered computing

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Inward VR: Toward a Qualitative Method for Investigating Interoceptive Awareness in VR

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IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2023年第5期29卷 2557-2566页

作者： Haley, Alexander C. Thorpe, Don Pelletier, Alex Yarosh, Svetlana Keefe, Daniel F. Univ Minnesota Minneapolis MN 55455 USA

lmmersive virtual reality (VR) technologies can produce powerful illusions of being in another place or inhabiting another body, and theories of presence and embodiment provide valuable guidance to designers of VR applications that use these illusions to "take us elsewhere." However, an increasingly common design goal for VR experiences is to develop a deeper awareness of the internal landscape of one's own body (i.e., interoceptive awareness);here, design guidelines and evaluative techniques are less clear. To address this, we present a methodology, including a reusable codebook, for adapting the five dimensions of the Multidimensional Assessment of Interoceptive Awareness (MAIA) conceptual framework to explore interoceptive awareness in VR experiences via qualitative interviews. We report results from a first exploratory study (n=21) applying this method to understand the interoceptive experiences of users in a VR environment. The environment includes a guided body scan exercise with a motion-tracked avatar visible in a virtual mirror and an interactive visualization of a biometric signal detected via a heartbeat sensor. The results provide new insights on how this example VR experience might be refined to better support interoceptive awareness and how the methodology might continue to be refined for understanding other "inward-facing" VR experiences.

关键词： Biological control systems Pain Visualization Mirrors Behavioral sciences Heart beat Avatars human-centered computing human computer interaction (HCI) Interaction paradigms Virtual reality

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Integration of the HL7 Standard in a Multiagent System to Support Personalized Access to e-Health Services

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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2011年第8期23卷 1244-1260页

作者： De Meo, Pasquale Quattrone, Giovanni Ursino, Domenico Univ Mediterranea Reggio Calabria DIMET I-89122 Reggio Di Calabria Italy

In this paper, we present a multiagent system to support patients in search of healthcare services in an e-health scenario. The proposed system is HL7-aware in that it represents both patient and service information according to the directives of HL7, the information management standard adopted in medical context. Our system builds a profile for each patient and uses it to detect Healthcare Service Providers delivering e-health services potentially capable of satisfying his needs. In order to handle this search it can exploit three different algorithms: the first, called PPB, uses only information stored in the patient profile;the second, called DS-PPB, considers both information stored in the patient profile and similarities among the e-health services delivered by the involved providers;the third, called AB, relies on A*, a popular search algorithm in Artificial Intelligence. Our system builds also a social network of patients;once a patient submits a query and retrieves a set of services relevant to him, our system applies a spreading activation technique on this social network to find other patients who may benefit from these services.

关键词： Intelligent agents multiagent systems healthcare human-centered computing knowledge personalization and customization HL7 personalized search of services

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AtoMixer: Atom-based interactive visual exploration of traffic surveillance data

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JOURNAL OF COMPUTER LANGUAGES 2019年 53卷 53-62页

作者： Sun, Guodao Zhao, Yin Cao, Dizhou Li, Jianyuan Liang, Ronghua Liu, Yipeng Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou Zhejiang Peoples R China Zhejiang Univ Technol Coll Informat Engn Hangzhou Zhejiang Peoples R China Enjoyer CO LTD Hangzhou Zhejiang Peoples R China

Massive traffic surveillance data extracted from vehicle detectors such as cameras provide essential information for revealing urban traffic pattern. However, most existing tools only allow users to analyze the data in specific time periods and regions with particular requirements. In this paper, we work closely with traffic domain experts and investigate a novel way of reframing visual traffic analysis tasks into the combinations of various atom categorical/numerical features and visual presentation. The categorical features contain primitive attributes such as vehicle type, O/D status and driving direction, and the numerical features contains information such as vehicle frequency and speed. The combination of above features includes four basic operations, namely and, or, xor and not to support diversified user requirements. Basic and advanced visualization methods such as trajectory view and flow distribution view are provided to demonstrate the combination results. Through interactive assembling of various atom operations, analysts could derive different query conditions to meet existed and potential upcoming analysis requirements such as locating suspicious vehicles (e.g., fake plate vehicles). Furthermore, AtoMixer, a visual analytic system is developed to support spatio-temporal investigative tasks for traffic surveillance data. We evaluate the effectiveness and scalability of our approach with real world traffic surveillance data.

关键词： human-centered computing Visual analytics Visual query

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Enricommender: Business Intelligence for User Interface Design

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INTERACTING WITH COMPUTERS 2024年第1期37卷 1-17页

作者： Ciarrone, Alexis Leiva, Luis A. Dubiel, Mateusz Univ Luxembourg Luxembourg Luxembourg

Graphical user interface (GUI) browsing and retrieval tools are becoming essential to interaction design research and practice. These tools allow GUI designers to browse large amounts of data and recover inspiring or relevant designs for their task. Unfortunately, data-driven market analysis or business intelligence (BI) applied to GUIs have mostly been left aside. To address this research gap, we elicit designers' needs and responses regarding the development of Enricommender, a high-fidelity prototype of a market analysis recommender and reporting system. We identify and discuss key design challenges, as reported by more than 200 real-world designers, as well as their workflows and overall expectations towards such a BI system. Ultimately, this article sets the foundation for developing future GUI-oriented BI applications.

关键词： Graphical User Interfaces Comparative analysis Requirements engineering ACM CCS2 Keywords: Information systems Business intelligence human-centered computing Systems and tools for interaction design.

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Bridging the Gap in Computer Security Warnings: A Mental Model Approach

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IEEE SECURITY & PRIVACY 2011年第2期9卷 18-26页

作者： Bravo-Lillo, Cristian Cranor, Lorrie Faith Downs, Julie S. Komanduri, Saranga Carnegie Mellon Univ CyLab Usable Privacy & Secur Lab Pittsburgh PA 15213 USA Carnegie Mellon Univ Ctr Risk Percept & Commun Dept Social & Decis Sci Pittsburgh PA 15213 USA Carnegie Mellon Univ Sch Comp Sci Pittsburgh PA 15213 USA

Computer security warnings are intended to protect users and their computers. However, research suggests that these warnings might be largely ineffective because they're frequently ignored. The authors describe a mental model interview study designed to gain insight into how advanced and novice computer users perceive and respond to computer warnings. Developers can leverage the approaches of advanced users to design more effective warnings for novice users.

关键词： Cognitive science Computers Privacy Electronic mail Computer security Receivers human-centered computing Computer security User profiles and alert services human information processing

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