Computer Supported Cooperative Work-The Journal of Collaborative Computing最新文献

英文中文

Designing Biodiversity Systems via Digital Kinships: Insights from Community Data Processes and Creative Practice. 通过数字亲缘关系设计生物多样性系统：来自社区数据处理和创造性实践的见解。

IF 2.3 3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2025-01-01 Epub Date: 2025-06-16 DOI: 10.1007/s10606-025-09524-2

Michelle Westerlaken

This study details how digital biodiversity data is used and gains meaning in local restoration projects, how these experiences contrast with large-scale innovation patterns, and what new design recommendations emerge from these insights. Digital innovations in biodiversity technologies are increasingly complex, fast-paced, and driven by technological capacities where data generation rather than biodiversity restoration risks becoming the primary goal. Focusing on a biodiversity restoration project with a living lab community in the Netherlands, this participatory research critically examines how plans for emerging technologies, such as biodiversity simulations and digital twins, contrast with local user relations to biodiversity data. Building on qualitative insights from six-months of fieldwork, a digital and physical data portal was designed to simulate ongoing technoscientific innovation and make their complex effects experientially available to users. Findings are brought directly in conversation with emerging technical features through four distinct themes with the aim to share user-insights and produce design recommendations for: environmental storytelling, prediction and future making, interactive dynamics, and simulation aesthetics. These themes articulate the community's preferences towards digital environments that support their nuanced, complex relationships with local biodiversity, suggesting a shift from top-down technocentric approaches to more community-driven and restoration-focused models. Based on this study, design recommendations are articulated for each of these four themes contributing detailed empirical and practice-oriented insights that propose how new biodiversity technologies can resonate more effectively with local biodiversity restoration efforts.

Supplementary information: The online version contains supplementary material available at 10.1007/s10606-025-09524-2.

本研究详细介绍了数字生物多样性数据如何在地方恢复项目中使用和获得意义，这些经验与大规模创新模式的对比，以及从这些见解中产生的新的设计建议。生物多样性技术的数字创新日益复杂、快节奏，并受到技术能力的驱动，其中数据生成而不是生物多样性恢复风险成为主要目标。这项参与性研究以荷兰的一个生物多样性恢复项目为重点，批判性地考察了新兴技术（如生物多样性模拟和数字孪生）的计划如何与当地用户与生物多样性数据的关系进行对比。基于六个月实地考察的定性见解，设计了一个数字和物理数据门户，以模拟正在进行的技术创新，并将其复杂的效果以体验的方式提供给用户。研究结果通过四个不同的主题直接与新兴技术特征进行对话，旨在分享用户的见解并提出设计建议：环境故事，预测和未来制定，互动动态和模拟美学。这些主题阐明了社区对数字环境的偏好，这些环境支持它们与当地生物多样性之间微妙而复杂的关系，这表明从自上而下的以技术为中心的方法向更多以社区驱动和恢复为中心的模式转变。在此基础上，针对这四个主题提出了设计建议，并提供了详细的经验和实践导向的见解，提出了新的生物多样性技术如何更有效地与当地生物多样性恢复工作产生共鸣。补充资料：在线版本提供补充资料，网址为10.1007/s10606-025-09524-2。

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引用次数: 0

Dimensions of Human-Machine Combination: Prompting the Development of Deployable Intelligent Decision Systems for Situated Clinical Contexts. 人机结合的维度：促进临床情境下可部署智能决策系统的发展。

IF 2.3 3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2025-01-01 Epub Date: 2025-04-14 DOI: 10.1007/s10606-025-09514-4

Ben Wilson, Chiara Natali, Matt Roach, Darren Scott, Alma Rahat, David Rawlinson, Federico Cabitza

Whilst it is commonly reported that healthcare is set to benefit from advances in Artificial Intelligence (AI), there is a consensus that, for clinical AI, a gulf exists between conception and implementation. Here we advocate the increased use of situated design and evaluation to close this gap, showing that in the literature there are comparatively few prospective situated studies. Focusing on the combined human-machine decision-making process - modelling, exchanging and resolving - we highlight the need for advances in exchanging and resolving. We present a novel relational space - contextual dimensions of combination - a means by which researchers, developers and clinicians can begin to frame the issues that must be addressed in order to close the chasm. We introduce a space of eight initial dimensions, namely participating agents, control relations, task overlap, temporal patterning, informational proximity, informational overlap, input influence and output representation coverage. We propose that our awareness of where we are in this space of combination will drive the development of interactions and the designs of AI models themselves. Designs that take account of how user-centered they will need to be for their performance to be translated into societal and individual benefit.

虽然人们普遍报道，医疗保健将受益于人工智能（AI）的进步，但人们一致认为，对于临床人工智能，概念和实施之间存在鸿沟。在这里，我们提倡更多地使用情境设计和评估来缩小这一差距，表明在文献中有相对较少的前瞻性情境研究。重点关注人机联合决策过程-建模，交换和解决-我们强调在交换和解决方面取得进展的必要性。我们提出了一种新的关系空间——结合的语境维度——通过这种方式，研究人员、开发人员和临床医生可以开始构建必须解决的问题，以弥合鸿沟。我们引入了一个由八个初始维度组成的空间，即参与主体、控制关系、任务重叠、时间模式、信息接近、信息重叠、输入影响和输出表示覆盖。我们认为，我们对自己在这个组合空间中的位置的认识，将推动交互的发展和人工智能模型本身的设计。考虑到如何以用户为中心的设计，才能将其性能转化为社会和个人利益。

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引用次数: 0

Text-based Patient – Doctor Discourse Online And Patients’ Experiences of Empathy 基于文本的在线医患话语与患者共情体验

3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2023-10-19 DOI: 10.1007/s10606-023-09481-8

Silja Martikainen, Laura Kohonen-Aho, Niina Seittenranta, Emilia Makkonen, Mari Falcon, Valtteri Wikström, Katri Saarikivi

Abstract Empathic responding matters in face-to-face medical consultations. We have previously shown that patients' perceptions of doctor empathy also support positive experiences at an online clinic. However, there is still little knowledge about what types of communication influence patients’ online experiences of empathy. In this study we investigated text-based patient-doctor discourse at an online clinic using an adaptation of the Roter Interaction Analysis System (RIAS). Our aims were 1) to assess the reliability of the adapted RIAS 2) to investigate what characteristics are common during the text-based consultations and 3) to examine how the doctor’s discourse relates to the patients’ experience of empathy online. Based on the inter-rater reliability analyses the conversational clusters of Social ( ρ = 0.950), Biomedical ( ρ = 0.939), and Technology related talk ( ρ = 0.833), Procedural statements ( ρ = 0.693) and Agreement ( ρ = 0.687) were rated with acceptable reliability. Biomedical topics were most common in both patients’ and doctors’ communication. Patients’ experience of doctors’ empathy was positively correlated with the amount of doctor’s psychosocial talk and procedural statements although the effect sizes were small ( ρ < 0.30 for all models). These results encourage the use of personal talk and giving clear instructions to patients about the care process at a text-based online clinic focusing on brief consultations.

移情反应在面对面医疗咨询中的作用。我们之前的研究表明，患者对医生同理心的感知也支持在线诊所的积极体验。然而，对于哪些类型的沟通会影响患者的在线共情体验，我们仍然知之甚少。在本研究中，我们使用Roter交互分析系统(RIAS)对在线诊所中基于文本的医患对话进行了调查。我们的目的是:1)评估改编后的RIAS的可靠性;2)调查在基于文本的咨询中常见的特征;3)检查医生的话语与患者在线共情体验之间的关系。基于信度分析，社会(ρ = 0.950)、生物医学(ρ = 0.939)和技术相关谈话(ρ = 0.833)、程序性陈述(ρ = 0.693)和一致性(ρ = 0.687)的会话簇被评为可接受信度。在医患双方的交流中，生物医学话题最为常见。患者对医生共情的体验与医生的心理社会谈话和程序陈述的数量呈正相关，尽管效应量很小(ρ <所有型号为0.30)。这些结果鼓励使用个人谈话，并在以简短咨询为重点的基于文本的在线诊所中向患者提供关于护理过程的明确指示。

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引用次数: 0

Agency, Power and Confrontation: the Role for Socially Engaged Art in CSCW with Rurban Communities in Support of Inclusion 代理、权力和对抗:社会参与艺术在支持城市社区包容的农村生活中的作用

3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2023-10-07 DOI: 10.1007/s10606-023-09482-7

Maria Murray, Nadia Pantidi, John McCarthy

引用次数: 0

Data as Relation: Ontological Trouble in the Data-Driven Public Administration 作为关系的数据:数据驱动的公共管理中的本体论问题

3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2023-09-30 DOI: 10.1007/s10606-023-09480-9

Brit Ross Winthereik

Abstract This paper examines how the intense focus on data in political digitalization strategies takes effect in practice in a Danish municipality. Building on an ethnographic study of data-driven management, the paper argues that one of the effects of making data a driver for organizational decision-making is uncertainty as to what data are and can be taken to mean. While in political discourse and strategies, data are considered as a resource for collaboration across organizational units as well as for optimization of their performance, in practice, data are not this straightforward entity. The paper presents a kind of data work that identifies data as part of different worlds (ontologies). The management task that results from this is nurturing organizational spaces that articulate data as relational. The paper argues that being attentive to the troublesome experiences public sector employees have when encountering data may help mitigate some of the risks of seeing data merely as a resource. The paper concludes that as public sector managers learn to nurture spaces where differences in data can be articulated, they also protect core values of welfare bureaucracies. Acknowledging that data work is about what we take to be real and what not (ontological work) is a first step in this direction.

摘要本文研究了丹麦市政当局在政治数字化战略中对数据的高度关注如何在实践中发挥作用。基于对数据驱动管理的人种学研究，本文认为，使数据成为组织决策驱动因素的影响之一是不确定数据是什么以及数据可以被理解为什么。虽然在政治话语和战略中，数据被认为是跨组织单位协作以及优化其绩效的资源，但在实践中，数据并不是这种直接的实体。本文介绍了一种将数据识别为不同世界(本体)的一部分的数据工作。由此产生的管理任务是培育将数据表述为关系的组织空间。这篇论文认为，关注公共部门雇员在遇到数据时的麻烦经历，可能有助于减轻仅仅将数据视为一种资源的一些风险。这篇论文的结论是，随着公共部门管理者学会培育能够阐明数据差异的空间，他们也保护了福利官僚机构的核心价值。承认数据工作是关于我们认为什么是真实的，什么是不真实的(本体论工作)，是朝着这个方向迈出的第一步。

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引用次数: 0

Privacy-Preserved Video Monitoring Method with 3D Human Pose Estimation 基于三维人体姿态估计的隐私视频监控方法

IF 2.4 3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152735

Jifan Shen, Yuling Sun

With the fast growth of aging population and the spread of various chronic diseases such as heart disease and arthritis among older adults, elderly care has become an urgent topic facing today’s society. Consequently, technologies mediated remote care has become a widely-used method, with the significant promise of reducing cost and improving the efficiency and quality of healthcare. Yet, most remote-caring technologies, especially surveillance video based remote care, face the challenge of privacy issues. For addressing this issue, this paper proposes a privacy- preserved remote care method. Specially, we use ROMP to extract the 3D human model of the elderly in the surveillance video, and use KNN pose estimation algorithm to detect the potential abnormal behaviors. Compared to existing methods, which mainly replace the privacy information with totally different contents, our method not only protects the personal privacy information of the elderly, but also provides clear and identifiable posture information which could better support remote care.

随着老龄化人口的快速增长和老年人心脏病、关节炎等各种慢性疾病的蔓延，老年人护理已成为当今社会面临的紧迫课题。因此，技术介导的远程医疗已成为一种广泛使用的方法，具有降低成本，提高医疗效率和质量的重大承诺。然而，大多数远程护理技术，特别是基于监控视频的远程护理，都面临着隐私问题的挑战。针对这一问题，本文提出了一种隐私保护的远程护理方法。特别地，我们使用ROMP算法提取监控视频中老年人的三维人体模型，并使用KNN姿态估计算法检测潜在的异常行为。与现有的方法主要是用完全不同的内容替换隐私信息相比，我们的方法不仅保护了老年人的个人隐私信息，而且提供了清晰可识别的姿势信息，可以更好地支持远程护理。

引用次数: 0

A Framework Using Absolute Compression Hard-Threshold for Improving The Robustness of Federated Learning Model 利用绝对压缩硬阈值提高联邦学习模型鲁棒性的框架

IF 2.4 3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152807

Yuzhang Wu, Beilun Wang

Nowadays, with the popularity of the federated learning, it becomes crucial for us to tackle the challenges, communication cost and model robustness. And targeting at the communication bottleneck, data compression is widely used to solve the problem. Besides, the usage of variance reduction for achieving robustness and communication compression for reducing costs has been studied. The Byz-VR-MARINA pro- posed before uses random-sparsification. In this paper, we adopt the absolute compressors hard-threshold and propose a robust compressed framework Byz-VR-BARRY. Experimental results on w8a and a9a datasets have shown the effectiveness of our method, which can decrease the optimality gap obviously.

如今，随着联邦学习的普及，如何解决通信成本和模型鲁棒性等问题变得至关重要。而针对通信瓶颈，数据压缩被广泛应用于解决这一问题。此外，还研究了利用方差缩减来实现鲁棒性和利用通信压缩来降低成本。之前提出的Byz-VR-MARINA采用随机稀疏化。本文采用绝对压缩器硬阈值，提出了一种鲁棒压缩框架Byz-VR-BARRY。在w8a和a9a数据集上的实验结果表明了该方法的有效性，可以明显减小最优性差距。

引用次数: 0

Towards Dynamic Evolutionary Analysis of ProgrammableWeb for API-Mashup Ecosystem 面向API-Mashup生态系统的可编程web动态演化分析

IF 2.4 3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152769

Yang Wang, Jiayan Xiang, Hangyu Cheng, Wanjun Chen, Yong Xiao, Guosheng Kang

With the wide adoption of Web APIs released on Internet, users tend to reuse them for business requirements or software development. Mashup is a useful technology for composing Web APIs into a new and value-added application. With the increasing number of Web APIs and Mashups, the API-Mashup ecosystem has emerged based on the invocation relationship between Mashups and Web APIs. In this paper, we take ProgrammableWeb, a typical API-Mashup ecosystem, as an example to investigate its dynamic evolutionary analysis. Although there have been some works on the API-Mashup ecosystem, they mainly focus on static analysis, i.e., the static characteristics of the API- Mashup ecosystem on a fixed time point. This paper conducts a comprehensive study on the dynamic evolutionary analysis of the API-Mashup ecosystem with a long time range from 2005 to 2021. First, we conduct a dynamic statistical analysis based on the API-Mashup ecosystem dataset. Next, we construct two cooperation networks, one between Web APIs, and the other between their categories. And the general characteristics of the two cooperation networks are presented. Finally, we investigate the derived cooperation networks from four perspectives: dynamic characteristics, degree distribution, betweenness centrality, and assortative mixing. Meanwhile, the corresponding insights are uncovered. Our work provides a foundation for visualization and understanding of the API-Mashup ecosystem from the timeline.

随着Internet上发布的Web api的广泛采用，用户倾向于将它们用于业务需求或软件开发。Mashup是一种有用的技术，可将Web api组合成新的增值应用程序。随着Web api和mashup数量的增加，API-Mashup生态系统基于mashup和Web api之间的调用关系而出现。本文以典型的API-Mashup生态系统ProgrammableWeb为例，研究其动态演化分析。虽然已经有一些关于API-Mashup生态系统的工作，但它们主要集中在静态分析上，即API-Mashup生态系统在固定时间点上的静态特征。本文对API-Mashup生态系统进行了全面的动态演化分析，时间跨度为2005年至2021年。首先，基于API-Mashup生态系统数据集进行动态统计分析。接下来，我们构建了两个协作网络，一个是Web api之间的协作网络，另一个是它们的类别之间的协作网络。并介绍了两种合作网络的一般特点。最后，我们从动态特征、程度分布、中间中心性和分类混合四个角度对衍生合作网络进行了研究。同时，也揭示了相应的见解。我们的工作为从时间轴上可视化和理解API-Mashup生态系统提供了基础。

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引用次数: 0

Momentum Contrastive Learning for Sequential Recommendation 序贯推荐的动量对比学习

IF 2.4 3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152753

Bing Shi, Wenan Tan, Pengfei Yu

Contrastive self-supervised learning (SSL) based Sequential Recommendations (SR) have recently achieved significant performance improvements in addressing the data sparsity problem, which hinders learning high-quality user representations. However, current contrastive SSL based models ignore the importance of consistency between sample pairs. Consistency means the similarity degree between the feature representation of encoded sample pairs, and the higher the consistency, the better the feature learning. To figure out the benefits of consistency and utilize it effectively, Momentum Contrastive Learning for Sequential Recommendation (MCL4SRec) is designed. Existing experiments on four public datasets demonstrate the superiority of MCL4SRec, which achieves state-of-the-art performance over existing baselines.

基于顺序推荐(SR)的对比自监督学习(SSL)最近在解决数据稀疏性问题(这阻碍了学习高质量的用户表示)方面取得了显著的性能改进。然而，当前基于SSL的对比模型忽略了样本对之间一致性的重要性。一致性是指编码样本对的特征表示之间的相似程度，一致性越高，特征学习效果越好。为了找出一致性的好处，并有效地利用它，设计了动量对比学习的顺序推荐(MCL4SRec)。在四个公共数据集上的现有实验证明了MCL4SRec的优越性，它比现有基线实现了最先进的性能。

引用次数: 0

Indoor Navigation Mechanism based on 5G network for Large Parking Garage 基于5G网络的大型停车场室内导航机制

IF 2.4 3区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Supported Cooperative Work-The Journal of Collaborative Computing

Pub Date : 2023-05-24 DOI: 10.1109/CSCWD57460.2023.10152614

Xiaolong Xu, Qun Ding, Lichen Lin

With the increase of car ownership in China, the problem of difficult parking in cities has become more and more serious. In large parking garage, finding an ideal parking space has become a daily problem for people; especially during the peak usage period of parking garage, a large number of vehicles will be driven into the parking garage, which will bring congestion, and at the same time, the demand of a large number of users in the area will lead to network congestion under 4G network, and users cannot access the network to check and find parking spaces. Therefore, this paper proposes a global optimal navigation mechanism with 5G network based on the above mentioned problems by analyzing the congestion situation during the peak usage of the parking garage. This mechanism uses an optimal parking space selection model and a global optimal scheduling model that can avoid congestion. Based on the model proposed in this paper, we construct a navigation planning system based on mobile, front-end and back-end. With the ultra-low latency, ultrahigh transmission efficiency and reliability of 5G network, the mobile port can select the optimal parking space according to the user's preference, and the back-end can show the parking space and congestion in the parking garage in real time according to the actual situation of the parking garage. Finally, the performance of the model and system proposed in this paper is verified through experiments.

随着中国汽车保有量的增加，城市停车难的问题变得越来越严重。在大型停车库中，寻找理想的停车位已成为人们日常的难题;特别是在停车场使用高峰期，会有大量车辆驶入停车场，带来拥堵，同时，该区域大量用户的需求会导致4G网络下的网络拥堵，用户无法接入网络查看和查找停车位。因此，本文通过分析停车场使用高峰期的拥堵情况，针对上述问题，提出了一种基于5G网络的全局最优导航机制。该机制采用最优车位选择模型和全局最优调度模型来避免拥堵。基于本文提出的模型，构建了一个基于移动端、前端和后端的导航规划系统。凭借5G网络的超低时延、超高传输效率和可靠性，移动端可以根据用户的偏好选择最优停车位，后端可以根据停车场的实际情况实时显示停车场的停车位和拥堵情况。最后，通过实验验证了本文提出的模型和系统的性能。

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