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

作者： Dong, Yan Yu, Hanjie Chen, Yanran Zhang, Zipeng Qiong, Wu Department of Information Art & Design Academy of Arts & Design Tsinghua University Beijing China Pervasive Human Computer Interaction Laboratory Tsinghua University Beijing China

ISBN: (纸本)9798400713941

Integrating technology with the distinctive characteristics of craftsmanship has become a key issue in the field of digital craftsmanship. This paper introduces Layered interactions, a design approach that seamlessly merges human-computer interaction (HCI) technologies with traditional lacquerware craftsmanship. By leveraging the multi-layer structure and material properties of lacquerware, we embed interactive circuits and integrate programmable hardware within the layers, creating tangible interface that support diverse interactions. This method enhances the adaptability and practicality of traditional crafts in modern digital contexts. Through the development of a lacquerware toolkit, along with user experiments and semi-structured interviews, we demonstrate that this approach not only makes technology more accessible to traditional artisans but also enhances the materiality and emotional qualities of interactive interfaces. Additionally, it fosters mutual learning and collaboration between artisans and technologists. Our research introduces a cross-disciplinary perspective to the HCI community, broadening the material and design possibilities for interactive interfaces. © 2025 Copyright held by the owner/author(s).

关键词： Printing properties

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Beyond Coding: Empowering HRI Researchers with an Authoring Tool for Simplified VR Studies

Beyond Coding: Empowering HRI Researchers with an Authoring ...

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IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： André Helgert Sabrina C. Eimler Tom Gross Institute of Computer Science Ruhr West University of Applied Sciences Bottrop Germany Human-Computer Interaction Group University of Bamberg Bamberg Germany

ISBN: (数字)9798331521578

ISBN: (纸本)9798331521585

Although Virtual Reality (VR) is a promising tool in today's human-Robot interaction (HRI) research, the technical hurdle of creating high-quality and customized VR applications for one's own research prevents its comprehensive use. To address this problem, we present a VR authoring tool for HRI research, allowing non-technical researchers to create individual study designs in a simplified manner with predefined environments, robots, and measurement methods. Furthermore, the authoring tool has a highly modularized structure so that it can be adapted to a wide range of use cases. Technical details are presented, covering UI/UX decisions in the study design process and the visual programming interface for the creation of the interaction scheme of the robot, as well as the data management system that transfers researchers' study setups into a suitable VR application. The VR authoring tool is intended to bridge the gap between the practical applicability of VR as a research tool and the required technical implementation expertise for VR applications.

关键词： Visualization Authoring systems human-robot interaction Virtual reality Programming Encoding Artificial intelligence Robots

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Summit Vitals: Multi-Camera and Multi-Signal Biosensing at High Altitudes 10

Summit Vitals: Multi-Camera and Multi-Signal Biosensing at H...

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10th IEEE Smart World Congress, SWC 2024

作者： Liu, Ke Tang, Jiankai Jiang, Zhang Wang, Yuntao Liu, Xiaojing Li, Dong Shi, Yuanchun Qinghai University Department of Computer Technology and Applications Qinghai810016 China National Key Laboratory of Human Factors Engineering Beijing100094 China Tsinghua University Department of Computer Science and Technology Beijing100084 China

ISBN: (纸本)9798331520861

Video photoplethysmography (vPPG) is an emerging method for non-invasive and convenient measurement of physiological signals, utilizing two primary approaches: remote video PPG (rPPG) and contact video PPG (cPPG). Monitoring vitals in high-altitude environments, where heart rates tend to increase and blood oxygen levels often decrease, presents significant challenges. To address these issues, we introduce the SUMS dataset comprising 80 synchronized non-contact facial and contact finger videos from 10 subjects during exercise and oxygen recovery scenarios, capturing PPG, respiration rate (RR), and SpO2. This dataset is designed to validate video vitals estimation algorithms and compare facial rPPG with finger cPPG. Additionally, fusing videos from different positions (i.e., face and finger) reduces the mean absolute error (MAE) of SpO 2 predictions by 7. 6 % and 1 0. 6 % compared to only face and only finger, respectively. In cross-subject evaluation, we achieve an MAE of less than 0.5 BPM for HR estimation and 2. 5 % for SpO 2 estimation, demonstrating the precision of our multi-camera fusion techniques. Our findings suggest that simultaneous training on multiple indicators, such as PPG and blood oxygen, can reduce MAE in SpO 2 estimation by 1 7. 8 %. © 2024 IEEE.

关键词： Photoplethysmography

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A Technical User Study on an Authoring Tool for Simplifying VR Study Setups in HRI Research 20

A Technical User Study on an Authoring Tool for Simplifying ...

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20th Annual ACM/IEEE International Conference on human-Robot interaction, HRI 2025

作者： Helgert, André Eimler, Sabrina C. Gross, Tom Institute of Computer Science Ruhr West University of Applied Sciences Bottrop Germany Human-Computer Interaction Group University of Bamberg Bamberg Germany

ISBN: (纸本)9798350378931

This paper presents a novel virtual reality (VR) authoring tool designed to simplify the creation of human-robot interaction (HRI) studies. The tool was developed to lower the technical barriers in VR development and allows researchers to simulate complex robot interactions without the need for advanced programming skills. It incorporates key HRI methods such as the Wizard of Oz (WoZ) technique, eye-tracking and motion tracking, and provides a comprehensive platform for data collection and study customization. A technical user study with computer scientists was carried out to evaluate the technical applicability of the tool. The participants confirmed the user-friendliness, flexibility and accessibility of the tool and furthermore found the tool efficient and expressed a strong interest in using it for future research. The results underline the tool's potential to expand the use of VR in HRI research, especially for non-technical researchers. © 2025 IEEE.

关键词： Robot programming

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MODEL AGNOSTIC INTERPRETABILITY FOR MULTIPLE INSTANCE LEARNING 10

MODEL AGNOSTIC INTERPRETABILITY FOR MULTIPLE INSTANCE LEARNI...

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10th International Conference on Learning Representations, ICLR 2022

作者： Early, Joseph Evers, Christine Ramchurn, Sarvapali Agents Interaction and Complexity Group Department of Electronics and Computer Science University of Southampton United Kingdom

In Multiple Instance Learning (MIL), models are trained using bags of instances, where only a single label is provided for each bag. A bag label is often only determined by a handful of key instances within a bag, making it difficult to interpret what information a classifier is using to make decisions. In this work, we establish the key requirements for interpreting MIL models. We then go on to develop several model-agnostic approaches that meet these requirements. Our methods are compared against existing inherently interpretable MIL models on several datasets, and achieve an increase in interpretability accuracy of up to 30%. We also examine the ability of the methods to identify interactions between instances and scale to larger datasets, improving their applicability to real-world problems. © 2022 ICLR 2022 - 10th International Conference on Learning Representationss. All rights reserved.

关键词： Classification (of information)

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Vulnerability Dictionary: Language Use During Times of Crisis and Uncertainty 16th

Vulnerability Dictionary: Language Use During Times of Cris...

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16th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2023

作者： Hu, Wenjia Jin, Zhifei Carley, Kathleen M. Human-Computer Interaction Institute PittsburghPA15213 United States Software and Societal Systems Department Carnegie Mellon University PittsburghPA15213 United States

ISBN: (纸本)9783031431289

Studying the expression of vulnerability – the psychological state that arises in moments of uncertainty, risk, and emotional exposure – is key to understanding how individuals cope during time of crisis. In this study, we synthesize past theoretical and qualitative work on vulnerability and present a psycholinguistic dictionary featuring seven different lexicons commonly associated with vulnerability language: accusation, incompetence, lack of trust, riot, out-group speech, agency, and helplessness. To validate our dictionary, we apply the identified lexicons to three different datasets and then generate samples for evaluation by two independent human labelers. The comparison between the human-labeled and machine-generated results demonstrates the dictionary’s robustness, achieving a Cohen’s Kappa of 0.66 in inter-rater reliability among two labelers and an overall accuracy of 0.74 when treating human label as the ground truth. With the dictionary, we aim to provide a nuanced understanding and detection of vulnerability language on social media content and provide a foundation for text feature extraction for traditional machine learning methods. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Learning systems

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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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AMSFuse:Adaptive Multi-Scale Feature Fusion Network for Diabetic Retinopathy Classification

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computers, Materials & Continua 2025年第3期82卷 5153-5167页

作者： Chengzhang Zhu Ahmed Alasri Tao Xu Yalong Xiao Abdulrahman Noman Raeed Alsabri Xuanchu Duan Monir Abdullah School of Computer Science and Engineering Central South UniversityChangsha410083China School of Humanities Central South UniversityChangsha410083China Department of Human Anatomy and Histology & Embryology Basic Medical SciencesChangsha Health Vocational CollegeChangsha410100China Glaucoma Institute Changsha Aier Eye HospitalChangsha410000China Department of Computer Science and Artificial Intelligence College of Computing and Information TechnologyUniversity of BishaBisha67714Saudi Arabia

Globally,diabetic retinopathy(DR)is the primary cause of blindness,affecting millions of people *** widespread impact underscores the critical need for reliable and precise diagnostic techniques to ensure prompt diagnosis and effective *** learning-based automated diagnosis for diabetic retinopathy can facilitate early detection and ***,traditional deep learning models that focus on local views often learn feature representations that are less discriminative at the semantic *** the other hand,models that focus on global semantic-level information might overlook critical,subtle local pathological *** address this issue,we propose an adaptive multi-scale feature fusion network called(AMSFuse),which can adaptively combine multi-scale global and local features without compromising their individual ***,our model incorporates global features for extracting high-level contextual information from retinal ***,local features capture fine-grained details,such as microaneurysms,hemorrhages,and exudates,which are critical for DR *** global and local features are adaptively fused using a fusion block,followed by an Integrated Attention Mechanism(IAM)that refines the fused features by emphasizing relevant regions,thereby enhancing classification accuracy for DR *** model achieves 86.3%accuracy on the APTOS dataset and 96.6%RFMiD,both of which are comparable to state-of-the-art methods.

关键词： Diabetic retinopathy multi-scale feature fusion global features local features integrated attention mechanism retinal images

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A Technical User Study on an Authoring Tool for Simplifying VR Study Setups in HRI Research 25

A Technical User Study on an Authoring Tool for Simplifying ...

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ACM/IEEE International Conference on human-Robot interaction (HRI)

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

关键词： Authoring systems Tracking human-robot interaction Virtual reality Gaze tracking Programming Data collection Robots

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Technical Feasibility, Financial Viability, and Clinician Acceptance: On the Many Challenges to AI in Clinical Practice

Technical Feasibility, Financial Viability, and Clinician Ac...

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AAAI 2021 Fall Symposium on human Partnership with Medical AI: Design, Operationalization, and Ethics, AAAI-human 2021

作者： Yildirim, Nur Zimmerman, John Preum, Sarah Human-Computer Interaction Institute Carnegie Mellon University United States Computer Science Department Dartmouth College

Artificial intelligence (AI) applications in healthcare offer the promise of improved decision making for clinicians, and better healthcare outcomes for patients. While technical AI advances in healthcare showcase impressive performances in lab settings, they seem to fail when moving to clinical practice. In this position paper, we reflect on our experiences of designing for AI acceptance and discuss three interrelated challenges to AI in clinical practice: technical feasibility, financial viability, and clinician acceptance. We discuss each challenge and their implications for future research in clinical AI. We encourage the research community to take on these lenses in collaboratively tackling the challenges of moving AI systems into real-world healthcare applications. Copyright © 2021, for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Decision making

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