Proceedings of the 6th International Conference on Digital Health Conference最新文献_第4页

Session details: Big Data and Social Media for Early-warning and Emerging Epidemics 会议细节:大数据和社交媒体用于早期预警和新兴流行病

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/3257765

P. AbdelMalik

引用次数: 0

Computer-Supported Assessment for Tailoring Assistive Technology 裁缝辅助技术的计算机支持评估

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/2896338.2896352

H. Lindgren, J. Baskar, Esteban Guerrero, J. Nieves, I. Nilsson, Chunli Yan

{"title":"Computer-Supported Assessment for Tailoring Assistive Technology","authors":"H. Lindgren, J. Baskar, Esteban Guerrero, J. Nieves, I. Nilsson, Chunli Yan","doi":"10.1145/2896338.2896352","DOIUrl":"https://doi.org/10.1145/2896338.2896352","url":null,"abstract":"The main purpose of assistive technology is to support an individual's daily activities, in order to increase ability, autonomy, relatedness and quality of life. The aim for the work presented in this article is to develop automated methods to tailor the behavior of the assistive technology for the purpose to provide just-in-time, adaptive interventions targeting multiple domains. This requires methods for representing and updating the user model, including goals, preferences, abilities, activity and its situation. We focus the assessment and intervention tasks typically performed by therapists and provide knowledge-based technology for supporting the process. A formative evaluation study was conducted as a part of a participatory action research process, involving two rehabilitation experts, two young individuals and one senior individual as end-user participants, in addition to knowledge engineers. The main contribution of this work is a theory-based method for assessing the individual's goals, preferences, abilities and motives, which is used for building a holistic user model. The user model is continuously updated and functions as the base for tailoring the system's assistive behavior during intervention and follow-up.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125855800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

mHealth Technology: Towards a New Mobile Application for Caregivers of the Elderly Living with Multiple Chronic Conditions (ELMCC) 移动健康技术:为患有多种慢性疾病(ELMCC)的老年人提供一种新的移动应用程序

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/2896338.2896350

Suboh Alkhushayni, S. McRoy

{"title":"mHealth Technology: Towards a New Mobile Application for Caregivers of the Elderly Living with Multiple Chronic Conditions (ELMCC)","authors":"Suboh Alkhushayni, S. McRoy","doi":"10.1145/2896338.2896350","DOIUrl":"https://doi.org/10.1145/2896338.2896350","url":null,"abstract":"mHealth (healthcare using mobile technologies) can be a worthy tool in the care, tracking and management of chronic diseases. It also has the potential to enhance the health and the quality of life for the elderly living with multiple chronic conditions (ELMCC), especially ones who depend on others to help care for them. Critical to being able to achieve this potential, however, an application should both support the needed health management tasks and also support people's motivation to use the tool itself. To identify the desired content and features of such a mobile application for caregivers of the ELMCC, a qualitative research study of caregiving and mHealth support tools was conducted. Four focus group sessions with 27 English speaking caregivers were held in the city of Milwaukee, Wisconsin. The data was analyzed with respect to reported functional needs as well as aspects related to motivation or persuasive design. The latter analysis was based on a new synthesis of frameworks of Self-determination theory [1], Fogg's functional role triad [2], and Persuasive system design (PSD) [3,4,5]. Looking at current health tools, we found that software can function as a social actor by providing personal outreach and chat forums and can incorporate persuasive technology through games and virtual rewards, health to-do-lists, and simulations on how to communicate with ELMCC. Participants reported several desired functions including: Calendar, reminders/alerts, charts/graphs, microphone, and display of lab results. No current software appears to address all of the desired aspects predicted by our framework. Findings from the focus groups and our analysis of how software can address their motivational needs should guide the design of better mobile applications for ELMCC caregivers.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"5 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129180877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Impact of a Digital Activity Tracker-Based Workplace Activity Program on Health and Wellbeing 基于数字活动追踪器的工作场所活动计划对健康和福祉的影响

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/2896338.2896345

D. Glance, E. Ooi, Ye'elah Berman, Charlotte F. Glance, H. Barrett

{"title":"Impact of a Digital Activity Tracker-Based Workplace Activity Program on Health and Wellbeing","authors":"D. Glance, E. Ooi, Ye'elah Berman, Charlotte F. Glance, H. Barrett","doi":"10.1145/2896338.2896345","DOIUrl":"https://doi.org/10.1145/2896338.2896345","url":null,"abstract":"Chronic disease is endemic within the Australian community. 3.6 million Australians have diabetes or pre-diabetes with the number increasing by 7% each year. Fifty three percent of Australians have one or more chronic diseases. Increasing levels of activity has proved relatively straightforward, especially through workplace physical activity interventions. What is still not certain are the short, and long-term, health benefits arising from these workplace activity challenges. Research into workplace activity challenges is beset with a number of methodological obstacles that may, in part, explain why consistent outcomes have not been found from studies of this type. The aim of this study was to assess whether participation in a 16-week activity challenge would result in measurable changes in lipid profile, blood glucose, renal function, blood pressure, weight and health and well being as measured using a health and wellbeing assessment. The study demonstrated that participants could increase their levels of activity and maintain at least 10,000 steps a day for a period of 16 weeks. The study also identified that participants in teams were significantly more active than those participating as individuals. Furthermore, attrition from the activity challenge was greater amongst participants not in a team. This demonstrated the importance of social interactions, support and possibly other factors that being part of a group brought to the experience of participating in the activity challenge. In addition to the above, the challenge resulted in reductions in non-HDL cholesterol, and triglyceride concentrations and health and well being score.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128099313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

Session details: Social Computing for Physical Activity and Healthly Eating 会议详情:社会计算的体育活动和健康饮食

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-04-11 DOI: 10.1145/3257764

A. Hayward

引用次数: 0

Towards Bottom-Up Analysis of Social Food 走向自下而上的社会饮食分析

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-03-14 DOI: 10.1145/2896338.2897734

Jaclyn Rich, H. Haddadi, Timothy M. Hospedales

{"title":"Towards Bottom-Up Analysis of Social Food","authors":"Jaclyn Rich, H. Haddadi, Timothy M. Hospedales","doi":"10.1145/2896338.2897734","DOIUrl":"https://doi.org/10.1145/2896338.2897734","url":null,"abstract":"Social media provide a wealth of information for research into public health by providing a rich mix of personal data, location, hashtags, and social network information. Among these, Instagram has been recently the subject of many computational social science studies. However despite Instagram's focus on image sharing, most studies have exclusively focused on the hashtag and social network structure. In this paper we perform the first large scale content analysis of Instagram posts, addressing both the image and the associated hashtags, aiming to understand the content of partially-labelled images taken in-the-wild and the relationship with hashtags that individuals use as noisy labels. In particular, we explore the possibility of learning to recognise food image content in a data driven way, discovering both the categories of food, and how to recognise them, purely from social network data. Notably, we demonstrate that our approach to food recognition can often achieve accuracies greater than 70% in recognising popular food-related image categories, despite using no manual annotation. We highlight the current capabilities and future challenges and opportunities for such data-driven analysis of image content and the relation to hashtags.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 36

Quantified Self Meets Social Media: Sharing of Weight Updates on Twitter 量化自我与社交媒体:在推特上分享体重更新

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-02-28 DOI: 10.1145/2896338.2896363

Yafei Wang, Ingmar Weber, P. Mitra

{"title":"Quantified Self Meets Social Media: Sharing of Weight Updates on Twitter","authors":"Yafei Wang, Ingmar Weber, P. Mitra","doi":"10.1145/2896338.2896363","DOIUrl":"https://doi.org/10.1145/2896338.2896363","url":null,"abstract":"An increasing number of people use wearables and other smart devices to quantify various health conditions, ranging from sleep patterns, to body weight, to heart rates. Of these \"Quantified Selfs\" many choose to openly share their data via online social networks such as Twitter and Facebook. In this study, we use data for users who have chosen to connect their smart scales to Twitter, providing both a reliable time series of their body weight, as well as insights into their social surroundings and general online behavior. Concretely, we look at which social media features are predictive of physical status, such as body weight at the individual level, and activity patterns at the population level. We show that it is possible to predict an individual's weight using their online social behaviors, such as their self-description and tweets. Weekly and monthly patterns of quantified-self behaviors are also discovered. These findings could contribute to building models to monitor public health and to have more customized personal training interventions. While there are many studies using either quantified self or social media data in isolation, this is one of the few that combines the two data sources and, to the best of our knowledge, the only one that uses public data.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121930540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

Enabling Digital Health by Automatic Classification of Short Messages 通过短信的自动分类启用数字健康

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-02-26 DOI: 10.1145/2896338.2896364

Muhammad Imran, P. Meier, Carlos Castillo, Andre Lesa, M. García-Herranz

{"title":"Enabling Digital Health by Automatic Classification of Short Messages","authors":"Muhammad Imran, P. Meier, Carlos Castillo, Andre Lesa, M. García-Herranz","doi":"10.1145/2896338.2896364","DOIUrl":"https://doi.org/10.1145/2896338.2896364","url":null,"abstract":"In response to the growing HIV/AIDS and other health-related issues, UNICEF through their U-Report platform receives thousands of messages (SMS) every day to provide prevention strategies, health case advice, and counseling support to vulnerable population. Due to a rapid increase in U-Report usage (up to 300% in last 3 years), plus approximately 1,000 new registrations each day, the volume of messages has thus continued to increase, which made it impossible for the team at UNICEF to process them in a timely manner. In this paper, we present a platform designed to perform automatic classification of short messages (SMS) in real-time to help UNICEF categorize and prioritize health-related messages as they arrive. We employ a hybrid approach, which combines human and machine intelligence that seeks to resolve the information overload issue by introducing processing of large-scale data at high-speed while maintaining a high classification accuracy. The system has recently been tested in conjunction with UNICEF in Zambia to classify short messages received via the U-Report platform on various health related issues. The system is designed to enable UNICEF make sense of a large volume of short messages in a timely manner. In terms of evaluation, we report design choices, challenges, and performance of the system observed during the deployment to validate its effectiveness.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121471947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

The Effect of Social Feedback in a Reddit Weight Loss Community 社交反馈对Reddit减肥社区的影响

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-02-25 DOI: 10.1145/2896338.2897732

T. Cunha, Ingmar Weber, H. Haddadi, G. Pappa

{"title":"The Effect of Social Feedback in a Reddit Weight Loss Community","authors":"T. Cunha, Ingmar Weber, H. Haddadi, G. Pappa","doi":"10.1145/2896338.2897732","DOIUrl":"https://doi.org/10.1145/2896338.2897732","url":null,"abstract":"It is generally accepted as common wisdom that receiving social feedback is helpful to (i) keep an individual engaged with a community and to (ii) facilitate an individual's positive behavior change. However, quantitative data on the effect of social feedback on continued engagement in an online health community is scarce. In this work we apply Mahalanobis Distance Matching (MDM) to demonstrate the importance of receiving feedback in the \"loseit\" weight loss community on Reddit. Concretely we show that (i) even when correcting for differences in word choice, users receiving more positive feedback on their initial post are more likely to return in the future, and that (ii) there are diminishing returns and social feedback on later posts is less important than for the first post. We also give a description of the type of initial posts that are more likely to attract this valuable social feedback. Though we cannot yet argue about ultimate weight loss success or failure, we believe that understanding the social dynamics underlying online health communities is an important step to devise more effective interventions.","PeriodicalId":146447,"journal":{"name":"Proceedings of the 6th International Conference on Digital Health Conference","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115102193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34

Crowdsourcing Health Labels: Inferring Body Weight from Profile Pictures 众包健康标签:从个人资料图片推断体重

Proceedings of the 6th International Conference on Digital Health Conference Pub Date : 2016-02-23 DOI: 10.1145/2896338.2897727

Ingmar Weber, Yelena Mejova

引用次数: 25