Cooperative Work Research Articles

The Search for Paxlovid: Medication Acquisition as Anticipation Work After China's Zero-COVID Policy

In early December 2022, China's zero-COVID policy came to an end. For Chinese citizens, an imaginary of safety predicated on collective action and state care was replaced with a general focus on individualized responsibility for maintaining one's health. This expedited policy reversal had the unintended effect of infecting around 80% of China's population in one month, leading to a period of confusion, anxiety, and infection. One way of obtaining safety in a precarious time was to acquire medical resources. Through an online ethnographic investigation, we trace the acquisition of Paxlovid, an antiviral medication that had its distribution within China complicated by geopolitical tension and supply issues. By attending to the precarity of Chinese citizens at home and abroad, we show how Paxlovid was desired in both the present tense for the presently ill and in the future tense as an anticipatory form of safety. We use the analytical lens of anticipation work to unpack individual, collective, and state anticipatory practices supported by various social media platforms within and across borders. In doing so, we highlight moments of friction between and among various actors to argue that attending to affect, precarity, and practices in moments of conflict is critical to understanding the complexities of computer-supported cooperative work.

PACMHCI V8, CSCW2, November 2024 Editorial

We are delighted to present this issue of the Proceedings of the ACM on Human-Computer Interaction to the Computer-Supported Cooperative Work and Social Computing (CSCW) community. The issue contains 171 papers, of which 117 were accepted from the July 2023 cycle, and 55 were accepted from the January 2024 cycle, and one was withdrawn. Exploring a broad range of inspiring and timely topics, the issue collects the sustained efforts of a community of authors, external reviewers, Associate Chairs, and Editors. The result is an outstanding selection of high-quality contributions which are certain to shape the future of the field. Our deepest gratitude as Papers Chairs goes to this community for its determination to extend the CSCW traditions of collegiality and rigor in crafting extraordinary scholarship.

How cooperative mindsets and course climate relate to the perceived impact of digital cooperation on learning in higher education

AbstractThis article in the journal “Gruppe. Interaktion. Organisation. (GIO)” presents the results of a study examining one underlying mechanism of successful digital cooperation among students in higher education from a student perspective. We investigated whether and how students’ cooperative mindset and the climate in their university courses correlate with how they perceive the impact of digital cooperation on their learning outcomes. Data were collected using a questionnaire in different university courses at three universities, involving students from different study programmes and semesters. We conducted a mediation analysis that included students’ cooperative mindsets, the perception of the course climate, and the perception of the impact of digital cooperation on students’ learning outcomes. We found that students’ cooperative mindsets predicted their perception of the impact of digital cooperation on their learning. The cooperative mindset of students also predicted their perception of the course climate, which, in turn, predicted their perception of the impact of digital cooperation on their learning. Moreover, we found that the effect of students’ cooperative mindset on the perceived impact of digital cooperation on learning was mediated by the perception of the course climate. These findings suggest that highlighting the relevance of digital cooperation for learning outcomes can initiate a positive dynamic shaping students’ perceptions of their course climate and benefits of digital cooperation. Understanding these dynamics is crucial because cooperative group work in digital environments has become an integral part of teaching in higher education.

Analisis Kinerja Underwriter Dalam Menentukan Calon Peserta pada Produk Dana Pensiun: Studi Kasus Ajb Bumiputera 1912 Wilayah Medan

Insurance is a series of processes related to the supply of services needed by the community in quality. The magnitude of the influence of insurance on the sustainability of a company also makes the insurance process a good risk control. Without good handling, the impact on performance will be very large. This study uses qualitative research. Qualitative research is research that emphasizes the aspect of in-depth understanding of a problem rather than looking at the problem for generalization research. Underwriter performance assessment is carried out by the company leadership by considering the results of meetings of superiors, staff groups, committee decisions, field reviews and subordinates or colleagues. : a. Quality of work b. Work quantity c. Reliable d. Cooperative work Keywords: AJB Bumiputera 1912, Pension Fund and Underwriter

Federated learning-based wavelength demodulation system for multi-point distributed multi-peak FBG sensors

Machine learning-based demodulation of multi-peak fiber Bragg grating (FBG) sensors has been extensively studied, demonstrating superior performance compared to conventional algorithms because it can neglect potential physical constraints. As the number of real-world monitoring points increases, the volume of fiber-optic sensing data grows exponentially. This necessitates aggregating data from various regions (e.g., via Wi-Fi), unlike traditional single-point monitoring, which challenges server storage capacity and communication efficiency. To address these issues, this paper proposes a federated learning (FL)-based framework for efficient wavelength demodulation of multi-peak FBGs in multipoint monitoring. Specifically, an arrayed waveguide grating (AWG) with multiplexing capability is employed at different monitoring points to convert spectral features into multi-channel transmission intensities, serving as training data for local models. Subsequently, the local model parameters, trained independently at each point, are uploaded to a central server to derive the optimal global model for demodulation across different monitoring points. The proposed demodulation framework is validated through stress demodulation experiments on multi-peak FBG sensors. Experimental results indicate strong multi-peak extraction performance with a demodulation error of ±0.64 pm. Additionally, the method demonstrates excellent applicability for generating high-precision global demodulation models through multi-node cooperative work under various scenarios.

Conducting Human Biology Research Using Invasive Clinical Samples: Methods, Strengths, and Limitations.

Invasive biological samples collected during clinical care represent a valuable yet underutilized source of information about human biology. However, the challenges of working with clinical personnel and the invasive nature of sample collection in biomedical studies can hinder the acquisition of sufficiently large sample sizes for robust statistical analyses. In addition, the incorporation of demographic data from participants is crucial for ensuring the inclusiveness of representative populations, identifying at-risk groups, and addressing healthcare disparities. Drawing on both research experiences and the existing literature, this article provides recommendations for researchers aiming to undertake efficient and impactful projects involving invasive human samples. The suggested strategies include: (1) establishing productive collaborations with clinicians; (2) optimizing sample quality through meticulous collection and handling procedures; and (3) strategically implementing a retrospective model to capitalize on existing invasive sample repositories. When established, cooperative work between clinical health care workers and biological anthropologists can yield insights into human biology that have the potential to improve human health and wellbeing.

Cybernic robot hand-arm that realizes cooperative work as a new hand-arm for people with a single upper-limb dysfunction.

A robot hand-arm that can perform various tasks with the unaffected arm could ease the daily lives of patients with a single upper-limb dysfunction. A smooth interaction between robot and patient is desirable since their other arm functions normally. If the robot can move in response to the user's intentions and cooperate with the unaffected arm, even without detailed operation, it can effectively assist with daily tasks. This study aims to propose and develop a cybernic robot hand-arm with the following features: 1) input of user intention via bioelectrical signals from the paralyzed arm, the unaffected arm's motion, and voice; 2) autonomous control of support movements; 3) a control system that integrates voluntary and autonomous control by combining 1) and 2) to thus allow smooth work support in cooperation with the unaffected arm, reflecting intention as a part of the body; and 4) a learning function to provide work support across various tasks in daily use. We confirmed the feasibility and usefulness of the proposed system through a pilot study involving three patients. The system learned to support new tasks by working with the user through an operating function that does not require the involvement of the unaffected arm. The system divides the support actions into movement phases and learns the phase-shift conditions from the sensor information about the user's intention. After learning, the system autonomously performs learned support actions through voluntary phase shifts based on input about the user's intention via bioelectrical signals, the unaffected arm's motion, and by voice, enabling smooth collaborative movement with the unaffected arm. Experiments with patients demonstrated that the system could learn and provide smooth work support in cooperation with the unaffected arm to successfully complete tasks they find difficult. Additionally, the questionnaire subjectively confirmed that cooperative work according to the user's intention was achieved and that work time was within a feasible range for daily life. Furthermore, it was observed that participants who used bioelectrical signals from their paralyzed arm perceived the system as part of their body. We thus confirmed the feasibility and usefulness of various cooperative task supports using the proposed method.

Barriers and facilitators to narrative nursing implementation for junior nurses: A qualitative study.

This study aimed to explore the experiences of barriers and facilitators to the implementation of narrative nursing by junior nurses. Participants were recruited using purposive sampling. Semi-structured interviews were conducted from October 2023 to February 2024. Data were thematically analyzed using the Colaizzi seven-step method. Five barriers and 3 facilitators to the implementation of narrative nursing by junior nurses emerged in the study. Relevant barriers include lack of practical skills related to narrative nursing, neglect of the concept of humanistic care, negative events, high workload for junior nurses, restricted implementation environment. The facilitators contain patients' and family members' trust, training related to knowledge and skills, as well as harmonious and cooperative working atmosphere. There is still room for improvement in the implementation of narrative nursing for junior nurses, and the systematic training of narrative nursing knowledge and skills should be enhanced; the medical humanistic environment should be optimized; and the psychological resilience of junior nurses should be improved, so as to encourage them to actively implement narrative nursing at the early stage of their careers, and to deepen the high-quality development of nursing humanism.

Can a work-readiness program mitigate unemployment scarring: the case of a co-operative education job market

ABSTRACT Using a two-year-long longitudinal dataset that follows co-operative education (co-op) students’ employment situations, this paper examines how unemployment in the first scheduled co-op work term is associated with un(der)employment in subsequent work terms. Drawing from unemployment scarring theory, the paper also investigates the role of a work-readiness intervention in reversing the potentially negative consequences of unemployment in the first scheduled co-op work term. The results suggest that unemployment in the first co-op work term is associated with underemployment in a subsequent work term. Compared to those who were employed in their first scheduled work term, students who were initially unemployed were just as likely to be employed in their second work term, but they got jobs later, were in jobs with lower seniority, and were paid less than expected. By the third scheduled work term, employment and underemployment were similar between all groups, except that initially employed students continued to earn more, suggesting an earnings penalty for initial unemployment that is consistent with unemployment scarring theory. Critically, participation in a work-readiness intervention reversed this narrative. Intervention participants did better than their unemployed peers in subsequent work terms, and their employment situation was more like that of the initially employed students.

Impact Of Relational Leadership on Effective Services of Church Volunteer Workers

The church thrives on the effective engagement of volunteer workers who give their time, money, and talents to promote the gospel through cooperative work with the church pastors and other church staff. Upon this assumption, the writers intend to promote relational leadership theory that can help pastors and other church staff engage and maximize their potential. In achieving this singular purpose, the writers explored the relational leadership theory and described who volunteers are in the church context. The research also discusses relational issues among volunteer church workers, while impacts that implementation of this theory could have on church workers were finally explained. The article reveals that relational leadership would help leaders prioritize interest in the church volunteer workers’ personal life; encourages formal and informal communication; inspires teamwork; and guides church volunteer workers toward achieving their job descriptions.

“You Are Not Here”: Coordinating Repair under Occupation

ABSTRACTThis research challenges dominant understandings of ubiquity, mobility, and connectivity and explores the limits ICTs through a qualitative study of a collaborative capacity‐building initiative to localize the repair of medical devices and equipment in the Gaza Strip. Dominant perceptions of ICT affordances rely upon taken‐for‐granted political, economic, and social systems that are neither universal nor guaranteed. Using a thickly descriptive, interpretivist approach, this research shows how ICTs are fundamentally insufficient to support team collaboration and meet the affective and material requisites of collaborative work under conditions of occupation. Digital networked technologies are particularly limited in their ability to create, simulate, and/or foster the interdependent conditions of presence, flow, and coordination required for cooperative work to succeed. Geopolitical borders and concomitant conditions of occupation continuously disrupt the logics of time and space between those living and working in Gaza and the “outside world”. Arbitrary and capricious fluctuations in tolerance, temporality, persistence, and permeability wrought by the ongoing siege of Gaza result in pernicious harms that are difficult or impossible to account for or correct with technical “solutions.”

Research on the Construction of Vocational School-Enterprise Cooperation Service Platform Based on Micro-services

With the deep integration of school-enterprise cooperation in higher vocational colleges, it is necessary to use micro-service technology for targeted analysis of various behavioral data involved in school-enterprise cooperation, and extract valuable information as the basis for guide school-enterprise cooperation work, to shift school-enterprise cooperation work from “business-driven” to more precise “data-driven” [1]. This article uses big data analysis as a means, adopts micro-service technology, and takes school-enterprise cooperation and industry education integration as the concept. Through the needs analysis of the college, the overall architecture of the school-enterprise cooperation service platform is designed. From business processes, big data analysis and intelligent visualization, the deep integration of school-enterprise joint training of teachers, school-enterprise collaborative teaching, and school-enterprise joint promotion of employment are achieved, and the expected effect is worth promoting.

Study on the Flexural Performance of Ultrahigh-Performance Concrete-Normal Concrete Composite Slabs.

In recent years, there have been an increasing number of examples of using ultrahigh-performance concrete (UHPC) as a pavement layer to form an ultrahigh-performance concrete-normal concrete (UHPC-NC) composite structure to improve the bearing capacity of bridges. In order to study the flexural performance of this kind of structure, this research studied the flexural performance of UHPC-NC composite slabs, with UHPC in the compression zone, using experiments, numerical simulation, and theoretical analysis. The results showed the following. Firstly, after the UHPC-NC interface had been chiseled, there was no obvious slip between the two materials during the test, and the composite plate was always subjected to synergistic stress. Secondly, the composite slabs in the compression zone of the UHPC were all subjected to bending failure, and the cooperative working performance of each part under the bending load was good, indicating that the composite slab had a unique failure mode and a high bearing capacity. Thirdly, increasing the thickness of the UHPC significantly improved the flexural capacity of the composite plate, and the maximum increase was about 15%. Increasing the reinforcement ratio of the tensile steel rebars also had an increasing effect, with a maximum increase of about 181%. Finally, the proposed formula for calculating the flexural capacity of composite slabs with UHPC in the compression zone could accurately predict the bearing capacity of said slabs. The calculated results were in good agreement with the experimental values, and the error was small.

A cooperative task assignment framework with minimum cooperation cost in crowdsourcing systems

Crowdsourcing provides a new problem-solving paradigm that utilizes the intelligence of crowds to solve computer-hard problems. Task assignment is a foundation problem in crowdsourcing systems and applications. However, existing task assignment approaches often assume that workers operate independently. In reality, worker cooperation is necessary. In this paper, we address the cooperative task assignment (CTA) problem where a worker needs to pay a monetary cost to another worker in exchange for cooperation. Cooperative working also requires one task to be assigned to more than one worker to ensure the reliability of crowdsourcing services. We formalize the CTA problem with the goal of minimizing the total cooperation cost of all workers under the workload limitation of each worker. The challenge is that the individual cooperation cost that a worker pays for a specific task highly depends on the task distribution. This increases the difficulty of obtaining the assignment instance with a small cooperation cost. We prove that the CTA problem is NP-hard. We propose a two-stage cooperative task assignment framework that first assigns each task to one worker and then makes duplicate assignments. We also present solutions to address the dynamic scenarios. Extensive experimental results show that the proposed framework can effectively reduce the cooperation cost.

Globalizing data literacy: Unveiling methodologies and findings from the European Educability project (building the capacity of educators and librarians in information literacy)

The goal of the European Educability project was to create a specific skills program for educators and information professionals covering six key multiliteracies within the new European framework of digital competencies. The focus of the project is placed on the importance of international collaboration in the development of these programs, using one specific literacy as an example: data literacy. This paper provides the working methodology for the project, based on prior definition of the conceptual elements and, subsequently, on the design of a Delphi study in which 15 experts from the partner countries evaluated and reached a consensus on the importance of the learning objectives and training programs presented. The results for data literacy highlight the need to apply replicable methodologies when designing skills programs. The international cooperation work carried out within the framework of the Educability project contributes to standardization in the approach to these programs, as well as in research on multiliteracies.

String‐Like Self‐Capacitance‐Based Proximity and Tactile Sensor that Can be Wrapped Around Robotic Arms

AbstractCooperative robots that perform safety functions as part of cooperative work with humans have been recently drawing attention. Proximity and tactile sensors that can be retrofitted to a robot's surface are important safety measures for existing robots that are not manufactured as cooperative robots to be used as cooperative robots. In this paper, a string‐like self‐capacitance‐based proximity and tactile sensor that can be easily wrapped around various types of existing robots is proposed. The novel and useful point in this paper is that it can be easily mounted on various robots by a flexible string‐like proximity and tactile sensor. The sensor module can be adjusted to the required length by connecting different numbers of modules depending on the mounting surface. As a demonstration, six prototype sensor modules were connected by each connector and wrapped around a robotic arm. The sensor modules on the robot's surface could detect an object within its proximity range and detect the rough pressure after contact. In addition, the robotic arm with the sensor modules could be controlled in real time using the data obtained from the sensor that are object detection data at proximity range. These results confirm that the proposed sensor module can be used in the proximity and tactile sensors of existing robots. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Study on seismic performance of RC columns strengthened with CFRP-steel tube self-compacting concrete

In order to study the seismic performance of Reinforced Concrete columns strengthened with Carbon Fiber Reinforced Polymer-steel tube self-compacting concrete, seven strengthened columns and one unstrengthened column were designed and manufactured with the main parameters of axial compression ratio, self-compact concrete strength, steel tube shape and steel tube thickness. The hysteresis curve, skeleton curve, ductility, energy dissipation capacity, stiffness, steel tube surface and steel bar strain variation of the specimens were analyzed. The test results show that the strengthened part of the specimen has good cooperative working ability with the RC column, and the failure process and failure mode of the specimen are similar to those of the concrete filled steel tube. Under the action of horizontal reciprocating load, the concrete at the bottom of the strengthened column is cracked; with the increase of horizontal displacement, the hysteresis curve becomes full and the energy dissipation capacity increases. The finite element software ABAQUS is used to model and analyze the specimens. The simulation results are in good agreement with the experimental results. It is proved that the simulation is reasonable and effective in unit selection, contact setting, meshing and material constitutive selection. The hysteresis curve, skeleton curve and failure mode of each specimen are obtained.

Research on anti-rollover control of three-axle rescue vehicle based on active suspension and differential braking

Abstract. Due to its intricate operational environment, substantial mass, and elevated center of mass, the three-axle emergency rescue vehicle is more prone to rollover. This study aims to enhance the operational stability and mitigate rollover risks by establishing a rollover dynamic model with 11 degrees of freedom. Using the coupling characteristics of vehicle dynamics and tire force, an anti-rollover control strategy of the three-axle vehicle based on the cooperative work of differential braking and active suspension is proposed. According to the vehicle motion characteristics, the active suspension controller is built by using a fuzzy PID algorithm, and the differential braking controller is built by using the improved adaptive model predictive control algorithm. The step and fishhook tests of differential braking, active suspension control and joint control are carried out respectively. The simulation results show that the joint control strategy can effectively reduce the rollover tendency of the vehicle, and further improve the anti-rollover ability of the vehicle compared with the single system control.

Gamification in The Teaching-Learning Process of History, to Optimize Pedagogical Strategies in Unified General High School Education

Objective: The study analyzes the gamification in the teaching of History to improve pedagogical strategies in students of second of high school. Its objectives include diagnosing the intrinsic motivation towards history, describing the theoretical and methodological foundations of gamification, and proposing motivational strategies aligned with curricular objectives. Theoretical reference: Gamification is presented as a didactic strategy that promotes motivating and interactive learning. Active methodologies based on constructivist theory favor active participation, cooperative work, problem solving and encourage creativity, reflection and criticism, although their use in classes is limited. Method: The methodology is quantitative descriptive, using a questionnaire applied to 40 students of second of baccalaureate of the Miguel Ángel Suárez Private School in Loja, Ecuador. Results and conclusion: The results indicate that gamification improves motivation and intrinsic participation in learning history. It is crucial that teachers integrate gamified strategies into teaching planning to develop critical and historical analysis skills in an attractive way. Originality/value: Research provides a solid foundation for implementing gamification as an effective tool for developing critical, historical and analytical skills, making learning more engaging and relevant. It combines constructivist theories with active methodologies, offering a valuable resource to adapt traditional pedagogical strategies to new educational demands through the integration of digital resources.

VAI TRÒ CỦA HIỆU TRƯỞNG TRONG VIỆC KHUYẾN KHÍCH SỰ HỢP TÁC CỦA GIẢNG VIÊN TẠI TRƯỜNG ĐẠI HỌC: MỘT NGHIÊN CỨU TỔNG QUAN

Collaboration between teachers is a significant predictor of outcome variables at the schools, teacher, and student levels. As they are in charge of establishing the work settings for teachers, principals have the power to encourage and develop teacher collaboration. The aim of this case study was to gain insight into how important principals’ roles are in establishing and maintaining a cooperative work environment between teachers. With the document analysis method, the paper is going to discuss principals’ roles in encouraging collaboration between teachers, the benefits of teacher collaboration, and links between principals’ roles and teacher collaboration. Hopefully, it would be a precious source for both principals and teachers to be aware of the importance of collaboration at tertiary level. Keywords: Collaboration; the roles of principals; tertiary level; sustainable development.