Physical inactivity is an increasingly serious global health problem, which implies a strong need for effective and engaging interventions. Smartphone technology offers new possibilities to address physical activity promotion. For app-based interventions to have an impact, both the effectiveness and user appreciation of the app are important. In this paper, we explore the user appreciation of the Active2Gether intervention, which offers personalized coaching to increase physical activity levels in daily life. The results are compared to the evaluation of a simplified version of the Active2Gether app (in which no coaching messages are sent) and the Fitbit app. Overall, the results reveal that users of a physical activity app appreciate a coaching feature to be included (on top of self-monitoring functionalities), but are also critical of how it is implemented (in terms of the number and content of the messages). The results also show that it is important to find a balance in the number of messages sent: too many messages seem to be perceived as annoying, but on the other hand, such system-initiated user interaction seems to reduce dropout.
{"title":"Evaluation of a personalized coaching system for physical activity: user appreciation and adherence","authors":"J. Mollee, A. Middelweerd, S. T. Velde, M. Klein","doi":"10.1145/3154862.3154933","DOIUrl":"https://doi.org/10.1145/3154862.3154933","url":null,"abstract":"Physical inactivity is an increasingly serious global health problem, which implies a strong need for effective and engaging interventions. Smartphone technology offers new possibilities to address physical activity promotion. For app-based interventions to have an impact, both the effectiveness and user appreciation of the app are important. In this paper, we explore the user appreciation of the Active2Gether intervention, which offers personalized coaching to increase physical activity levels in daily life. The results are compared to the evaluation of a simplified version of the Active2Gether app (in which no coaching messages are sent) and the Fitbit app. Overall, the results reveal that users of a physical activity app appreciate a coaching feature to be included (on top of self-monitoring functionalities), but are also critical of how it is implemented (in terms of the number and content of the messages). The results also show that it is important to find a balance in the number of messages sent: too many messages seem to be perceived as annoying, but on the other hand, such system-initiated user interaction seems to reduce dropout.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"57 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":"129023739","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}
F. Rajabiyazdi, Charles Perin, Jo Vermeulen, H. MacLeod, D. Gromala, M. Carpendale
We provide an integrated view of patients' and clinicians' perspectives on the communication challenges faced when patients present their medical issues to the clinicians. By combining the results of a literature review from both the HCI and medical literature with the results of clinician interviews explicitly about in-clinic communication issues, we are able to offer a more complete picture of these crucial in-clinic communication challenges. We discuss similarities and subtle but important differences between patients' and clinicians' perspectives. While patients and clinicians are often talking about the same issue, we found that they differ considerably in opinion and attitude. Drawing upon these subtle yet significant differences and ideas raised by the interviewed clinicians, we offer research suggestions for the design of future in-clinic communication tools.
{"title":"Differences that matter: in-clinic communication challenges","authors":"F. Rajabiyazdi, Charles Perin, Jo Vermeulen, H. MacLeod, D. Gromala, M. Carpendale","doi":"10.1145/3154862.3154885","DOIUrl":"https://doi.org/10.1145/3154862.3154885","url":null,"abstract":"We provide an integrated view of patients' and clinicians' perspectives on the communication challenges faced when patients present their medical issues to the clinicians. By combining the results of a literature review from both the HCI and medical literature with the results of clinician interviews explicitly about in-clinic communication issues, we are able to offer a more complete picture of these crucial in-clinic communication challenges. We discuss similarities and subtle but important differences between patients' and clinicians' perspectives. While patients and clinicians are often talking about the same issue, we found that they differ considerably in opinion and attitude. Drawing upon these subtle yet significant differences and ideas raised by the interviewed clinicians, we offer research suggestions for the design of future in-clinic communication tools.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"20 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":"127904854","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}
Jörg Sander, A. D. Schipper, A. Brons, Svetlana Mironcika, Huub Toussaint, B. Schouten, B. Kröse
This paper describes experiments with a game device that was used for early detection of delays in motor skill development in primary school children. Children play a game by bi-manual manipulation of the device which continuously collects accelerometer data and game state data. Features of the data are used to discriminate between normal children and children with delays. This study focused on the feature selection. Three features were compared: mean squared jerk (time domain); power spectral entropy (fourier domain) and cosine similarity measure (quality of game play). The discriminatory power of the features was tested in an experiment where 28 children played games of different levels of difficulty. The results show that jerk and cosine similarity have reasonable discriminatory power to detect fine-grained motor skill development delays especially when taking the game level into account. Duration of a game level needs to be at least 30 seconds in order to achieve good classification results.
{"title":"Detecting delays in motor skill development of children through data analysis of a smart play device","authors":"Jörg Sander, A. D. Schipper, A. Brons, Svetlana Mironcika, Huub Toussaint, B. Schouten, B. Kröse","doi":"10.1145/3154862.3154867","DOIUrl":"https://doi.org/10.1145/3154862.3154867","url":null,"abstract":"This paper describes experiments with a game device that was used for early detection of delays in motor skill development in primary school children. Children play a game by bi-manual manipulation of the device which continuously collects accelerometer data and game state data. Features of the data are used to discriminate between normal children and children with delays. This study focused on the feature selection. Three features were compared: mean squared jerk (time domain); power spectral entropy (fourier domain) and cosine similarity measure (quality of game play). The discriminatory power of the features was tested in an experiment where 28 children played games of different levels of difficulty. The results show that jerk and cosine similarity have reasonable discriminatory power to detect fine-grained motor skill development delays especially when taking the game level into account. Duration of a game level needs to be at least 30 seconds in order to achieve good classification results.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"352 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":"116534308","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}
Vast heart rate (HR) data during daily activities are being accumulated with widespread use of wearable sensors. To interpret the meaning of these HR data, the reference point of HR in individual subject is required. Although resting HR has been used for this purpose, the definition of resting HR has not been established and particularly, the effects of time of the day (circadian rhythm) on resting HR have not been considered. One of the other candidates for the reference point may be basal HR, i.e., the lowest HR in the day. In the present study, we therefore investigated the characteristics of basal HR by examining the effects of age and sex on basal HR and the occurrence time of basal HR during 24 h in 113,341 males and 140,332 females extracted from a 24-h Holter ECG database of the Allostatic State Mapping by Ambulatory ECG Repository (ALLSTAR). Although basal HR decreases with age until 20 yr old in both sexes, it increases slightly with advancing age thereafter. Although the clock time to reach basal HR appears between 02 and 05 h on average, it shows progress or delay depending on the time of life. The difference between 24-h mean and basal HR decrease linearly with age, suggesting that age-dependent decline in the increases in HR with daily activities can be detected by using basal HR as the reference point.
{"title":"Characteristics of basal heart rate during daily life: relationships with age, sex, and mean heart rate","authors":"J. Hayano, Y. Yoshida, E. Yuda","doi":"10.1145/3154862.3154900","DOIUrl":"https://doi.org/10.1145/3154862.3154900","url":null,"abstract":"Vast heart rate (HR) data during daily activities are being accumulated with widespread use of wearable sensors. To interpret the meaning of these HR data, the reference point of HR in individual subject is required. Although resting HR has been used for this purpose, the definition of resting HR has not been established and particularly, the effects of time of the day (circadian rhythm) on resting HR have not been considered. One of the other candidates for the reference point may be basal HR, i.e., the lowest HR in the day. In the present study, we therefore investigated the characteristics of basal HR by examining the effects of age and sex on basal HR and the occurrence time of basal HR during 24 h in 113,341 males and 140,332 females extracted from a 24-h Holter ECG database of the Allostatic State Mapping by Ambulatory ECG Repository (ALLSTAR). Although basal HR decreases with age until 20 yr old in both sexes, it increases slightly with advancing age thereafter. Although the clock time to reach basal HR appears between 02 and 05 h on average, it shows progress or delay depending on the time of life. The difference between 24-h mean and basal HR decrease linearly with age, suggesting that age-dependent decline in the increases in HR with daily activities can be detected by using basal HR as the reference point.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"12 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":"132985758","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}
Effective exercise coaching is critical for helping people master the correct forms of movements in order to gain the benefit of exercise. However, the potential ambiguity of verbal instructions in exercise coaching may become a hindrance to effective coaching. This study proposes a framework to support explicit and objective exercise coaching. We first present the two components of the proposed framework: (1) quantifying the differences between the correct and the wrong forms of a movement using bio-mechanics, and (2) modelling the sequence of muscle and joint activation in the correct form using ontology engineering. We then provide two examples of applying the proposed framework to exercise coaching on two basic movements. The ultimate aim of the study is to reduce unnecessary injury and to improve the quality of coaching services in the context of health promotion.
{"title":"Explicit exercise coaching for health promotion based on bio-mechanics and ontology engineering","authors":"Zilu Liang, Takuichi Nishimura, Satoshi Nishimura","doi":"10.1145/3154862.3154937","DOIUrl":"https://doi.org/10.1145/3154862.3154937","url":null,"abstract":"Effective exercise coaching is critical for helping people master the correct forms of movements in order to gain the benefit of exercise. However, the potential ambiguity of verbal instructions in exercise coaching may become a hindrance to effective coaching. This study proposes a framework to support explicit and objective exercise coaching. We first present the two components of the proposed framework: (1) quantifying the differences between the correct and the wrong forms of a movement using bio-mechanics, and (2) modelling the sequence of muscle and joint activation in the correct form using ontology engineering. We then provide two examples of applying the proposed framework to exercise coaching on two basic movements. The ultimate aim of the study is to reduce unnecessary injury and to improve the quality of coaching services in the context of health promotion.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"86 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":"125103089","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. Hervás, David Ruiz-Carrasco, Tania Mondéjar, J. Bravo
In the last few years, gamification has been proven as an effective strategy to improve people's motivation and performance. Many authors have reported success examples of gamification in areas such as education, entertainment, health and business. This paper is focused on the use of gamification for health, specifically for the promotion of behavioral changes. Firstly, this paper describes a systematic review conducted to identify in the literature the gamification elements that are being used to promote behavioral change. The results of this systematic review evidence the broad terminology related to gamification elements, with different perspectives and levels of abstraction. Based on these results, a taxonomy for gamification mechanics has been proposed. The taxonomy identifies and classifies the most common gamification mechanics and relates them with psychological fundamentals on behavioral changes.
{"title":"Gamification mechanics for behavioral change: a systematic review and proposed taxonomy","authors":"R. Hervás, David Ruiz-Carrasco, Tania Mondéjar, J. Bravo","doi":"10.1145/3154862.3154939","DOIUrl":"https://doi.org/10.1145/3154862.3154939","url":null,"abstract":"In the last few years, gamification has been proven as an effective strategy to improve people's motivation and performance. Many authors have reported success examples of gamification in areas such as education, entertainment, health and business. This paper is focused on the use of gamification for health, specifically for the promotion of behavioral changes. Firstly, this paper describes a systematic review conducted to identify in the literature the gamification elements that are being used to promote behavioral change. The results of this systematic review evidence the broad terminology related to gamification elements, with different perspectives and levels of abstraction. Based on these results, a taxonomy for gamification mechanics has been proposed. The taxonomy identifies and classifies the most common gamification mechanics and relates them with psychological fundamentals on behavioral changes.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"82 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113961382","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 systems have achieved widespread adoption across the developed world. Telemedicine platforms could arguably benefit from increased access to pervasive computing features, such as context awareness and calm technology. This includes medication and activity trackers. The aim of this demo is to demonstrate the OpenTele platform and showcase how it may be easily extended with such pervasive computing features. Based on the CAMI and OpenTele+ projects, we demonstrate how this may be achieved.
{"title":"OpenTele+ for extending telemedicine with pervasive healthcare features","authors":"S. Wagner, Esben Hunnerup","doi":"10.1145/3154862.3154903","DOIUrl":"https://doi.org/10.1145/3154862.3154903","url":null,"abstract":"Telemedicine systems have achieved widespread adoption across the developed world. Telemedicine platforms could arguably benefit from increased access to pervasive computing features, such as context awareness and calm technology. This includes medication and activity trackers. The aim of this demo is to demonstrate the OpenTele platform and showcase how it may be easily extended with such pervasive computing features. Based on the CAMI and OpenTele+ projects, we demonstrate how this may be achieved.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"28 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":"123495405","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}
Xin Tong, Servet Ulas, Weina Jin, D. Gromala, Chris D. Shaw
Chronic Pain (CP) has been identified as a complex medical condition, one that is difficult for sufferers to articulate and for others to discern. This may interfere with the ability of a patient's family, friends and healthcare practitioners to understand what it is like to live with CP, or to even believe it exists. A reluctance by or ability of others to believe a CP patient may in turn exacerbate pain and sequelae common in CP, such as depression, frustration, stigma or social isolation. The goal of this research is to help foster empathy of what CP patients experience by designing and evaluating a body-sensing video game titled AS IF. In this game, players "inhabit" a virtual body or avatar of a CP patient. The virtual body simulates physical limitations and displays red areas meant to indicate painful areas. A pilot study with 15 participants was conducted. Results show that while not every aspect of the game proved successful, players had a significant increase in their willingness to help patients. This research demonstrates an approach that may help foster empathy towards CP patients through an embodied game simulation, and has design implications for future research and gameplay explorations.
{"title":"The design and evaluation of a body-sensing video game to foster empathy towards chronic pain patients","authors":"Xin Tong, Servet Ulas, Weina Jin, D. Gromala, Chris D. Shaw","doi":"10.1145/3154862.3154869","DOIUrl":"https://doi.org/10.1145/3154862.3154869","url":null,"abstract":"Chronic Pain (CP) has been identified as a complex medical condition, one that is difficult for sufferers to articulate and for others to discern. This may interfere with the ability of a patient's family, friends and healthcare practitioners to understand what it is like to live with CP, or to even believe it exists. A reluctance by or ability of others to believe a CP patient may in turn exacerbate pain and sequelae common in CP, such as depression, frustration, stigma or social isolation. The goal of this research is to help foster empathy of what CP patients experience by designing and evaluating a body-sensing video game titled AS IF. In this game, players \"inhabit\" a virtual body or avatar of a CP patient. The virtual body simulates physical limitations and displays red areas meant to indicate painful areas. A pilot study with 15 participants was conducted. Results show that while not every aspect of the game proved successful, players had a significant increase in their willingness to help patients. This research demonstrates an approach that may help foster empathy towards CP patients through an embodied game simulation, and has design implications for future research and gameplay explorations.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"79 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":"124990058","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}
Ayelet Ben-Sasson, Eli Ben-Sasson, Kayla Jacobs, Eden Saig
Baby CROINC (CROwd INtelligence Curation) is an online early-childhood development tracker designed to be both personalized and objective. To meet these goals, we rely on Curated Crowd Intelligence (CCI), a process in which experts curate personalized inputs to connect with the crowd's aggregate data, providing parents with objective and personalized feedback on their children's development. In this paper, we describe Baby CROINC's design, with a focus on CCI, and assess the extent to which it meets its design goals of objectivity and personalization. In Baby CROINC, parents create a diary by adding developmental milestones to a timeline. Visual statistics are presented per milestone. Expert curators clarify, merge, and classify milestones which are new to the system. Diary personalization was evident through users' rich and diverse milestone choices, and by the continuous system increase in new canonical developmental concepts. Findings demonstrate the objectivity of the crowd-based percentiles extracted from Baby CROINC, based on consistency of developmental differences in preterm vs. fullterm and boys vs. girls with established research, and the correlation between medians reported in our system and those appearing on the U.S. Centers for Disease Control and Prevention's Milestones webpage.1 CCI led to a dramatic increase in users' ability to view crowd-based statistics, indicating that CCI is critical for enabling objectivity while maintaining personalization.
{"title":"Baby CROINC: an online, crowd-based, expert-curated system for monitoring child development","authors":"Ayelet Ben-Sasson, Eli Ben-Sasson, Kayla Jacobs, Eden Saig","doi":"10.1145/3154862.3154887","DOIUrl":"https://doi.org/10.1145/3154862.3154887","url":null,"abstract":"Baby CROINC (CROwd INtelligence Curation) is an online early-childhood development tracker designed to be both personalized and objective. To meet these goals, we rely on Curated Crowd Intelligence (CCI), a process in which experts curate personalized inputs to connect with the crowd's aggregate data, providing parents with objective and personalized feedback on their children's development. In this paper, we describe Baby CROINC's design, with a focus on CCI, and assess the extent to which it meets its design goals of objectivity and personalization. In Baby CROINC, parents create a diary by adding developmental milestones to a timeline. Visual statistics are presented per milestone. Expert curators clarify, merge, and classify milestones which are new to the system. Diary personalization was evident through users' rich and diverse milestone choices, and by the continuous system increase in new canonical developmental concepts. Findings demonstrate the objectivity of the crowd-based percentiles extracted from Baby CROINC, based on consistency of developmental differences in preterm vs. fullterm and boys vs. girls with established research, and the correlation between medians reported in our system and those appearing on the U.S. Centers for Disease Control and Prevention's Milestones webpage.1 CCI led to a dramatic increase in users' ability to view crowd-based statistics, indicating that CCI is critical for enabling objectivity while maintaining personalization.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"17 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":"124654160","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}
Roland Ellerweg, K. Hofer, A. Khromov, P. Voigt, S. Fischer
During evaluation of CT or MR images radiologists navigate through a volume in different orientations in order to detect a disease. While doing so, they leave a trail, which might hold valuable information for other clinicians. Unfortunately, current systems do not analyze this trail for certain motions or potential patterns. In this work we developed and implemented different strategies to infer the manifestation of a disease from the trail of inspection. Furthermore we evaluate the effectiveness of these strategies by conducting an experiment in which clinicians had to find a tumor in several cases. The results suggest that inferring suspicious areas from the trail is possible.
{"title":"Applying trajectory mining in medical image data","authors":"Roland Ellerweg, K. Hofer, A. Khromov, P. Voigt, S. Fischer","doi":"10.1145/3154862.3154889","DOIUrl":"https://doi.org/10.1145/3154862.3154889","url":null,"abstract":"During evaluation of CT or MR images radiologists navigate through a volume in different orientations in order to detect a disease. While doing so, they leave a trail, which might hold valuable information for other clinicians. Unfortunately, current systems do not analyze this trail for certain motions or potential patterns. In this work we developed and implemented different strategies to infer the manifestation of a disease from the trail of inspection. Furthermore we evaluate the effectiveness of these strategies by conducting an experiment in which clinicians had to find a tumor in several cases. The results suggest that inferring suspicious areas from the trail is possible.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"30 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":"124578799","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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