E. Choe, Bongshin Lee, Haining Zhu, N. Riche, D. Baur
Rapid advancements in consumer technologies enable people to collect a wide range of personal data. With a proper means for people to ask questions and explore their data, longitudinal data feeds from multiple self-tracking tools pose great opportunities to foster deep self-reflection. However, most self-tracking tools lack support for self-reflection beyond providing simple feedback. Our overarching goal is to support self-trackers in reflecting on their data and gaining rich insights through visual data exploration. As a first step toward the goal, we built a web-based application called Visualized Self, and conducted an in-lab think-aloud study (N = 11) to examine how people reflect on their personal data and what types of insights they gain throughout the reflection. We discuss lessons learned from studying with Visualized Self, and suggest directions for designing visual data exploration tools for fostering self-reflection.
{"title":"Understanding self-reflection: how people reflect on personal data through visual data exploration","authors":"E. Choe, Bongshin Lee, Haining Zhu, N. Riche, D. Baur","doi":"10.1145/3154862.3154881","DOIUrl":"https://doi.org/10.1145/3154862.3154881","url":null,"abstract":"Rapid advancements in consumer technologies enable people to collect a wide range of personal data. With a proper means for people to ask questions and explore their data, longitudinal data feeds from multiple self-tracking tools pose great opportunities to foster deep self-reflection. However, most self-tracking tools lack support for self-reflection beyond providing simple feedback. Our overarching goal is to support self-trackers in reflecting on their data and gaining rich insights through visual data exploration. As a first step toward the goal, we built a web-based application called Visualized Self, and conducted an in-lab think-aloud study (N = 11) to examine how people reflect on their personal data and what types of insights they gain throughout the reflection. We discuss lessons learned from studying with Visualized Self, and suggest directions for designing visual data exploration tools for fostering self-reflection.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128929071","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}
E. Dolatabadi, Y. X. Zhi, B. Ye, Marge M. Coahran, Giorgia Lupinacci, Alex Mihailidis, Rosalie H. Wang, B. Taati
Stroke often leads to upper limb movement impairments. To accommodate new constraints, movement patterns are sometimes altered by stroke survivors to use stronger or unaffected joints and muscles. If used during rehabilitation exercises, however, such compensatory motions may result in ineffective outcomes. A system that can automatically detect compensatory motions would be useful in coaching stroke survivors to use proper positioning. Towards the development of such an automated tool, we present a dataset of clinically relevant motions during robotic rehabilitation exercises. The dataset is captured with a Microsoft Kinect sensor and contains two groups of participants -- 10 healthy and 9 stroke survivors - performing a series of seated motions using an upper-limb rehabilitation robot. Healthy participants performed additional sets of scripted motions to simulate common post-stroke compensatory movements. The dataset also includes common clinical assessment scores. Compensatory motions of both healthy and stroke participants were annotated by two experts and are included in the dataset. We also present a preliminary evaluation of the dataset in terms of its sensitivity and specificity in detecting compensatory movements for selected tasks. This dataset is valuable because it includes clinically relevant motions in a clinical setting using a cost-effective, portable, and convenient sensor.
{"title":"The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy","authors":"E. Dolatabadi, Y. X. Zhi, B. Ye, Marge M. Coahran, Giorgia Lupinacci, Alex Mihailidis, Rosalie H. Wang, B. Taati","doi":"10.1145/3154862.3154925","DOIUrl":"https://doi.org/10.1145/3154862.3154925","url":null,"abstract":"Stroke often leads to upper limb movement impairments. To accommodate new constraints, movement patterns are sometimes altered by stroke survivors to use stronger or unaffected joints and muscles. If used during rehabilitation exercises, however, such compensatory motions may result in ineffective outcomes. A system that can automatically detect compensatory motions would be useful in coaching stroke survivors to use proper positioning. Towards the development of such an automated tool, we present a dataset of clinically relevant motions during robotic rehabilitation exercises. The dataset is captured with a Microsoft Kinect sensor and contains two groups of participants -- 10 healthy and 9 stroke survivors - performing a series of seated motions using an upper-limb rehabilitation robot. Healthy participants performed additional sets of scripted motions to simulate common post-stroke compensatory movements. The dataset also includes common clinical assessment scores. Compensatory motions of both healthy and stroke participants were annotated by two experts and are included in the dataset. We also present a preliminary evaluation of the dataset in terms of its sensitivity and specificity in detecting compensatory movements for selected tasks. This dataset is valuable because it includes clinically relevant motions in a clinical setting using a cost-effective, portable, and convenient sensor.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125858924","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}
R. O. D. Akker, R. Klaassen, K. Bul, P. Kato, G. V. D. Burg, P. Bitonto
In this paper we describe a platform that integrates gaming and coaching for adolescent patients with type 1 diabetes and results from user evaluations of the platform. The purpose of the platform is to support patients in diabetes self-management through educational game playing, monitoring and motivational feedback, and to support patients' care givers. We describe the design of the platform referring to principles from health care, persuasive system design and game design. The virtual coach is a game guide that can also provide personalized feedback about the user's daily care related activities which have value for making progress in the game world. We report about user evaluations in the wild which revealed that some assumptions made about how users are connected to the platform were not satisfied in reality, resulting in less optimal user experiences. We discuss challenges with suggestions for further development of integrated pervasive coaching and gamification platforms.
{"title":"Let them play: experiences in the wild with a gamification and coaching system for young diabetes patients","authors":"R. O. D. Akker, R. Klaassen, K. Bul, P. Kato, G. V. D. Burg, P. Bitonto","doi":"10.1145/3154862.3154931","DOIUrl":"https://doi.org/10.1145/3154862.3154931","url":null,"abstract":"In this paper we describe a platform that integrates gaming and coaching for adolescent patients with type 1 diabetes and results from user evaluations of the platform. The purpose of the platform is to support patients in diabetes self-management through educational game playing, monitoring and motivational feedback, and to support patients' care givers. We describe the design of the platform referring to principles from health care, persuasive system design and game design. The virtual coach is a game guide that can also provide personalized feedback about the user's daily care related activities which have value for making progress in the game world. We report about user evaluations in the wild which revealed that some assumptions made about how users are connected to the platform were not satisfied in reality, resulting in less optimal user experiences. We discuss challenges with suggestions for further development of integrated pervasive coaching and gamification platforms.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131877453","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}
Tina Chien-Wen Yuan, Jessica Kropczynski, Richard J. Wirth, M. Rosson, John Millar Carroll
In this survey study, we extend previous research by investigating the influence of both whole network and individual ego networks on older adults' perceived well-being from the perspective of salutogenesis. We especially take interest in their coproduction engagement where people actively involve one another in doing different types of activities to maintain health. Participants included 173 older adults aged 60 or older from retirement communities and people who age-in-place. Using social network analysis, we found network characteristics like density, degree centrality, or diameter were not associated with older adults' coproduction engagement and psychological well-being. We further found that coproduction activities may be an important mediator because our CCRC and AiP participants had similar level of coproductions and psychological well-being. Based on the results, we suggest that technological designs should facilitate older adults' coproduction by supporting diversity, expanding coproduction networks, and having customizations for different community structures in order to promote smart and connected health.
{"title":"Investigating older adults' social networks and coproduction activities for health","authors":"Tina Chien-Wen Yuan, Jessica Kropczynski, Richard J. Wirth, M. Rosson, John Millar Carroll","doi":"10.1145/3154862.3154876","DOIUrl":"https://doi.org/10.1145/3154862.3154876","url":null,"abstract":"In this survey study, we extend previous research by investigating the influence of both whole network and individual ego networks on older adults' perceived well-being from the perspective of salutogenesis. We especially take interest in their coproduction engagement where people actively involve one another in doing different types of activities to maintain health. Participants included 173 older adults aged 60 or older from retirement communities and people who age-in-place. Using social network analysis, we found network characteristics like density, degree centrality, or diameter were not associated with older adults' coproduction engagement and psychological well-being. We further found that coproduction activities may be an important mediator because our CCRC and AiP participants had similar level of coproductions and psychological well-being. Based on the results, we suggest that technological designs should facilitate older adults' coproduction by supporting diversity, expanding coproduction networks, and having customizations for different community structures in order to promote smart and connected health.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124716308","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}
V. Osmani, S. Forti, O. Mayora-Ibarra, D. Conforti
Electronic Health Records (EHR) have been one of the factors in transforming healthcare and health management by providing electronic access to information recorded on paper charts. However, increasing interest of patients to be actively involved in the management of their condition and their health has necessitated evolution of EHRs so as to accommodate patients' role in the care loop. In response, Personal Health Records (PHR) have been developed that are patient-facing and provide the possibility to enrich EHRs data using data sources that have not been considered in the traditional healthcare, either due to unavailability or difficulty in acquiring data. An example of PHR is TreC platform, designed and validated by our research group. We provide an overview of TreC PHR, describe the challenges and provide an outlook on future opportunities.
电子健康记录(EHR)通过提供对记录在纸质图表上的信息的电子访问，已成为改变医疗保健和健康管理的因素之一。然而，患者对积极参与其病情和健康管理的兴趣日益增加，这使得电子病历的发展成为必要，以适应患者在护理循环中的作用。为此，开发了面向患者的个人健康记录(Personal Health Records, PHR)，并提供了使用传统医疗保健中由于不可用或难以获取数据而未考虑的数据源来丰富电子病历数据的可能性。PHR的一个例子是TreC平台，由我们的研究小组设计和验证。我们概述了TreC PHR，描述了挑战，并展望了未来的机遇。
{"title":"Challenges and opportunities in evolving TreC personal health record platform","authors":"V. Osmani, S. Forti, O. Mayora-Ibarra, D. Conforti","doi":"10.1145/3154862.3154910","DOIUrl":"https://doi.org/10.1145/3154862.3154910","url":null,"abstract":"Electronic Health Records (EHR) have been one of the factors in transforming healthcare and health management by providing electronic access to information recorded on paper charts. However, increasing interest of patients to be actively involved in the management of their condition and their health has necessitated evolution of EHRs so as to accommodate patients' role in the care loop. In response, Personal Health Records (PHR) have been developed that are patient-facing and provide the possibility to enrich EHRs data using data sources that have not been considered in the traditional healthcare, either due to unavailability or difficulty in acquiring data. An example of PHR is TreC platform, designed and validated by our research group. We provide an overview of TreC PHR, describe the challenges and provide an outlook on future opportunities.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132644851","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}
Marialejandra García-Corretjer, Sergi Navarro-Aubanell, David Miralles
This paper proposes a new tool of measurement for Self-Knowledge and monitoring of health. The presented concept leverages on people's self-reflection, empathetic interactions with smart objects, and HCI applications to reach transformative insight and Self-Knowledge. The particular emphasis is on evaluating needed variables within the processes of Personal-Informatics, Self-Reflection, and Realizing Empathy found as gaps in fields contributing to Self-tracking and analysis. After those variables were translated into designed, interactive, smart behaviors, tests were done to verify their initial effectiveness a new method for visualizing and understanding one's own data measurement, encouraging the person to Self-Reflect. The concept is contextualized within a dieting or body regime experience.
{"title":"Towards a new measurement language for self-knowledge in personal-informatics","authors":"Marialejandra García-Corretjer, Sergi Navarro-Aubanell, David Miralles","doi":"10.1145/3154862.3154934","DOIUrl":"https://doi.org/10.1145/3154862.3154934","url":null,"abstract":"This paper proposes a new tool of measurement for Self-Knowledge and monitoring of health. The presented concept leverages on people's self-reflection, empathetic interactions with smart objects, and HCI applications to reach transformative insight and Self-Knowledge. The particular emphasis is on evaluating needed variables within the processes of Personal-Informatics, Self-Reflection, and Realizing Empathy found as gaps in fields contributing to Self-tracking and analysis. After those variables were translated into designed, interactive, smart behaviors, tests were done to verify their initial effectiveness a new method for visualizing and understanding one's own data measurement, encouraging the person to Self-Reflect. The concept is contextualized within a dieting or body regime experience.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134532701","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}
D. Aranki, U. Balakrishnan, H. Sarver, Lucas Serven, Carlos Asuncion, Kaidi Du, Caitlin Gruis, Gao Xian Peh, Yu Xiao, R. Bajcsy
Long-distance running is a category of sports that is injury-prone. Half of the injuries sustained in long-distance running are at the knee and are attributed to the inability of the lower extremity joints to sufficiently handle the load applied during initial stance. Furthermore, cadence (steps per minute) has been identified as a factor that is strongly associated with running-related injuries. Increasing cadence results in reduced energy absorption at the hip and the knee, thus reducing the risk of some common running injuries. Therefore, it is vital for runners to run at an appropriate running cadence in order to minimize risk of injury. In this paper, we present an mHealth system that remotely monitors running cadence levels of runners in a continuous fashion, among other variables, and provides immediate feedback to runners in an effort to help them optimize their running cadence. We also present some initial findings based on a feasibility study we are currently conducting using this system.
{"title":"RunningCoach: cadence training system for long-distance runners","authors":"D. Aranki, U. Balakrishnan, H. Sarver, Lucas Serven, Carlos Asuncion, Kaidi Du, Caitlin Gruis, Gao Xian Peh, Yu Xiao, R. Bajcsy","doi":"10.1145/3154862.3154935","DOIUrl":"https://doi.org/10.1145/3154862.3154935","url":null,"abstract":"Long-distance running is a category of sports that is injury-prone. Half of the injuries sustained in long-distance running are at the knee and are attributed to the inability of the lower extremity joints to sufficiently handle the load applied during initial stance. Furthermore, cadence (steps per minute) has been identified as a factor that is strongly associated with running-related injuries. Increasing cadence results in reduced energy absorption at the hip and the knee, thus reducing the risk of some common running injuries. Therefore, it is vital for runners to run at an appropriate running cadence in order to minimize risk of injury. In this paper, we present an mHealth system that remotely monitors running cadence levels of runners in a continuous fashion, among other variables, and provides immediate feedback to runners in an effort to help them optimize their running cadence. We also present some initial findings based on a feasibility study we are currently conducting using this system.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133545245","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}
This position paper presents our preliminary design of a smartphone-based behavioral activation method for unipolar disorder. The method relies on extensive collection of patient generated data on hourly activity. We report on the background for the study and the methods applied in the ongoing design process. The paper ends by discussing the challenges associated with such detailed experience sampling.
{"title":"Designing for hourly activity sampling in behavioral activation","authors":"D. Rohani, N. Tuxen, L. Kessing, J. Bardram","doi":"10.1145/3154862.3154919","DOIUrl":"https://doi.org/10.1145/3154862.3154919","url":null,"abstract":"This position paper presents our preliminary design of a smartphone-based behavioral activation method for unipolar disorder. The method relies on extensive collection of patient generated data on hourly activity. We report on the background for the study and the methods applied in the ongoing design process. The paper ends by discussing the challenges associated with such detailed experience sampling.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133737446","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}
Telemedicine has been regarded as the natural application of information and telecommunication technology to health and healthcare. But until now its application has been limited, and mostly focused on specialized environments. The evolution of ubiquitous sensors and the pervasiveness of mobile devices, including the growing capability to sense remote parties, is opening up new exciting opportunities pioneered by mHealth applications on our mobile devices. Coupling advances in real-world sensing with multimodal signal processing and machine learning techniques is equipping us with 'super powers' that enable understanding of health-related data in real-time, opening up new opportunities to embrace 'Data Science in the Wild'. On the other side, exciting advances in augmented and mixed reality are enabling immersive experiences that are paving the way for the next generation of telemedicine through wearable see-through augmented reality displays. We believe that the intersection of these two exciting technologies currently represents one of the cornerstones for Pervasive Telemedicine. We contextualize the sensing-intervention-visualization continuum in pervasive health, by illustrating two examples from our research in terms of (i) remote assessment of stroke through multimodal pervasive sensing, and (ii) immersive mixed reality tele-surgery and holopresence. The goal is to stimulate conversation around opportunities and limits of these technologies for pervasive telemedicine.
{"title":"New frontiers for pervasive telemedicine: from data science in the wild to HoloPresence","authors":"Nadir Weibel","doi":"10.1145/3154862.3154912","DOIUrl":"https://doi.org/10.1145/3154862.3154912","url":null,"abstract":"Telemedicine has been regarded as the natural application of information and telecommunication technology to health and healthcare. But until now its application has been limited, and mostly focused on specialized environments. The evolution of ubiquitous sensors and the pervasiveness of mobile devices, including the growing capability to sense remote parties, is opening up new exciting opportunities pioneered by mHealth applications on our mobile devices. Coupling advances in real-world sensing with multimodal signal processing and machine learning techniques is equipping us with 'super powers' that enable understanding of health-related data in real-time, opening up new opportunities to embrace 'Data Science in the Wild'. On the other side, exciting advances in augmented and mixed reality are enabling immersive experiences that are paving the way for the next generation of telemedicine through wearable see-through augmented reality displays. We believe that the intersection of these two exciting technologies currently represents one of the cornerstones for Pervasive Telemedicine. We contextualize the sensing-intervention-visualization continuum in pervasive health, by illustrating two examples from our research in terms of (i) remote assessment of stroke through multimodal pervasive sensing, and (ii) immersive mixed reality tele-surgery and holopresence. The goal is to stimulate conversation around opportunities and limits of these technologies for pervasive telemedicine.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114715987","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}
Healthy lifestyles promotion is the main objective of primary care interventions, starting from the pediatric age, were overweight is nowadays exposing about one third of children to the risk of developing chronic diseases, such as diabetes. Recent years have seen a blast of mHealth apps for health promotion, targeting in particular nutrition and dietary behaviour change. However, reviews show difficulties in the adoption and effective usage of these applications in telemedicine and by the population in general, due to a lack of evidence-based content and strategies provided (e.g., by commercial apps) or lack of sufficient user engagement with the apps. Nutrition apps typically require self-reporting of food intake by the user which is often seen as a burden and a cause of abandonment of the app. However, current wave of research has taken up the challenge of promoting healthy lifestyles with advances in artificial intelligence (AI). This paper focus on AI chatbots as an innovative approach offering more simplicity and facilitating long-term adherence to health promotion interventions. Conversational assistants provide the advantage of being deployed in smartphones and laptops within a wide variety of applications. We will particularly focus on harnessing the power of intelligent chatbot systems to provide behaviour change interventions in telemedicine for healthy lifestyle promotion. We describe an application scenario for an AI-chatbot delivering support to nutrition education that could help to overcome current limitations of similar mHealth solutions provided for healthy lifestyles and contribute to more effective public health interventions in this application domain.
{"title":"Addressing challenges in promoting healthy lifestyles: the al-chatbot approach","authors":"Ahmed Fadhil, S. Gabrielli","doi":"10.1145/3154862.3154914","DOIUrl":"https://doi.org/10.1145/3154862.3154914","url":null,"abstract":"Healthy lifestyles promotion is the main objective of primary care interventions, starting from the pediatric age, were overweight is nowadays exposing about one third of children to the risk of developing chronic diseases, such as diabetes. Recent years have seen a blast of mHealth apps for health promotion, targeting in particular nutrition and dietary behaviour change. However, reviews show difficulties in the adoption and effective usage of these applications in telemedicine and by the population in general, due to a lack of evidence-based content and strategies provided (e.g., by commercial apps) or lack of sufficient user engagement with the apps. Nutrition apps typically require self-reporting of food intake by the user which is often seen as a burden and a cause of abandonment of the app. However, current wave of research has taken up the challenge of promoting healthy lifestyles with advances in artificial intelligence (AI). This paper focus on AI chatbots as an innovative approach offering more simplicity and facilitating long-term adherence to health promotion interventions. Conversational assistants provide the advantage of being deployed in smartphones and laptops within a wide variety of applications. We will particularly focus on harnessing the power of intelligent chatbot systems to provide behaviour change interventions in telemedicine for healthy lifestyle promotion. We describe an application scenario for an AI-chatbot delivering support to nutrition education that could help to overcome current limitations of similar mHealth solutions provided for healthy lifestyles and contribute to more effective public health interventions in this application domain.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131929730","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}
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