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CharacterCritique: Supporting Children's Development of Critical Thinking through Multi-Agent Interaction in Story Reading 25

CharacterCritique: Supporting Children's Development of Crit...

引用

2025 CHI Conference on Human Factors in computing systems, CHI 2025

作者： Wang, Zizhen Pan, Jiangyu Jin, Duola Zhang, Jingao Cao, Jiacheng Zhang, Chao Li, Zejian Hansen, Preben Zhao, Yijun Sun, Shouqian Qiao, Xianyue Zhejiang University Hangzhou China Cornell University IthacaNY United States School of Software Technology Zhejiang University Ningbo China Dept of Computer and Systems Sciences Stockholm University Kista Sweden College of Computer Science Zhejiang University Hangzhou China Innovation Center of Yangtze River Delta Zhejiang University Hangzhou China

ISBN: (纸本)9798400713941

Critical thinking plays a crucial role in children's education for fostering cognitive development, cultivating independent thinking habits, and enhancing their ability to problem-solving. However, the current educational model places greater emphasis on children's understanding of factual knowledge, with relatively less focus on developing critical thinking skills. We present CharacterCritique to support children's critical thinking based on the theory of inquiry dialogue. This tool uses an analytical story as the medium, it encourages dialogue between parents, children, and story characters. Through this process, children continuously engage in interpretation, analysis, explanation, evaluation, and regulation, all of which promote critical thinking and decision-making. Such interaction is supported by multiple agents. In our between-subjects study (n=32), we compared CharacterCritique to traditional storybook reading. The results show that CharacterCritique is more effective at sparking children's interest in deeper discussions. It also better fosters critical thinking, problem-solving skills, and creates more opportunities for parent-child dialogue. © 2025 Copyright held by the owner/author(s). Publication rights licensed to acm.

关键词： Decision making

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Who am I, and who are you, and who are we? A Scientometric analysis of Gender and Geography in HCI 22

Who am I, and who are you, and who are we? A Scientometric A...

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CHI Conference on Human Factors in computing systems (CHI)

作者： Mckay, Dana Zhang, Huiwen Buchanan, George RMIT Univ Melbourne Vic Australia Univ Melbourne iSchool Melbourne Vic Australia

ISBN: (纸本)9781450391573

Conference authorship, attendance and presentation is a key measure of quality in the HCI academic, yet we know conferences are not equally accessible for reasons that have nothing to do with quality. In this paper we examine two axes of diversity: gender, and geographic location (of both authors and conferences) and examine how they affect participation at major HCI conferences. Diversity in a group is associated with better outcomes from its work, and HCI has made numerous contributions to increasing representation in other communities. Reflecting on our own situation can produce recommendations for the planning of future HCI conferences, and identify challenges of representation that the HCI community should endeavor to address.

关键词： Equity diversity gender geography authorship in HCI

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XAIxArts Manifesto: Explainable AI for the Arts

XAIxArts Manifesto: Explainable AI for the Arts

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2025 CHI Conference on Human Factors in computing systems, CHI EA 2025

作者： Bryan-Kinns, Nick Zheng, Shuoyang Castro, Francisco Lewis, Makayla Chang, Jia-Rey Vigliensoni, Gabriel Broad, Terence Clemens, Michael Paul Wilson, Elizabeth Creative Computing Institute University of the Arts London London United Kingdom Centre for Digital Music Queen Mary University of London London United Kingdom New York University New YorkNY United States Kingston University London London United Kingdom Queen’s University Belfast Belfast United Kingdom Concordia University MontréalQC Canada Kahlert School of Computing University of Utah Salt Lake CityUT United States

ISBN: (纸本)9798400713958

Explainable AI (XAI) is concerned with how to make AI models more understandable to people. To date these explanations have predominantly been technocentric - mechanistic or productivity oriented. This paper introduces the Explainable AI for the Arts (XAIxArts) manifesto to provoke new ways of thinking about explainability and AI beyond technocentric discourses. Manifestos offer a means to communicate ideas, amplify unheard voices, and foster reflection on practice. To supports the co-creation and revision of the XAIxArts manifesto we combine a World Café style discussion format with a living manifesto to question four core themes: 1) Empowerment, Inclusion, and Fairness;2) Valuing Artistic Practice;3) Hacking and Glitches;and 4) Openness. Through our interactive living manifesto experience we invite participants to actively engage in shaping this XIAxArts vision within the CHI community and beyond. © 2025 Copyright held by the owner/author(s).

关键词： Ambient intelligence

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Towards Securely Migrating WebAssembly Enclaves 22

Towards Securely Migrating WebAssembly Enclaves

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15th European Workshop on systems Security (EuroSec)

作者： Pop, Vasile Adrian Bogdan Niemi, Arto Manea, Valentin Rusanen, Antti Ekberg, Jan-Erik Huawei Technol Oy Helsinki Finland

ISBN: (纸本)9781450392556

To run services in Trusted Execution Environments and Secure Enclaves is an established approach to protect privacy-sensitive data or payment processing. The increased importance of service elasticity in e.g. cloud computing, but also between edge and cloud, highlights the need of (hardware) architecture agnostic secure migration of such processing. We present an enclave software design, based on a WebAssembly (WASM) runtime, that allows for secure migration of enclave services with integrity and confidentiality guarantees for both enclave code and software state (data). We provide security analysis for our migration approach, and architecture benchmarking for a wide variety of existing (and future) secure enclave hardware as proof that elasticity in computation-without compromising security-is an achievable goal.

关键词： Trusted computing Secure enclave Enclave migration

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Evaluation of a collaborative reading annotation system through multimodal data analysis

Evaluation of a collaborative reading annotation system thro...

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Extended Abstracts of the 2023 CHI Conference on Human Factors in computing systems, CHI EA 2023

作者： Liu, Lili Zhang, Lishan Shu, Yan Wang, Shuwen Wu, Han Xv, Min Faculty of Artificial Intelligence in Education Central China Normal University Wuhan China School of Chinese Language and Literature Central China Normal University Wuhan China

ISBN: (纸本)9781450394222

Technological advances and the explosion of epidemics have contributed to a surge in the number of online learning platforms. Because single modal data is often not enough in evaluating the usability of interface interaction design for online learning platforms and multimodal data (eye movement, Electroencephalogram, skin conductance response) with advanced sensing technologies provide new possibilities to address this issue, this case study explores how multimodal data can be used to evaluate the interface design for our self-developed collaborative reading system. The results of our randomized between-subject experiments showed that, from eye movement analysis, constructive-level annotations prompt students to allocate more attention to the annotation area than active level annotations and facilitate the transition between the annotation and reading areas. From EEG data analysis, all the students stayed high concentration levels no matter the types of annotations they were reading. From SCRs analysis, although no significant difference in the level of excitement between experimental conditions was identified, students showed great individual difference within the same conditions. This study illustrated how multimodal data can be applied to interface design evaluation. © 2023 Owner/Author.

关键词： Electroencephalography

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Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical systems

Dynamic Regret Minimization for Control of Non-stationary Li...

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作者： Luo, Yuwei Gupta, Varun Kolar, Mladen Stanford University 655 Knight Way Stanford United States University of Chicago 5807 S. Woodlawn Ave. ChicagoIL60637 United States

We consider the problem of controlling a Linear Quadratic Regulator (LQR) system over a finite horizon T with fixed and known cost matrices Q,R, but unknown and non-stationary dynamics At, Bt. The sequence of dynamics matrices can be arbitrary, but with a total variation, V_T, assumed to be o(T) and unknown to the controller. Under the assumption that a sequence of stabilizing, but potentially sub-optimal controllers is available for all t, we present an algorithm that achieves the optimal dynamic regret of O(V T2/5 T3/5). With piecewise constant dynamics, our algorithm achieves the optimal regret of O(sqrtST) where S is the number of switches. The crux of our algorithm is an adaptive non-stationarity detection strategy, which builds on an approach recently developed for contextual Multi-armed Bandit problems. We also argue that non-adaptive forgetting (e.g., restarting or using sliding window learning with a static window size) may not be regret optimal for the LQR problem, even when the window size is optimally tuned with the knowledge of VT. The main technical challenge in the analysis of our algorithm is to prove that the ordinary least squares (OLS) estimator has a small bias when the parameter to be estimated is non-stationary. Our analysis also highlights that the key motif driving the regret is that the LQR problem is in spirit a bandit problem with linear feedback and locally quadratic cost. This motif is more universal than the LQR problem itself, and therefore we believe our results should find wider application. © 2022 acm.

关键词： Dynamics

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acm 2022 - proceedings of the Algorithms, computing and Mathematics Conference 2022

ACM 2022 - Proceedings of the Algorithms, Computing and Math...

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2022 Algorithms, computing and Mathematics Conference, acm 2022

The proceedings contain 11 papers. The topics discussed include: multiple ensembling techniques for monitoring the physical activities and predicting the performance of the students;a comprehensive review of influence node identification in complex networks;improving lifestyle of visually impaired people using virtual reality;algorithm for optimization in medical image processing applied in heterogeneous architecture;application of real-time operating systems in the design of medical devices;smart farming using artificial intelligence;optimized cluster centroids for segmentation of skin cancer using triangular intuitionistic fuzzy sets;analog and digital RoF spatial Mux MIMO-LTE system based A2 (arithmetic Aquila) optimization model for 5G network;comparison of state - of - art deep learning algorithms for detecting cyberbullying in twitter;and stock market technical analysis using Japanese candlesticks and machine learning.

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Poster: Optimizing Radio Tomography with Edge computing: A Low-Latency Approach for Human Detection 25

Poster: Optimizing Radio Tomography with Edge Computing: A L...

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proceedings of the 23rd acm Conference on Embedded Networked Sensor systems

作者： Michał Maj Tomasz Rymarczyk Michał Styła Tomasz Cieplak Damian Pliszczuk Jakub Pizoń WSEI University Lublin Poland Research and Development Center Netrix S.A. Lublin Poland Faculty of Management Lublin University of Technology Lublin Poland

ISBN: (纸本)9798400714795

This paper presents the first edge computing framework for RTI systems combining intermediate sensor fusion with model quantization. Traditional RTI approaches [1] rely on centralized architectures (450 ms latency), while our key innovations enable 73% faster edge processing (120 ms) through hybrid ResNet architecture compressed via 8-bit quantization and intermediate fusion of RTI attenuation maps and RGB features. Our work introduces an on-device processing pipeline implemented on low-power IoT devices---including Jetson Nano, Raspberry Pi, and ESP32---that enables real-time inference without cloud-based *** our proposed system, radio tomography data is integrated with RGB camera input using an intermediate fusion strategy. This approach addresses RTI's inherent low spatial resolution and the "blob effect" by combining complementary features extracted from both modalities [2]. Optimized deep learning models---enhanced through model quantization, TensorRT acceleration, and lightweight inference techniques---are employed to efficiently meet the constraints of embedded hardware while maintaining high detection *** show 94.2% accuracy vs 92.5% in cloud systems with 67% lower energy use 5.5W vs 15W. First implementation of realtime RGB-RTI fusion on edge devices, outperforming SOTA edge-RTI by 18% in latency. These findings underscore the potential for deploying privacy-preserving, low-power, and real-time human detection systems in smart buildings, security applications, and IoT-based occupancy monitoring.

关键词： radio tomography

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"I Don't Know Why I Should Use This App": Holistic analysis on User Engagement Challenges in Mobile Mental Health 25

"I Don't Know Why I Should Use This App": Holistic Analysis ...

引用

2025 CHI Conference on Human Factors in computing systems, CHI 2025

作者： Jin, Seungwan Kim, Bogoan Han, Kyungsik Department of Data Science Hanyang University Seoul Korea Republic of

ISBN: (纸本)9798400713941

Over the past decade, mobile apps have been widely adopted as a digital intervention method for mental health support, offering scalable and accessible solutions to address the growing global mental health challenges. However, sustaining user engagement in real-world settings remains a major challenge in the development of these applications. This study systematically examines factors that hinder user engagement in existing mobile mental health support systems through a scoping review of the literature. After an initial identification of 1,267 papers, we conducted a final analysis of 111 empirical studies using mobile app-based mental health support systems. The study investigates the main factors that negatively affect user engagement from user and system perspectives. Based on these findings, we propose guidelines for sustaining and enhancing user engagement and for structuring personalized emotional interaction design along three dimensions: adaptive, continuous, and multimodal interactions. Furthermore, we discuss the potential for integration with advanced AI methods (e.g., LLM-based generative AI agents) as a way to achieve these design implications and suggestions. Our results provide critical insights for enhancing long-term user engagement in the development of future mental health support systems. © 2025 Copyright held by the owner/author(s).

关键词： mHealth

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Analog Signals Period, Frequency and Phase Shift measurement Based on Reconfigurable Modules in Technical Diagnostics systems

Analog Signals Period, Frequency and Phase Shift Measurement...

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2023 International Russian Automation Conference, RusAutoCon 2023

作者： Sergey, Levoniuk Larisa, Ginis Larisa, Gordienko Southern Federal University Dept. of Information Measuring Technologies and Systems Taganrog Russia

ISBN: (纸本)9798350345551

The report substantiates the feasibility of using reconfigurable modules (R-modules) National Instruments Corporation (NI) for measuring the values of controlled parameters and subsequent processing of the data obtained during diagnostics of complex technical systems. A wide range of controlled parameters, as well as a large volume of input measurement information and the need for its analysis in real time when conducting diagnostics of complex technical systems leads to the need to use complicated measuring and computing complexes for acquisition and processing input data. It is possible to simplify the solution of the problem of measuring and analyzing input data by implementing measurements and data processing using optimal hardware and software. Algorithms for determining the period, frequency and phase shift of bipolar analog signals are proposed and their simulation is carried out using the LabVIEW NI graphical programming environment. Virtual instruments for measuring the period, frequency and phase shift of signals based on NI I/O R-modules have been investigated and developed using LabVIEW. The advantage of this approach is the use of standard hardware based on industrial or personal computers and R-modules programmed by LabVIEW for the development of technical diagnostics systems. © 2023 IEEE.

关键词： Real time systems

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