CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work最新文献

Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools. 调查情境干扰因素在使用数字心理健康工具中的作用。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2025-11-01 Epub Date: 2025-10-16 DOI: 10.1145/3757487

Ananya Bhattacharjee, Joseph Jay Williams, Miranda Beltzer, Jonah Meyerhoff, Harsh Kumar, Haochen Song, David C Mohr, Alex Mariakakis, Rachel Kornfield

{"title":"Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools.","authors":"Ananya Bhattacharjee, Joseph Jay Williams, Miranda Beltzer, Jonah Meyerhoff, Harsh Kumar, Haochen Song, David C Mohr, Alex Mariakakis, Rachel Kornfield","doi":"10.1145/3757487","DOIUrl":"10.1145/3757487","url":null,"abstract":"Challenges in engagement with digital mental health (DMH) tools are commonly addressed through technical enhancements and algorithmic interventions. This paper shifts the focus towards the role of users' broader social context as a significant factor in engagement. Through an eight-week text messaging program aimed at enhancing psychological wellbeing, we recruited 20 participants to help us identify situational engagement disruptors (SEDs), including personal responsibilities, professional obligations, and unexpected health issues. In follow-up design workshops with 25 participants, we explored potential solutions that address such SEDs: prioritizing self-care through structured goal-setting, alternative framings for disengagement, and utilization of external resources. Our findings challenge conventional perspectives on engagement and offer actionable design implications for future DMH tools.","PeriodicalId":90149,"journal":{"name":"CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work","volume":"9 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12843135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146095140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Safe Enough to Share: Setting the Dementia Agenda Online. 安全到可以分享：在线设置痴呆症议程。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2019-11-01

Amanda Lazar, Emma Dixon

引用次数: 0

Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals. 支持患者与医疗服务提供者合作，利用食物和症状日志识别个人触发因素。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2017-02-25 DOI: 10.1145/2998181.2998276

Jessica Schroeder, Jane Hoffswell, Chia-Fang Chung, James Fogarty, Sean Munson, Jasmine Zia

{"title":"Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals.","authors":"Jessica Schroeder, Jane Hoffswell, Chia-Fang Chung, James Fogarty, Sean Munson, Jasmine Zia","doi":"10.1145/2998181.2998276","DOIUrl":"10.1145/2998181.2998276","url":null,"abstract":"Patient-generated data can allow patients and providers to collaboratively develop accurate diagnoses and actionable treatment plans. Unfortunately, patients and providers often lack effective support to make use of such data. We examine patient-provider collaboration to interpret patient-generated data. We focus on irritable bowel syndrome (IBS), a chronic illness in which particular foods can exacerbate symptoms. IBS management often requires patient-provider collaboration using a patient's food and symptom journal to identify the patient's triggers. We contribute interactive visualizations to support exploration of such journals, as well as an examination of patient-provider collaboration in interpreting the journals. Drawing upon individual and collaborative interviews with patients and providers, we find that collaborative review helps improve data comprehension and build mutual trust. We also find a desire to use tools like our interactive visualizations within and beyond clinic appointments. We discuss these findings and present guidance for the design of future tools.","PeriodicalId":90149,"journal":{"name":"CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work","volume":"2017 ","pages":"1726-1739"},"PeriodicalIF":0.0,"publicationDate":"2017-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432206/pdf/nihms855299.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35005381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. 任何人都可以成为喷子:网络讨论中喷子行为的原因。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2017-02-01 DOI: 10.1145/2998181.2998213

Justin Cheng, Michael Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec

{"title":"Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions.","authors":"Justin Cheng, Michael Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec","doi":"10.1145/2998181.2998213","DOIUrl":"https://doi.org/10.1145/2998181.2998213","url":null,"abstract":"In online communities, antisocial behavior such as trolling disrupts constructive discussion. While prior work suggests that trolling behavior is confined to a vocal and antisocial minority, we demonstrate that ordinary people can engage in such behavior as well. We propose two primary trigger mechanisms: the individual's mood, and the surrounding context of a discussion (e.g., exposure to prior trolling behavior). Through an experiment simulating an online discussion, we find that both negative mood and seeing troll posts by others significantly increases the probability of a user trolling, and together double this probability. To support and extend these results, we study how these same mechanisms play out in the wild via a data-driven, longitudinal analysis of a large online news discussion community. This analysis reveals temporal mood effects, and explores long range patterns of repeated exposure to trolling. A predictive model of trolling behavior shows that mood and discussion context together can explain trolling behavior better than an individual's history of trolling. These results combine to suggest that ordinary people can, under the right circumstances, behave like trolls.","PeriodicalId":90149,"journal":{"name":"CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work","volume":"2017 ","pages":"1217-1230"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2998181.2998213","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35793384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 398

Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda. 用维基百科衡量全球疾病：成功、失败与研究议程。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2017-02-01 DOI: 10.1145/2998181.2998183

Reid Priedhorsky, Dave Osthus, Ashlynn R Daughton, Kelly R Moran, Nicholas Generous, Geoffrey Fairchild, Alina Deshpande, Sara Y Del Valle

{"title":"Measuring Global Disease with Wikipedia: Success, Failure, and a Research Agenda.","authors":"Reid Priedhorsky, Dave Osthus, Ashlynn R Daughton, Kelly R Moran, Nicholas Generous, Geoffrey Fairchild, Alina Deshpande, Sara Y Del Valle","doi":"10.1145/2998181.2998183","DOIUrl":"10.1145/2998181.2998183","url":null,"abstract":"Effective disease monitoring provides a foundation for effective public health systems. This has historically been accomplished with patient contact and bureaucratic aggregation, which tends to be slow and expensive. Recent internet-based approaches promise to be real-time and cheap, with few parameters. However, the question of when and how these approaches work remains open. We addressed this question using Wikipedia access logs and category links. Our experiments, replicable and extensible using our open source code and data, test the effect of semantic article filtering, amount of training data, forecast horizon, and model staleness by comparing across 6 diseases and 4 countries using thousands of individual models. We found that our minimal-configuration, language-agnostic article selection process based on semantic relatedness is effective for improving predictions, and that our approach is relatively insensitive to the amount and age of training data. We also found, in contrast to prior work, very little forecasting value, and we argue that this is consistent with theoretical considerations about the nature of forecasting. These mixed results lead us to propose that the currently observational field of internet-based disease surveillance must pivot to include theoretical models of information flow as well as controlled experiments based on simulations of disease.","PeriodicalId":90149,"journal":{"name":"CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work","volume":"2017 ","pages":"1812-1834"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542563/pdf/nihms875530.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35248524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing Behavioral Stages From Social Media Data. 从社交媒体数据评估行为阶段。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2017-02-01 DOI: 10.1145/2998181.2998336

Jason Liu, Elissa R Weitzman, Rumi Chunara

{"title":"Assessing Behavioral Stages From Social Media Data.","authors":"Jason Liu, Elissa R Weitzman, Rumi Chunara","doi":"10.1145/2998181.2998336","DOIUrl":"https://doi.org/10.1145/2998181.2998336","url":null,"abstract":"Important work rooted in psychological theory posits that health behavior change occurs through a series of discrete stages. Our work builds on the field of social computing by identifying how social media data can be used to resolve behavior stages at high resolution (e.g. hourly/daily) for key population subgroups and times. In essence this approach opens new opportunities to advance psychological theories and better understand how our health is shaped based on the real, dynamic, and rapid actions we make every day. To do so, we bring together domain knowledge and machine learning methods to form a hierarchical classification of Twitter data that resolves different stages of behavior. We identify and examine temporal patterns of the identified stages, with alcohol as a use case (planning or looking to drink, currently drinking, and reflecting on drinking). Known seasonal trends are compared with findings from our methods. We discuss the potential health policy implications of detecting high frequency behavior stages.","PeriodicalId":90149,"journal":{"name":"CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work","volume":"2017 ","pages":"1320-1333"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2998181.2998336","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35453046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 33

Computational Approaches Toward Integrating Quantified Self Sensing and Social Media. 整合量化自我感觉和社会媒体的计算方法。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2017-02-01 DOI: 10.1145/2998181.2998219

Munmun De Choudhury, Mrinal Kumar, Ingmar Weber

{"title":"Computational Approaches Toward Integrating Quantified Self Sensing and Social Media.","authors":"Munmun De Choudhury, Mrinal Kumar, Ingmar Weber","doi":"10.1145/2998181.2998219","DOIUrl":"https://doi.org/10.1145/2998181.2998219","url":null,"abstract":"The growing amount of data collected by quantified self tools and social media hold great potential for applications in personalized medicine. Whereas the first includes health-related physiological signals, the latter provides insights into a user's behavior. However, the two sources of data have largely been studied in isolation. We analyze public data from users who have chosen to connect their MyFitnessPal and Twitter accounts. We show that a user's diet compliance success, measured via their self-logged food diaries, can be predicted using features derived from social media: linguistic, activity, and social capital. We find that users with more positive affect and a larger social network are more successful in succeeding in their dietary goals. Using a Granger causality methodology, we also show that social media can help predict daily changes in diet compliance success or failure with an accuracy of 77%, that improves over baseline techniques by 17%. We discuss the implications of our work in the design of improved health interventions for behavior change.","PeriodicalId":90149,"journal":{"name":"CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work","volume":"2017 ","pages":"1334-1349"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2998181.2998219","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35297820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Boundary Negotiating Artifacts in Personal Informatics: Patient-Provider Collaboration with Patient-Generated Data. 个人信息学中的边界谈判工件:患者-提供者与患者生成数据的协作。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2016-02-27 DOI: 10.1145/2818048.2819926

Chia-Fang Chung, Kristin Dew, Allison Cole, Jasmine Zia, James Fogarty, Julie A Kientz, Sean A Munson

{"title":"Boundary Negotiating Artifacts in Personal Informatics: Patient-Provider Collaboration with Patient-Generated Data.","authors":"Chia-Fang Chung, Kristin Dew, Allison Cole, Jasmine Zia, James Fogarty, Julie A Kientz, Sean A Munson","doi":"10.1145/2818048.2819926","DOIUrl":"https://doi.org/10.1145/2818048.2819926","url":null,"abstract":"Patient-generated data is increasingly common in chronic disease care management. Smartphone applications and wearable sensors help patients more easily collect health information. However, current commercial tools often do not effectively support patients and providers in collaboration surrounding these data. This paper examines patient expectations and current collaboration practices around patient-generated data. We survey 211 patients, interview 18 patients, and re-analyze a dataset of 21 provider interviews. We find that collaboration occurs in every stage of self-tracking and that patients and providers create boundary negotiating artifacts to support the collaboration. Building upon current practices with patient-generated data, we use these theories of patient and provider collaboration to analyze misunderstandings and privacy concerns as well as identify opportunities to better support these collaborations. We reflect on the social nature of patient-provider collaboration to suggest future development of the stage-based model of personal informatics and the theory of boundary negotiating artifacts.","PeriodicalId":90149,"journal":{"name":"CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work","volume":"2016 ","pages":"770-786"},"PeriodicalIF":0.0,"publicationDate":"2016-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2818048.2819926","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35005379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 37

Partners in Care: Design Considerations for Caregivers and Patients During a Hospital Stay. 护理中的合作伙伴:住院期间护理人员和患者的设计考虑。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2016-02-01 DOI: 10.1145/2818048.2819983

Andrew D Miller, Sonali R Mishra, Logan Kendall, Shefali Haldar, Ari H Pollack, Wanda Pratt

{"title":"Partners in Care: Design Considerations for Caregivers and Patients During a Hospital Stay.","authors":"Andrew D Miller, Sonali R Mishra, Logan Kendall, Shefali Haldar, Ari H Pollack, Wanda Pratt","doi":"10.1145/2818048.2819983","DOIUrl":"https://doi.org/10.1145/2818048.2819983","url":null,"abstract":"Informal caregivers, such as close friends and family, play an important role in a hospital patient's care. Although CSCW researchers have shown the potential for social computing technologies to help patients and their caregivers manage chronic conditions and support health behavior change, few studies focus on caregivers' role during a multi-day hospital stay. To explore this space, we conducted an interview and observation study of patients and caregivers in the inpatient setting. In this paper, we describe how caregivers and patients coordinate and collaborate to manage patients' care and wellbeing during a hospital stay. We define and describe five roles caregivers adopt: companion, assistant, representative, navigator, and planner, and show how patients and caregivers negotiate these roles and responsibilities throughout a hospital stay. Finally, we identify key design considerations for technology to support patients and caregivers during a hospital stay.","PeriodicalId":90149,"journal":{"name":"CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work","volume":"2016 ","pages":"756-769"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2818048.2819983","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34521559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 95

Automatic Archiving versus Default Deletion: What Snapchat Tells Us About Ephemerality in Design. 自动存档与默认删除:Snapchat告诉我们的设计的短暂性。

CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work Pub Date : 2016-02-01 DOI: 10.1145/2818048.2819948

Bin Xu, Pamara Chang, Christopher L Welker, Natalya N Bazarova, Dan Cosley

{"title":"Automatic Archiving versus Default Deletion: What Snapchat Tells Us About Ephemerality in Design.","authors":"Bin Xu, Pamara Chang, Christopher L Welker, Natalya N Bazarova, Dan Cosley","doi":"10.1145/2818048.2819948","DOIUrl":"https://doi.org/10.1145/2818048.2819948","url":null,"abstract":"Unlike most social media, where automatic archiving of data is the default, Snapchat defaults to ephemerality: deleting content shortly after it is viewed by a receiver. Interviews with 25 Snapchat users show that ephemerality plays a key role in shaping their practices. Along with friend-adding features that facilitate a network of mostly close relations, default deletion affords everyday, mundane talk and reduces self-consciousness while encouraging playful interaction. Further, although receivers can save content through screenshots, senders are notified; this selective saving with notification supports complex information norms that preserve the feel of ephemeral communication while supporting the capture of meaningful content. This dance of giving and taking, sharing and showing, and agency for both senders and receivers provides the basis for a rich design space of mechanisms, levels, and domains for ephemerality.","PeriodicalId":90149,"journal":{"name":"CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work","volume":"2016 ","pages":"1662-1675"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2818048.2819948","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36553709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 96