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检索条件"任意字段=Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing"

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The Utility of social Media in Understanding the Future of work 25

The Utility of Social Media in Understanding the Future of W...

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25th acm conference on computer-supported cooperative work and social computing, CSCW 2022

作者： Mahdavimoghaddam, Jalehsadat Ryerson University TorontoON Canada

ISBN: (纸本)9781450391900

There is a growing body of research that leverages online social networks to study users' interests and behaviors for reasons such as personalization and recommendation. However, the utility of online social platforms in understanding and predicting the labor market has not received the attention that it deserves in the literature. Therefore, this Ph.D. research will explore the temporal and causal relationships between online social topics and the changes in the job market from several complementary aspects. More specifically, this research will be focused on addressing three main problems: (1) investigating whether social content is an effective indicator of future job requirements;(2) analyzing if any meaningful causal relationship could be found between work-related emotions expressed on online social platforms and their social demographics;and, (3) identifying potential causal impacts of community support on the online users' well-being in the future job market. The findings of my doctoral dissertation will assist learners and job seekers to gain insight into important job-related skill trends, which can help them in their career-long learning process to stay in demand and remain employable. Also, the outcomes of this thesis can help governments and policymakers understand workforce challenges and design programs and solutions that can support workers in the knowledge economy and enhance their well-being. © 2022 Owner/Author.

关键词： social networking (online)

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work of Fiction: Using Speculative Design to Deliberate on the Future of Hiring 25

Work of Fiction: Using Speculative Design to Deliberate on t...

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25th acm conference on computer-supported cooperative work and social computing, CSCW 2022

作者： Kaur, Jasmine Devgon, Rishabh Chaudhary, Dhairya Indraprastha Institute of Information Technology Delhi India

ISBN: (纸本)9781450391900

AI recruitment systems are increasingly being deployed to automate the hiring process. This is especially true for companies that hire large numbers of people. AI recruitment software is used in all phases of the process, from receiving and sorting applications, candidate screening, selection process, and communication of results to applicants. While some argue that AI recruitment may remove interviewer bias, others believe there is a danger of dehumanizing the interviewees' experience. In either case, AI recruitment is set to ignite a significant paradigm shift in hiring practices. For this poster, we discuss the results of a participatory speculative design project conducted to engage both HR recruiters and job applicants to understand their concerns. Specifically, we present six scenarios and a diegetic prototype that were used to familiarize participants with the AI recruitment process. We discuss how these served as catalysts for meaningful conversations about an often obfuscated topic. © 2022 Owner/Author.

关键词： Application programs

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DesertWoZ: A Wizard of Oz Environment to Support the Design of Collaborative Conversational Agents 25

DesertWoZ: A Wizard of Oz Environment to Support the Design ...

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25th acm conference on computer-supported cooperative work and social computing, CSCW 2022

作者： Simpson, James Stening, Hamish Nalepka, Patrick Dras, Mark Reichle, Erik D. Hosking, Simon Best, Christopher J. Richards, Deborah Richardson, Michael J. School of Psychological Sciences Macquarie University Sydney Australia School of Computing Macquarie University Sydney Australia Human and Decision Sciences Division Defence Science and Technology Group Melbourne Australia

ISBN: (纸本)9781450391900

The use of conversational agents to support team-based training in virtual environments is a nascent area of research within the computer supported Collaborative work (CSCW) and Conversational User Interface (CUI) communities. To support this research, we developed a Wizard of Oz (WoZ) system enabling experimenters to play the role of the conversational agent who must work with a team of three human participants to herd together a group of autonomous robots (target agents) within a virtual task environment. The experimenter can select from one of several tailored responses. The aim of this environment is to determine whether the identified responses facilitate effective team performance and to collect training data to build a conversational agent capable of engaging in team based virtual learning environments. © 2022 Owner/Author.

关键词： User interfaces

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A Process to Analyze Software Ecosystem social Dimension Through a Collaboration Perspective 26

A Process to Analyze Software Ecosystem Social Dimension Thr...

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26th International conference on computer supported cooperative work in Design, CSCWD 2023

作者： Guércio, Hugo Ströele, Victor David, José Maria N. Braga, Regina Federal University of Juiz de Fora Computer Science Postgraduate Program Juiz de Fora Brazil

ISBN: (纸本)9798350331684

Development communities and the software industry increasingly adopt the Software Ecosystems approach (SECO). This approach can provide advantages but add additional complexity to resource management, affecting the software supply network. Observing SECOs, we can see through three dimensions: business, technical, and social. The social dimension focuses on stakeholders and how they interact with other dimensions. This paper presents a process for analyzing the social dimension of Software Ecosystems, supported by Complex Networks metrics, which allow the presentation of existing SECO relationships' through visualizations and the use of complex networks. A preliminary evaluation with real data was carried out. The results point to the solution's viability. © 2023 IEEE.

关键词： Complex networks

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"I feel like I need to split myself in half": Using Role Theory to Design for Parents as Caregiving Teams in the Children's Hospital 25

"I feel like I need to split myself in half": Using Role The...

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25th acm conference on computer-supported cooperative work and social computing, CSCW 2022

作者： Nikkhah, Sarah Rode, Akash Uday Mittal, Priyanjali Kulkarni, Neha K. Nadkarni, Salonee Mueller, Emily L. Miller, Andrew D. Iu School of Informatics and Computing at Iupui Indiana United States Indiana University School of Medicine IndianapolisIN United States

ISBN: (纸本)9781450391900

When their child is hospitalized, parents take on new caregiving roles, in addition to their existing home and work-related responsibilities. Previous CSCW research has shown how technologies can support caregiving, but more research is needed to systematically understand how technology could support parents and other family caregivers as they adopt new coordination roles in their collaborations with each other. This paper reports findings from an interview study with parents of children hospitalized for cancer treatment. We used the Role Theory framework from the social sciences to show how parents adopt and enact caregiving roles during hospitalization and the challenges they experience as they adapt to this stressful situation. We show how parents experience 'role strain' as they attempt to divide caregiving work and introduce the concept of 'inter-caregiver information disparity.' We propose design opportunities for caregiving coordination technologies to better support caregiving roles in multi-caregiver teams. © 2022 Owner/Author.

关键词： Hospitals

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social Network Community Detection based on Inner-Community Information Diffusion Simulation Algorithm 26

Social Network Community Detection based on Inner-Community ...

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26th International conference on computer supported cooperative work in Design, CSCWD 2023

作者： Liang, Wanying Tang, Yong Zhu, Jia South China Normal University School of Computer Guangzhou510631 China Pazhou Laboratory Guangzhou510335 China Zhejiang Normal University College of Teacher Education Jinhua321004 China

ISBN: (纸本)9798350331684

Community detection based on information diffusion is a relatively niche direction. This paper proposes a social network community detection model based on the inner-community information diffusion simulation. The model uses the inner-community information diffusion algorithm adjusted on the naive infectious disease algorithm for node representation, including the dynamic spreading parameter and repeatable infected nodes. Model clusters nodes into communities according to their representation. Experiment results prove that our model outperforms previous related models on synthetic and real datasets. We verify the interpretability of the inner-community information diffusion representation algorithm meanwhile. © 2023 IEEE.

关键词： Population dynamics

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PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution 24

PEAN: A Diffusion-Based Prior-Enhanced Attention Network for...

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32nd acm International conference on Multimedia, MM 2024

作者： Zhao, Zuoyan Xue, Hui Fang, Pengfei Zhu, Shipeng School of Computer Science and Engineering Southeast University Nanjing China Ministry of Education China Nanjing China

ISBN: (纸本)9798400706868

Scene text image super-resolution (STISR) aims at simultaneously increasing the resolution and readability of low-resolution scene text images, thus boosting the performance of the downstream recognition task. Two factors in scene text images, visual structure and semantic information, affect the recognition performance significantly. To mitigate the effects from these factors, this paper proposes a Prior-Enhanced Attention Network (PEAN). Specifically, an attention-based modulation module is leveraged to understand scene text images by neatly perceiving the local and global dependence of images, despite the shape of the text. Meanwhile, a diffusion-based module is developed to enhance the text prior, hence offering better guidance for the SR network to generate SR images with higher semantic accuracy. Additionally, a multi-task learning paradigm is employed to optimize the network, enabling the model to generate legible SR images. As a result, PEAN establishes new SOTA results on the TextZoom benchmark. Experiments are also conducted to analyze the importance of the enhanced text prior as a means of improving the performance of the SR network. Code is available at https://***/jdfxzzy/PEAN. © 2024 acm.

关键词： Semantics

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Ethical Tensions, Norms, and Directions in the Extraction of Online Volunteer work 25

Ethical Tensions, Norms, and Directions in the Extraction of...

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25th acm conference on computer-supported cooperative work and social computing, CSCW 2022

作者： Li, Hanlin Ajmani, Leah Zhou, Moyan Vincent, Nicholas Hwang, Sohyeon Piccardi, Tiziano Narayan, Sneha Daniel, Sherae Veselovsky, Veniamin Northwestern University EvanstonIL United States University of Minnesota MinneapolisMN United States Epfl Lausanne Switzerland Carleton College NorthfieldMN United States University of Cincinnati CincinnatiOH United States

ISBN: (纸本)9781450391900

Online volunteer work such as moderating forums and participating in open source projects not only underpins today's digital infrastructures, but also helps companies generate immense profits. However, there remains a lack of ethical norms around using volunteer labor for corporate interests, opening opportunities for unchecked extraction of online volunteer work at scale. Early evidence suggests that the extraction of online volunteer work may have negative implications on the tech ecosystem and obfuscate the potential for exploitative labor practices. In this workshop, we invite participants to discuss 1) what ethical tensions exist in the current approaches to extracting online volunteer work, 2) what ethical norms should be followed or recommended and 3) what are the opportunities for social computing technologies to promote these norms. Furthermore, we open a dialogue around whether online platforms should be providing non-monetary compensation, such as education and resources, that is often promised in in-person volunteer settings. We plan to involve a diversity of roles beyond academic researchers, such as online volunteers and practitioners to discuss these questions. © 2022 Owner/Author.

关键词： Extraction

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Pedestrian Identification and Tracking within Adaptive Collaboration Edge computing* 26

Pedestrian Identification and Tracking within Adaptive Colla...

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26th International conference on computer supported cooperative work in Design, CSCWD 2023

作者： Tao, Ming Li, Xueqiang Xie, Renping Ding, Kai Dongguan University of Technology School of Computer Science and Technology Dongguan China

ISBN: (纸本)9798350331684

Nowadays, video surveillance is widespread used to achieve security life in the construction of smart city. As a result, prevalence of video surveillance equipments and technologies enables pedestrian identification and tracking to be research hotspots in the field of computer vision, whose development and application are of great significance to the construction of a good social security environment. However, pedestrian identification and tracking in monitoring scenarios still have problems of low recognition accuracy and high model complexity, and computer vision based adaptive recognition methods still have a large room for improvement and development. To address this issue, real-time pedestrian identification and tracking within adaptive collaboration edge computing environment is investigated in this paper. Within the paradigm of edge computing, the Raspberry Pi 3B+ acting as the edge computing node is adopted to handle the related issues of pedestrian identification and tracking. The combination of HOG (Histogram of Oriented Gradient) and SVM (Support Vector Machine) is investigated to achieve pedestrian identification, where, HOG is employed as the feature descriptor and SVM is employed as the classification algorithm. Furthermore, the pixel-based visual tracking algorithm is investigated to achieve effective and uninterrupted pedestrian tracking. By implementing a prototype on Raspberry Pi 3B+ using OpenCV libraries, the experimental results finally have been shown to demonstrate the efficiency of the investigations. © 2023 IEEE.

关键词： Edge computing

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Envisioning Identity: The social Production of Human-Centric computer Vision Systems 25

Envisioning Identity: The Social Production of Human-Centric...

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25th acm conference on computer-supported cooperative work and social computing, CSCW 2022

作者： Scheuerman, Morgan Klaus Information Science University of Colorado Boulder United States

ISBN: (纸本)9781450391900

computer vision technologies have been increasingly scrutinized in recent years for their propensity to cause harm. Human-centric computer vision, systems designed to interpret visual data about humans for a variety of tasks, are perceived as particularly high risk. Broadly, the harms of human-centric computer vision focus on demographic biases (favoring one group over another) and categorical injustices (through erasure, stereotyping, or problematic labels). Prior work has focused on both uncovering these harms and mitigating them, through, for example, better dataset collection practices and guidelines for more contextual data labeling. This research has largely focused on understanding discrete computer vision artifacts, such as datasets or model outputs, and their implications for specific identity groups or privacy. There is opportunity to further understand how human identity is embedded into human-centric computer vision not only across these artifacts, but also across the network of human workers who shape computer vision systems. My dissertation focuses on understanding how human identity is conceptualized across three different "layers"of computer vision: (1) at the artifact layer, where the classification ontology is deployed, in the form of datasets and model inputs and outputs;(2) at the development layer, where social decisions are made about how to implement models and annotations by traditional tech workers;and (3) at the annotation layer, where technical specs are applied, often by human data workers. I will highlight where identity across these layers do not align and, as a result, are not necessarily predicting identity accurately or even as intended by practitioners. © 2022 Owner/Author.

关键词： computer vision

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