Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella M. Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, A. Campbell
Much of the stress and strain of student life remains hidden. The StudentLife continuous sensing app assesses the day-to-day and week-by-week impact of workload on stress, sleep, activity, mood, sociability, mental well-being and academic performance of a single class of 48 students across a 10 week term at Dartmouth College using Android phones. Results from the StudentLife study show a number of significant correlations between the automatic objective sensor data from smartphones and mental health and educational outcomes of the student body. We also identify a Dartmouth term lifecycle in the data that shows students start the term with high positive affect and conversation levels, low stress, and healthy sleep and daily activity patterns. As the term progresses and the workload increases, stress appreciably rises while positive affect, sleep, conversation and activity drops off. The StudentLife dataset is publicly available on the web.
{"title":"StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones","authors":"Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella M. Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, A. Campbell","doi":"10.1145/2632048.2632054","DOIUrl":"https://doi.org/10.1145/2632048.2632054","url":null,"abstract":"Much of the stress and strain of student life remains hidden. The StudentLife continuous sensing app assesses the day-to-day and week-by-week impact of workload on stress, sleep, activity, mood, sociability, mental well-being and academic performance of a single class of 48 students across a 10 week term at Dartmouth College using Android phones. Results from the StudentLife study show a number of significant correlations between the automatic objective sensor data from smartphones and mental health and educational outcomes of the student body. We also identify a Dartmouth term lifecycle in the data that shows students start the term with high positive affect and conversation levels, low stress, and healthy sleep and daily activity patterns. As the term progresses and the workload increases, stress appreciably rises while positive affect, sleep, conversation and activity drops off. The StudentLife dataset is publicly available on the web.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84216780","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}
K. H. Jeon, S. Yeon, Young Tae Kim, Seokwoo Song, John Kim
Nonverbal children with communication disorders have difficulties communicating through oral language. To facilitate communication, Augmentative and Alternative Communication (AAC) is commonly used in intervention settingss. Different forms of AAC have been used; however, one key aspect of AAC is that children have different preferences and needs in the intervention process. One particular AAC method does not necessarily work for all children. Although robots have been used in different applications, this is one of the first times that robots have been used for improvement of communication in nonverbal children. In this work, we explore robot-based AAC through humanoid robots that assist therapists in interventions with nonverbal children. Through playing activities, our study assessed changes in gestures, vocalization, speech, and verbal expression in children. Our initial results show that robot-based AAC intervention has a positive impact on the communication skills of nonverbal children.
{"title":"Robot-based augmentative and alternative communication for nonverbal children with communication disorders","authors":"K. H. Jeon, S. Yeon, Young Tae Kim, Seokwoo Song, John Kim","doi":"10.1145/2632048.2636078","DOIUrl":"https://doi.org/10.1145/2632048.2636078","url":null,"abstract":"Nonverbal children with communication disorders have difficulties communicating through oral language. To facilitate communication, Augmentative and Alternative Communication (AAC) is commonly used in intervention settingss. Different forms of AAC have been used; however, one key aspect of AAC is that children have different preferences and needs in the intervention process. One particular AAC method does not necessarily work for all children. Although robots have been used in different applications, this is one of the first times that robots have been used for improvement of communication in nonverbal children. In this work, we explore robot-based AAC through humanoid robots that assist therapists in interventions with nonverbal children. Through playing activities, our study assessed changes in gestures, vocalization, speech, and verbal expression in children. Our initial results show that robot-based AAC intervention has a positive impact on the communication skills of nonverbal children.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84229018","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}
{"title":"Session details: Mobile performance","authors":"David Chu","doi":"10.1145/3255097","DOIUrl":"https://doi.org/10.1145/3255097","url":null,"abstract":"","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84295007","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}
K. David, Rico Kusber, Sian Lun Lau, S. Sigg, Brian D. Ziebart
The 3rd Workshop on Recent Advances in Behavior Prediction and Pro-active Pervasive Computing (AwareCast 2014) focuses on scientific contributions concerning context prediction and its applications. Scientific advances concerning, e.g. activity detection in smart homes, and time synchronization for sensing context data are addressed. In particular, this year, the focus of the workshop is on the currently most pressing issues of prediction of contexts other than location, benchmarks and common data sets as well as common development frameworks.
{"title":"3rd workshop on recent advances in behavior prediction and pro-active pervasive computing","authors":"K. David, Rico Kusber, Sian Lun Lau, S. Sigg, Brian D. Ziebart","doi":"10.1145/2638728.2641675","DOIUrl":"https://doi.org/10.1145/2638728.2641675","url":null,"abstract":"The 3rd Workshop on Recent Advances in Behavior Prediction and Pro-active Pervasive Computing (AwareCast 2014) focuses on scientific contributions concerning context prediction and its applications. Scientific advances concerning, e.g. activity detection in smart homes, and time synchronization for sensing context data are addressed. In particular, this year, the focus of the workshop is on the currently most pressing issues of prediction of contexts other than location, benchmarks and common data sets as well as common development frameworks.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85429601","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}
In this position paper we will focus on wearable activity recognitions tools in regard to their function of detecting human activities and thus enabling the user to recall everyday experience in a new way. The capabilities of activity recognition to detect, store and present activities to the person who has performed it can not only help to recall the activities but also encourage the user to remember experiences related to the activities. In order to demonstrate this, we present two projects (cases) in which wearable activity recognition is used to support the users' recall capabilities. In the next step, we present a narrative theory of action and mind, which focuses on how humans retrospectively interpret and structure personal experience in their minds, their so called autobiographical memory. Finally, we present some further concepts and distinctions about what it means to memorize and recall personal data.
{"title":"Recall your actions!: using wearable activity recognition to augment the human mind","authors":"Manuel Dietrich, Kristof Van Laerhoven","doi":"10.1145/2638728.2641714","DOIUrl":"https://doi.org/10.1145/2638728.2641714","url":null,"abstract":"In this position paper we will focus on wearable activity recognitions tools in regard to their function of detecting human activities and thus enabling the user to recall everyday experience in a new way. The capabilities of activity recognition to detect, store and present activities to the person who has performed it can not only help to recall the activities but also encourage the user to remember experiences related to the activities. In order to demonstrate this, we present two projects (cases) in which wearable activity recognition is used to support the users' recall capabilities. In the next step, we present a narrative theory of action and mind, which focuses on how humans retrospectively interpret and structure personal experience in their minds, their so called autobiographical memory. Finally, we present some further concepts and distinctions about what it means to memorize and recall personal data.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79682963","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}
My thesis focuses on the prediction of human mobility. I am interested in gaining a deeper understanding of the factors that influence the performance of human mobility prediction algorithms. The main contributions of my work are: the analyses of different factors that influence the performance of mobility predictors, the design and development of a self-adaptive approach for detecting and recognizing users' relevant places, and estimating users' momentary predictability. The latter contribution aims to enable the possibility for the application scenarios to decide how much to trust the provided predictions and mobility data.
{"title":"Adaptive sensor cooperation for predicting human mobility","authors":"Paul Baumann","doi":"10.1145/2638728.2638843","DOIUrl":"https://doi.org/10.1145/2638728.2638843","url":null,"abstract":"My thesis focuses on the prediction of human mobility. I am interested in gaining a deeper understanding of the factors that influence the performance of human mobility prediction algorithms. The main contributions of my work are: the analyses of different factors that influence the performance of mobility predictors, the design and development of a self-adaptive approach for detecting and recognizing users' relevant places, and estimating users' momentary predictability. The latter contribution aims to enable the possibility for the application scenarios to decide how much to trust the provided predictions and mobility data.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79799082","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. Kai, Ashir Ahmed, Sozo Inoue, Atsushi Taniguchi, N. Nakashima, Yasunobu Nohara, M. Kitsuregawa
In this paper, we introduce the predictive way to evolve the process of the health consultancy by predictive methods with machine learning. We have tried health consultancy for over 22,000 patients with caravan health sensing in Bangladesh during 2012-2014. In health consultancy with caravan health sensing, doctors' task becomes the bottleneck of the whole process because of the cost and the huge workload, and we try to delegate some of them to health workers who are less skilled. In this paper, we propose a method to predict the advices of doctors from the inquiry, vital data, and the chief complaints of the patients, and to delegate the task to health workers, resulting in eliminating the bottleneck. We also evaluate the accuracy of the prediction of advices from the 931 patients who have taken the doctors' consultancy out of the above experiment. We got the predict accuracy 76.24% with inquiry and vital data, and 82.55% with adding chief complaints data.
{"title":"Evolving health consultancy by predictive caravan health sensing in developing countries","authors":"E. Kai, Ashir Ahmed, Sozo Inoue, Atsushi Taniguchi, N. Nakashima, Yasunobu Nohara, M. Kitsuregawa","doi":"10.1145/2638728.2638816","DOIUrl":"https://doi.org/10.1145/2638728.2638816","url":null,"abstract":"In this paper, we introduce the predictive way to evolve the process of the health consultancy by predictive methods with machine learning. We have tried health consultancy for over 22,000 patients with caravan health sensing in Bangladesh during 2012-2014. In health consultancy with caravan health sensing, doctors' task becomes the bottleneck of the whole process because of the cost and the huge workload, and we try to delegate some of them to health workers who are less skilled. In this paper, we propose a method to predict the advices of doctors from the inquiry, vital data, and the chief complaints of the patients, and to delegate the task to health workers, resulting in eliminating the bottleneck. We also evaluate the accuracy of the prediction of advices from the 931 patients who have taken the doctors' consultancy out of the above experiment. We got the predict accuracy 76.24% with inquiry and vital data, and 82.55% with adding chief complaints data.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84526216","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}
Ubiquitous computing systems raise unprecedented challenges to how we currently elicit, secure and sustain user consent. Consent is the interactional process by which a user agrees to the terms of engagement with a system, and it represents the principle mechanism by which we protect our privacy online. However, whereas traditional online interactions are explicit, offering a series of moments at which one might inform and engage the user, the growing 'era of ubiquity' has decoupled users from devices, presenting no clear moment for consent to occur. Whilst there have been efforts to raise issues of consent within HCI and cognate disciplines, these remain disparate. The aim of this workshop is to bring together a solution-oriented community with a specific focus on consent issues within interactive environments. It will create a transnational, multidisciplinary platform for discussion and offer opportunities for collaboration, support and the development of a new research agenda.
{"title":"How do you solve a problem like consent?: the workshop","authors":"E. Luger, M. Jirotka, T. Rodden, L. Edwards","doi":"10.1145/2638728.2641676","DOIUrl":"https://doi.org/10.1145/2638728.2641676","url":null,"abstract":"Ubiquitous computing systems raise unprecedented challenges to how we currently elicit, secure and sustain user consent. Consent is the interactional process by which a user agrees to the terms of engagement with a system, and it represents the principle mechanism by which we protect our privacy online. However, whereas traditional online interactions are explicit, offering a series of moments at which one might inform and engage the user, the growing 'era of ubiquity' has decoupled users from devices, presenting no clear moment for consent to occur. Whilst there have been efforts to raise issues of consent within HCI and cognate disciplines, these remain disparate. The aim of this workshop is to bring together a solution-oriented community with a specific focus on consent issues within interactive environments. It will create a transnational, multidisciplinary platform for discussion and offer opportunities for collaboration, support and the development of a new research agenda.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"33 23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82552560","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}
Hassan Ghasemzadeh, Parisa Rashidi, Michael K. Ong, D. Cook, R. Jafari, G. Demiris, M. Pavel, M. Skubic
SmartHealthSys 2014 will be a cross-disciplinary workshop that brings researchers from engineering, computer science, and medicine together to discuss latest findings in this area and advance the field. This interactive workshop will be inspiring for anyone conducting research in the area of mobile and connected health. This includes research in technology design and development as well as clinical studies and novel application areas. The workshop is one day long and includes a keynote, paper presentation sessions, and several discussion sessions.
{"title":"SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications","authors":"Hassan Ghasemzadeh, Parisa Rashidi, Michael K. Ong, D. Cook, R. Jafari, G. Demiris, M. Pavel, M. Skubic","doi":"10.1145/2638728.2638804","DOIUrl":"https://doi.org/10.1145/2638728.2638804","url":null,"abstract":"SmartHealthSys 2014 will be a cross-disciplinary workshop that brings researchers from engineering, computer science, and medicine together to discuss latest findings in this area and advance the field. This interactive workshop will be inspiring for anyone conducting research in the area of mobile and connected health. This includes research in technology design and development as well as clinical studies and novel application areas. The workshop is one day long and includes a keynote, paper presentation sessions, and several discussion sessions.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82856901","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}
Debaleena Chattopadhyay, Said Achmiz, Shivin Saxena, M. Bansal, D. Bolchini, Stephen Voida
Large, high-resolution displays enable efficient visualization of large datasets. To interact with these large datasets, touchless interfaces can support fluid interaction at different distances from the display. Touchless gestures, however, lack haptic feedback. Hence, users' gestures may unintentionally move off the interface elements and require additional physical effort to perform intended actions. To address this problem, we propose data-morphed topographies for touchless interactions: constraints on users' cursor movements that guide touchless interaction along the structure of the visualized data. To exemplify the potential of our concept, we envision applying three data-morphed topographies---holes, pits, and valleys---to common problem-solving tasks in visual analytics.
{"title":"Holes, pits, and valleys: guiding large-display touchless interactions with data-morphed topographies","authors":"Debaleena Chattopadhyay, Said Achmiz, Shivin Saxena, M. Bansal, D. Bolchini, Stephen Voida","doi":"10.1145/2638728.2638736","DOIUrl":"https://doi.org/10.1145/2638728.2638736","url":null,"abstract":"Large, high-resolution displays enable efficient visualization of large datasets. To interact with these large datasets, touchless interfaces can support fluid interaction at different distances from the display. Touchless gestures, however, lack haptic feedback. Hence, users' gestures may unintentionally move off the interface elements and require additional physical effort to perform intended actions. To address this problem, we propose data-morphed topographies for touchless interactions: constraints on users' cursor movements that guide touchless interaction along the structure of the visualized data. To exemplify the potential of our concept, we envision applying three data-morphed topographies---holes, pits, and valleys---to common problem-solving tasks in visual analytics.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91072735","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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