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Collaborative Framework for circRNA-Disease Associations Prediction using Dual Variational Graph

IEEE Transactions on Big Data 2025年

作者： Liu, Changchun Wang, Lei Zhao, Bowei Wei, Mengmeng Li, Yang Lu, Mianshuo Wei, Yu Liang, Sizhe The School of Computer Science and Technology China University of Mining and Technology Xuzhou221116 China Key Lab of Human-machine Interaction and Intelligent Decision Guangxi Acad emy of Science Nanning530007 China The School of Computer Science and Information Engineer ing Hefei University of Technology Hefei230601 China The College of Computer and Information Science School of Software University of Chinese Academy of Sciences Urumqi830011 China

Many experiments have shown that circular RNA (circRNA) can act as biomarkers for complex diseases and play significant regulatory roles in multiple pathological processes. However, most circRNA-disease associations remain unknown, and discovering these associations through biological experimental approach is expensive and time-consuming. Taking into account the shortcomings of current methods, we introduce a new collaborative framework that utilizes multi-heterogeneous graphs, along with variational graph auto-encoders (VGAE) to predict associations between circRNA and diseases. First, we build multi-similarity networks using various biological attributes of circRNA and diseases, and integrate these similarity networks. Two subnetworks are constructed from association matrix and combined similarity network, which included a circRNA-based network and a disease-based network. We then employ random walk with restart and Singular Value Decomposition, for feature extraction from the similarity matrix. Finally, we use collaborative framework to predict the circRNA-disease association scores based on the two subnetworks. We integrate the two score matrices to obtain a final prediction scoring matrix. Using 5-fold cross-validation on the CircR2Disease dataset, our model achieved an AUC score of 0.9828 and an AUPR score of 0.9820. Additionally, among the top 30 highest-scoring circRNA-disease association pairs, 26 associations have already been validated. Our model shows strong performance and can accurately predict associations between circRNA and diseases, according to experimental results. © 2015 IEEE. All rights reserved.

关键词： Variational techniques

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Finding Our Joy: Queer Perspectives on HCI Research

Finding Our Joy: Queer Perspectives on HCI Research

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2025 CHI Conference on human Factors in Computing Systems, CHI EA 2025

作者： O’Reilly-Kime, Molly Feng, Yifan Cipelli, Francesca Osipova, Ekat Kender, Kay Steeds, Madeleine Clinch, Sarah Rubegni, Elisa Rode, Jennifer School of Computing & Communications Lancaster University Lancaster United Kingdom Knowledge Lab. University College London London United Kingdom Creative Computing Institute University of the Arts London London United Kingdom Catholic University of the Sacred Heart Milan Italy Crip Collective Human-Computer Interaction Group TU Wien Vienna Austria Smurfit Business School University College Dublin Dublin Ireland Department of Computer Science The University of Manchester Manchester United Kingdom School of Computing and Communication Lancaster University Lancaster United Kingdom

ISBN: (纸本)9798400713958

How do we make space for joy in Queer HCI? This work draws on our authors’ experiences as Queer researchers and allies, navigating a field that is ostensibly receptive to our work, yet provides a narrow framework for acceptable research. We relate personal accounts of contending with identity, practice, and publication;we discuss what joy means to us, and the gap we see in Queer HCI where joy should exist. We believe that Queer HCI and research can itself be subversive, and assert that it needs to be in order for our research community to flourish. Our work emerges from a need for Queer joy in our research practice, and we approach Queerness as a multifaceted experience that by nature resists the categorisation that we often see in HCI. Finally, we present reflective guidelines for future work, that will allow us achieve inclusive, intentional, and joyful research. © 2025 Copyright held by the owner/author(s).

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Challenging Futures: Using Chatbots to Reflect on Aging and Dementia 25

Challenging Futures: Using Chatbots to Reflect on Aging and ...

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2025 CHI Conference on human Factors in Computing Systems, CHI 2025

作者： Khot, Rucha Arets, Teis Wester, Joel Burger, Franziska Van Berkel, Niels Brankaert, Rens Ijsselsteijn, Wijnand Lee, Minha Industrial Design Eindhoven University of Technology Eindhoven Netherlands Human-Technology Interaction Eindhoven University of Technology Eindhoven Netherlands Department of Computer Science Aalborg University Aalborg Denmark Industrial Design Engineering University of Ghent Ghent Belgium Tranzo Tilburg University Tilburg Netherlands Fontys School of Applied Sciences Eindhoven Netherlands Centrum Wiskunde & Informatica Amsterdam Netherlands

ISBN: (纸本)9798400713941

Intertemporal reflection, flexibly thinking forward and backward in time, is vital for one's future planning. Yet, cultivating intertemporal reflection about encountering difficult futures, e.g., developing a progressive cognitive condition like dementia, can be challenging. We assessed people's attitudes towards dementia following conversing with a chatbot presented as either neurotypical or simulating dementia symptoms. While neither the chatbot's presentation nor the framing of participants' future selves impacted attitudes toward dementia, it influenced participants' experiences. When framed as future selves, the chatbot evoked a strong emotional connection, leading to reflection on aging, particularly with the chatbot simulating dementia symptoms. Participants interacting with the chatbot framed as a stranger with simulated symptoms often felt frustrated, especially when they had a task-oriented *** can be promising tools for prompting reflections on challenging futures, such as dementia, although their effectiveness varies due to the tensions between simulated cognitive decline and expectations for effective communication. © 2025 Copyright held by the owner/author(s).

关键词： Attitudes Dementia GPT-4 LLM Reflection

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CompAct: Designing Interconnected Compliant Mechanisms with Targeted Actuation Transmissions 25

CompAct: Designing Interconnected Compliant Mechanisms with ...

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2025 CHI Conference on human Factors in Computing Systems, CHI 2025

作者： Yang, Humphrey Shen, I-Chao Martelaro, Nikolas Zhu, Bo Xie, Haoran Igarashi, Takeo Yao, Lining Human-Computer Interaction Institute Carnegie Mellon University Pittsburgh PA United States The University of Tokyo Graduate School of Information Science and Technology Tokyo Japan Georgia Institute of Technology Atlanta GA United States JAIST Ishikawa Japan The University of Tokyo Tokyo Japan Mechanical Engineering Department University of California Berkeley Berkeley CA United States

ISBN: (纸本)9798400713941

Compliant mechanisms enable the creation of compact and easy-to-fabricate devices for tangible interaction. This work explores interconnected compliant mechanisms consisting of multiple joints and rigid bodies to transmit and process displacements as signals that result from physical interactions. As these devices are difficult to design due to their vast and complex design space, we developed a graph-based design algorithm and computational tool to help users program and customize such computational functions and procedurally model physical designs. When combined with active materials with actuation and sensing capabilities, these devices can also render and detect haptic interaction. Our design examples demonstrate the tool's capability to respond to relevant HCI concepts, including building modular physical interface toolkits, encrypting tangible interactions, and customizing user augmentation for accessibility. We believe the tool will facilitate the generation of new interfaces with enriched affordance. © 2025 Copyright held by the owner/author(s).

关键词： compliant mechanism design tool shape-changing interface Tangible interface

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The Mobile Office: A Mobile AR Systems for Productivity Applications in Industrial Environments 13th

The Mobile Office: A Mobile AR Systems for Productivity Appl...

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13th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2021, Held as Part of the 23rd HCI International Conference, HCII 2021

作者： Linares Garcia, Daniel Antonio Dongre, Poorvesh Roofigari-Esfahan, Nazila Bowman, Doug A. Department of Building Construction Virginia Tech BlacksburgVA24060 United States Department of Computer Science Virginia Tech BlacksburgVA24060 United States Center for Human-Computer Interaction Virginia Tech BlacksburgVA24060 United States

ISBN: (纸本)9783030775988

This article proposes the Mobile Office, an AR-Based System for productivity applications in industrial environments. It focuses on addressing workers’ needs while mobilizing in complex environments and when workers want to do productive work similar to a workstation setting. For this purpose, the Mobile Office relies on a bi-modal approach (mobile and static modes) to addresses both scenarios while considering critical aspects such as UI, ergonomics, interaction, safety, and cognitive user abilities. Its development relies first on a systematic literature review for establishing guidelines and system aspects. Then AR-UI mockups are presented to incorporate literature and authors’ expertise in this area. Three hardware configurations are also presented for the implementation of the Mobile Office. Validation of the Mobile Office was made through a survey to potential users that provided their feedback about their perceptions of proposed system. The survey results revealed concordance of critical aspects of particular importance for effective productivity support on the Mobile Office’s focus scenarios. We incorporated these critical aspects and suggested future research direction for the Mobile Office’s further development and significance. © 2021, Springer Nature Switzerland AG.

关键词： Augmented reality

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Global and Transdisciplinary Perspectives on Dark Patterns and Deceptive Design Practice

Global and Transdisciplinary Perspectives on Dark Patterns a...

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2025 CHI Conference on human Factors in Computing Systems, CHI EA 2025

作者： Seaborn, Katie Gray, Colin M. Gunawan, Johanna Mildner, Thomas Schäfer, René Chamorro, Lorena Sanchez Nakamura, Satoshi Department of Industrial Engineering and Economics Institute of Science Tokyo Tokyo Japan UXP2 Lab. Indiana University Bloomington IN United States Law and Tech Lab. Maastricht University Maastricht Netherlands University of Bremen Bremen Germany RWTH Aachen University Aachen Germany Human-Computer Interaction Research Group University of Luxembourg Esch-Sur-Alzette Luxembourg Meiji University School of Interdisciplinary Mathematical Sciences Nakano Tokyo Japan

ISBN: (纸本)9798400713958

Dark patterns and deceptive designs (DPs) refer to user interfaces (UIs) that trick people into interactions that benefit the service providers. Today, academic research, legal action, and media coverage has raised awareness among a diversity of stakeholders worldwide. Yet, the lens has focused on Western and English contexts. We propose a Special Interest Group (SIG) that centres on cross-cultural and interdisciplinary engagement. The organizing team, who hail from a plurality of nations and disciplines, will spark discussion by sharing their knowledge—findings, frameworks, methods, and tools—and culturally-sensitive perspectives on deception in modern digital products and services. Attendees will participate in a small group drawing activity, whereby culturally-specific DPs and disciplinary perspectives can be surfaced and communicated without reliance on a specific language or cultural frame. This SIG is expected to draw in a diversity of designers, researchers, security experts, and legal scholars concerned about ethical design practice. © 2025 Copyright held by the owner/author(s).

关键词： Dark Patterns Deceptive Design Ethics Manipulative User Interfaces Regulation

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Sonic Delights: Exploring the Design of Food as An Auditory-Gustatory Interface 25

Sonic Delights: Exploring the Design of Food as An Auditory-...

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2025 CHI Conference on human Factors in Computing Systems, CHI 2025

作者： Deng, Jialin Li, Yinyi Wang, Hongyue Fang, Ziqi Mueller, Florian School of Computer Science University of Bristol Bristol United Kingdom Exertion Games Lab Department of Human-Centred Computing Monash University Melbourne VIC Australia Royal College of Art London United Kingdom Imperial College London London United Kingdom

ISBN: (纸本)9798400713941

While interest in blending sound with culinary experiences has grown in human-Food interaction (HFI), the significance of food's material properties in shaping sound-related interactions has largely been overlooked. This paper explores the opportunity to enrich the HFI experience by treating food not merely as passive nourishment but as an integral material in computational architecture with input/output capabilities. We introduce "Sonic Delights,"where food is a comestible auditory-gustatory interface to enable users to interact with and consume digital sound. This concept redefines food as a conduit for interactive auditory engagement, shedding light on the untapped multisensory possibilities of merging taste with digital sound. An associated study allowed us to articulate design insights for forthcoming HFI endeavors that seek to weave food into multisensory design, aiming to further the integration of digital interactivity with the culinary arts. © 2025 Copyright held by the owner/author(s).

关键词： Edible Interface Food Design human-Food interaction

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A great disturbance in the crypto:Understanding cryptocurrency returns under attacks

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Blockchain(Research and Applications) 2021年第3期2卷 68-78页

作者： Simona Ramos Fabio Pianese Thomas Leach Ester Oliveras Augmented Machine Interaction team AI Research LabNokia Bell LabsParis-SaclayNozay 91620France Department of Computer Science Universitat Pompeu FabraBarcelona 08002Spain Department of Economics Universita di PaviaPavia 27100Italy

A non-traditional type of financial asset,cryptocurrencies based on public blockchains are still little understood in their real-world *** events such as cyber-attacks and their media coverage can strongly affect their supply and demand,adoption and usage,efficiency,and infrastructural development,thus influencing their price stability and market *** the great technical complexity of blockchains,we believe that a pure economic analysis of risks associated with cryptocurrencies is simply not sufficient to convey the relationships between attacks and the disruptive effects that these can bring on the operation of *** these grounds,we survey the most common types of attacks for Proof-of-Work(PoW)cryptocurrencies and evaluate their impact on the returns of a number of real-world cryptocurrencies for which market data are *** to data availability,our event study analysis focuses on instances of 51% attacks,hard forks,and wallet *** main goal of our analysis is to understand the relationship between technical events(cyber-attacks and coordinated user/miner behavior)and the economic impacts surrounding *** aim to develop a deeper understanding of these systems that are objects of great research interest in separate disciplines,supporting policymakers in their regulatory decisions concerning crypto-assets and associated cyber-related financial risks.

关键词： Blockchain Cryptocurrencies Event studies Cyber attacks

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How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies

arXiv

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arXiv 2025年

作者： Ran, Zihe Fan, Xianzhe Li, Xiyu Li, Franklin Mingzhe Lu, Zhicong Xiao, Qing Wang, Yanyun Communication University of China Beijing China Tsinghua University Beijing China Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Department of Computer Science George Mason University FairfaxVA United States College of Media Communication and Information University of Colorado Boulder BoulderCO United States

As blind and low-vision (BLV) players engage more deeply with games, accessibility features have become essential. While some research has explored tools and strategies to enhance game accessibility, the specific experiences of these players with mobile games remain underexamined. This study addresses this gap by investigating how BLV users experience mobile games with varying accessibility levels. Through interviews with 32 experienced BLV mobile players, we explore their perceptions, challenges, and strategies for engaging with mobile games. Our findings reveal that BLV players turn to mobile games to alleviate boredom, achieve a sense of accomplishment, and build social connections, but face barriers depending on the game’s accessibility level. We also compare mobile games to other forms of gaming, highlighting the relative advantages of mobile games, such as the inherent accessibility of smartphones. This study contributes to understanding BLV mobile gaming experiences and provides insights for enhancing accessible mobile game design. Copyright © 2025, The Authors. All rights reserved.

关键词： Game design

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ExplainitAI: When do we trust artificial intelligence? The influence of content and explainability in a cross-cultural comparison

arXiv

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arXiv 2025年

作者： Kang, Sora Potinteu, Andreea-Elena Said, Nadia Human-Computer Interaction+Design Lab Seoul National University Seoul Korea Republic of Perception and Action Lab Leibniz-Institut für Wissensmedien Tübingen Germany Applied Cognitive Psychology Department of Psychology University of Tübingen Tübingen Germany

This study investigates cross-cultural differences in the perception of AI-driven chatbots between Germany and South Korea, focusing on topic dependency and explainability. Using a custom AI chat interface, ExplainitAI, we systematically examined these factors with quota-based samples from both countries (N = 297). Our findings revealed significant cultural distinctions: Korean participants exhibited higher trust, more positive user experience ratings, and more favorable perception of AI compared to German participants. Additionally, topic dependency was a key factor, with participants reporting lower trust in AI when addressing societally debated topics (e.g., migration) versus health or entertainment topics. These perceptions were further influenced by interactions among cultural context, content domains, and explainability conditions. The result highlights the importance of integrating cultural and contextual nuances into the design of AI systems, offering actionable insights for the development of culturally adaptive and explainable AI tailored to diverse user needs and expectations across domains. © 2025, CC BY-NC-SA.

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