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arXiv 2024年

作者： Zhu, Lizhen Wang, James Z. Lee, Wonseuk Wyble, Brad Data Science and Artificial Intelligence Area College of Information Sciences and Technology The Pennsylvania State University University ParkPA United States Human-Computer Interaction Area College of Information Sciences and Technology The Pennsylvania State University University ParkPA United States Department of Communication and Media School of Social Sciences and Humanities Loughborough University Leicestershire Loughborough United Kingdom Department of Computer Science and Engineering The Pennsylvania State University University ParkPA United States Department of Psychology The Pennsylvania State University University ParkPA United States

Visual learning often occurs in a specific context, where an agent acquires skills through exploration and tracking of its location in a consistent environment. The historical spatial context of the agent provides a similarity signal for self-supervised contrastive learning. We present a unique approach, termed Environmental Spatial Similarity (ESS), that complements existing contrastive learning methods. Using images from simulated, photorealistic environments as an experimental setting, we demonstrate that ESS outperforms traditional instance discrimination approaches. Moreover, sampling additional data from the same environment substantially improves accuracy and provides new augmentations. ESS allows remarkable proficiency in room classification and spatial prediction tasks, especially in unfamiliar environments. This learning paradigm has the potential to enable rapid visual learning in agents operating in new environments with unique visual characteristics. Potentially transformative applications span from robotics to space exploration. Our proof of concept demonstrates improved efficiency over methods that rely on extensive, disconnected datasets. Copyright © 2024, The Authors. All rights reserved.

关键词： computer vision

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Constrained maximum weighted bipartite matching:a novel approach to radio broadcast scheduling

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science China(Information sciences) 2019年第7期62卷 156-169页

作者： Shaojiang WANG Tianyong WU Yuan YAO Dongbo BU Shaowei CAI State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of Sciences School of Computer Science and Technology University of Chinese Academy of Sciences Beijing Key Lab of Human-Computer Interaction Institute of SoftwareChinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences

Given a set of radio broadcast programs, the radio broadcast scheduling problem is to allocate a set of devices to transmit the programs to achieve the optimal sound quality. In this article, we propose a complete algorithm to solve the problem, which is based on a branch-and-bound(BnB) algorithm. We formulate the problem with a new model, called constrained maximum weighted bipartite matching(CMBM),i.e., the maximum matching problem on a weighted bipartite graph with constraints. For the reduced matching problem, we propose a novel BnB algorithm by introducing three new strategies, including the highest quality first, the least conflict first and the more edge first. We also establish an upper bound estimating function for pruning the search space of the algorithm. The experimental results show that our new algorithm can quickly find the optimal solution for the radio broadcast scheduling problem at small scales, and has higher scalability for the problems at large scales than the existing complete algorithm.

关键词： radio broadcast scheduling branch-and-bound algorithm constrained maximum weighted bipartite matching Kuhn-Munkres algorithm strategy combinations

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Textessence: A tool for interactive analysis of semantic shifts between corpora

arXiv

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arXiv 2021年

作者： Newman-Griffis, Denis Sivaraman, Venkatesh Perer, Adam Fosler-Lussier, Eric Hochheiser, Harry Department of Biomedical Informatics University of Pittsburgh United States Human-Computer Interaction Institute Carnegie Mellon University United States Department of Computer Science and Engineering Ohio State University United States

Embeddings of words and concepts capture syntactic and semantic regularities of language;however, they have seen limited use as tools to study characteristics of different corpora and how they relate to one another. We introduce TextEssence, an interactive system designed to enable comparative analysis of corpora using embeddings. TextEssence includes visual, neighbor-based, and similarity-based modes of embedding analysis in a lightweight, web-based interface. We further propose a new measure of embedding confidence based on nearest neighborhood overlap, to assist in identifying high-quality embeddings for corpus analysis. A case study on COVID-19 scientific literature illustrates the utility of the system. TextEssence is available from https://***/drgriffis/text-essence. Copyright © 2021, The Authors. All rights reserved.

关键词： Embeddings

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MSA-GCN:Multiscale Adaptive Graph Convolution Network for Gait Emotion Recognition

arXiv

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arXiv 2022年

作者： Yin, Yunfei Jing, Li Huang, Faliang Yang, Guangchao Wang, Zhuowei The School of of Computer Science and Technology Chongqing University Chongqing China Guangxi Key Lab of Human-Machine Interaction and Intelligent Decision Nanning Normal University Nanning530001 China Faculty of Engineering and Information Technology University of Technology Sydney Australia

Gait emotion recognition plays a crucial role in the intelligent system. Most of the existing methods recognize emotions by focusing on local actions over time. However, they ignore that the effective distances of different emotions in the time domain are different, and the local actions during walking are quite similar. Thus, emotions should be represented by global states instead of indirect local actions. To address these issues, a novel MultiScale Adaptive Graph Convolution Network (MSA-GCN) is presented in this work through constructing dynamic temporal receptive fields and designing multiscale information aggregation to recognize emotions. In our model, a adaptive selective spatial-temporal graph convolution is designed to select the convolution kernel dynamically to obtain the soft spatiotemporal features of different emotions. Moreover, a Cross-Scale mapping Fusion Mechanism (CSFM) is designed to construct an adaptive adjacency matrix to enhance information interaction and reduce redundancy. Compared with previous state-of-the-art methods, the proposed method achieves the best performance on two public datasets, improving the mAP by 2%. We also conduct extensive ablations studies to show the effectiveness of different components in our methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Emotion Recognition

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Incremental Feature Selection for Dynamic Incomplete Data Using Sub-Tolerance Relations

SSRN

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SSRN 2023年

作者： Zhao, Jie Ling, Yun See-To, Wing-Kuen Eric Huang, Faliang Wang, Jiahai School of Management Guangdong University of Technology Guangzhou China Department of Computing and Decision Sciences Faculty of Business Lingnan University Hong Kong Guangxi Key Lab of Human-machine Interaction and Intelligent Decision Nanning Normal University Nanning China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China

Feature selection is an important problem in Rough Set and is widely used in data analysis. The extended theory of tolerance relations can effectively deal with the realistic problem of incomplete data. However, the space and time complexity of computing the positive region using TRS increases dramatically. Simultaneously, redundant features are allowed to enter the feature subset, resulting in poor classification accuracy, because the positive region-based significance measure neglects uncertain information. To overcome these drawbacks, this paper introduces a subrelation-based tolerance class (STC) approach. STC transforms the TRS positive region calculation into a two-stage certainty measurement of objects, and thus divides the entire universe into two regions of certainty and uncertainty at each stage, by decomposing the tolerance relation into two subrelations. The computational space is reduced by progressively filtering out of the regions of certainty. Using STC, a new incremental mechanism is proposed. Furthermore, we propose a new significance measure using both certain and uncertain information, which effectively reduces the number of redundant features and subsequently improves computational efficiency and classification accuracy. Experiments on real data sets and comparisons with existing algorithms have been conducted to verify the superiority of the method. © 2023, The Authors. All rights reserved.

关键词： Feature Selection

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Evaluating the Benefits of the Immersive Space to Think

Evaluating the Benefits of the Immersive Space to Think

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Lee Lisle Xiaoyu Chen J.K. Edward Gitre Chris North Doug A. Bowman Department of Computer Science Center for Human-Computer Interaction Grado Department of Industrial and Systems Engineering Virginia Tech Department of History Virginia Tech Center for Human-Computer Interaction

ISBN: (数字)9781728165325

ISBN: (纸本)9781728165332

Sensemaking with large multimedia dataset is a cognitively intensive task that requires analysts to understand the underlying stories that the dataset tells. Often, analysts use tools in order to offload cognition as well as convey their new understanding of the dataset; however, existing tools are limited by their underlying technologies. We have proposed a novel virtual reality tool to support sensemaking called the Immersive Space to Think (IST). IST can aid the process of analyzing multimedia data, but it remains unproven whether IST improves sensemaking performance over a traditional desktop setting. In a study performed over six weeks, one participant used both IST and traditional methods of sensemaking with a dataset of 100 text documents of transcribed survey responses from World War 2 soldiers to perform historical analysis. The participant was asked guided questions that produced three essays with their understanding of the data. After conducting a blind evaluation of the participant’s interpretation of the data, a team of three experts in historical analysis concluded that the essays written with IST displayed a better understanding of the dataset. Furthermore, the participant gave positive feedback on IST, and also suggested possible improvements.

关键词： Tools Visualization Task analysis human computer interaction Virtual reality Three-dimensional displays Information analysis

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The Implementation of Digital Gamification in English Classroom: Teachers’ and Students’ Perspectives 22

The Implementation of Digital Gamification in English Classr...

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Proceedings of the 2022 5th International Conference on Education Technology Management

作者： Nur Syarafana Bt Johan Kew Si Na Zaidatun Tasir Tieng Wei Koh Tze Wei Liew Sze Seau Lee Faculty of Social Science and Humanities Universiti Teknologi Malaysia Malaysia Faculty of Social Science and Humanities Universiti Teknologi Malaysia Malaysia and National Institute of Education (NIE) Nanyang Technological University Singapore Singapore Faculty of Computer Science and Information Technology Universiti Putra Malaysia Malaysia Human-Centric Technology Interaction SIG Multimedia University Malaysia FACULTY OF SOCIAL SCIENCES & LIBERAL ARTS UCSI University Malaysia

ISBN: (纸本)9781450398015

Teaching English is one of many challenging subjects to teach. English teachers have always been trying different methods to maximize students’ proficiency and competency in the targeted language as it plays an important role in many aspects, especially in education. Some teachers have sorted to adapt the digital gamification method into their English classroom instruction. Furthermore, teaching using digital gamification is a relatively new concept. In the learning context, digital gamification is an educational method that incorporates game-like elements into the classroom to increase student engagement, promotes a learning environment with positive motivation, and benefits student performance. Research pertaining to digital gamification is growing but very limited study has yet to examine both perspectives of the teachers and the students towards its implementation and how it can influence the engagement level and performance outcomes in a Malaysian context. To urge this matter into the light, this research intended 1) to investigate the teachers’ and students’ perspectives towards the implementation of digital gamification in English classrooms on an engagement level; 2) to investigate the teachers' and students’ perspectives towards the implementation of digital gamification in English classrooms on performance outcomes. Adapting the quantitative research method, an online questionnaire consisting of 3 discrete sections to answer the research questions was distributed to 86 respondents from the high schools in Malaysia. Then, using SPSS version 27 the responses from the participants were processed to derive the numerical data such as the frequencies, means, average means, and the standard deviation. The main research findings indicated that both teachers and students have a positive perception of the implementation of digital gamification in the English classroom as it greatly improved the degree of engagement and performance outcome. The finding suggested that

关键词： Gamification Kahoot Perspective Quizizz Teacher Student

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Reducing Uncertainty and Offering Comfort: Designing Technology for Coping with Interpersonal Racism 21

Reducing Uncertainty and Offering Comfort: Designing Technol...

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Proceedings of the 2021 CHI Conference on human Factors in Computing Systems

作者： Alexandra To Hillary Carey Geoff Kaufman Jessica Hammer Art + Design and Khoury College of Computer Science Northeastern University United States School of Design Carnegie Mellon University United States Human-Computer Interaction Institute Carnegie Mellon University United States

ISBN: (纸本)9781450380966

Ranging from subtle to overt, unintentional to systemic, navigating racism is additional everyday work for many people. Yet the needs of people who experience racism have been overlooked as a fertile ground for better technology. Through a series of workshops we call Foundational Fiction, we engaged BIPOC (Black, Indigenous, People of Color) in participatory design to identify qualities of technology that can support people coping before, during, and after a racist interaction. Participants developed storyboards for digital tools that offer advice, predict consequences, identify racist remarks and intervene, educate both targets and perpetrators about interpersonal and systemic racism, and more. In the paper we present our workshop method utilizing interactive fiction, participants’ design concepts, prevalent themes (reducing uncertainty and offering comfort), and we provide critical analysis of the complexity of technology in these contexts. This work identifies specific opportunities for exploring anti-racist social tools.

关键词： interactive fiction design workshops microaggressions participatory design racism uncertainty

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A human-human Physical interaction System for Training Handwriting

A Human-Human Physical Interaction System for Training Handw...

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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： S. Buscaglione A. Noccaro C. Provenzale C. Bonsignori E. Ivanova L. Sparaci F. Taffoni E. Burdet D. Formica NEXT: Neurophysiology and Neuroengineering of Human-Technology Interaction Research Unit Università Campus Bio-Medico di Roma Italy Neurorobotics Lab Newcastle University Newcastle Upon Tyne UK Advanced Robotics and Human-Centred Technologies-CREO Laboratory Università Campus Bio-Medico di Roma Italy Department of Bioengineering Imperial College of Science Technology and Medicine UK School of Electric Engineering and Computer Science Queen Mary University of London UK Institute of Cognitive Sciences and Technologies (ISTC) National Research Council of Italy (CNR) Italy

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

Handwriting training in childhood is known to influence academic success, foster self-esteem, and contribute to overall development. Previous studies underscored the positive impact of haptic feedback on handwriting learning using one-way communication systems that provided the trainee with haptic feedback based on pre-recorded trainer's movements. In this study, we propose a system involving bidirectional physical coupling (haptic communication) between a trainee and a trainer to exploit the advantages of haptic communication for motor task improvement, proved in tracking tasks. The system, composed of an interactive display and a coupling spring, was tested in a handwriting task performed by a dyad of healthy adults with different cursive handwriting backgrounds. The participants' performance demonstrated the feasibility of using this system for handwriting, opening the way for further studies to assess its benefits in handwriting improvement and learning.

关键词： Training Couplings Tracking Communication systems Biomechatronics Motors Haptic interfaces Springs Robots

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Exploiting aliasing for manga restoration

arXiv

引用

arXiv 2021年

作者： Xie, Minshan Xia, Menghan Wong, Tien-Tsin Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology SIAT CAS

As a popular entertainment art form, manga enriches the line drawings details with bitonal screentones. However, manga resources over the Internet usually show screentone artifacts because of inappropriate scanning/rescaling resolution. In this paper, we propose an innovative twostage method to restore quality bitonal manga from degraded ones. Our key observation is that the aliasing induced by downsampling bitonal screentones can be utilized as informative clues to infer the original resolution and screentones. First, we predict the target resolution from the degraded manga via the Scale Estimation Network (SENet) with spatial voting scheme. Then, at the target resolution, we restore the region-wise bitonal screentones via the Manga Restoration Network (MR-Net) discriminatively, depending on the degradation degree. Specifically, the original screentones are directly restored in pattern-identifiable regions, and visually plausible screentones are synthesized in pattern-agnostic regions. Quantitative evaluation on synthetic data and visual assessment on real-world cases illustrate the effectiveness of our method. Copyright © 2021, The Authors. All rights reserved.

关键词： Restoration

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