Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248689
A. Matic, V. Osmani, Alban Maxhuni, O. Mayora-Ibarra
The level of participation in social interactions has been shown to have an impact on various health outcomes, while it also reflects the overall wellbeing status. In health sciences the standard practice for measuring the amount of social activity relies on periodical self-reports that suffer from memory dependence, recall bias and the current mood. In this regard, the use of sensor-based detection of social interactions has the potential to overcome the limitations of self-reporting methods that have been used for decades in health related sciences. However, the current systems have mainly relied on external infrastructures, which are confined within specific location or on specialized devices typically not-available off the shelf. On the other hand, mobile phone based solutions are often limited in accuracy or in capturing social interactions that occur on small time and spatial scales. The work presented in this paper relies on widely available mobile sensing technologies, namely smart phones utilized for recognizing spatial settings between subjects and the accelerometer used for speech activity identification. We evaluate the two sensing modalities both separately and in fusion, demonstrating high accuracy in detecting social interactions on small spatio-temporal scale.
{"title":"Multi-modal mobile sensing of social interactions","authors":"A. Matic, V. Osmani, Alban Maxhuni, O. Mayora-Ibarra","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248689","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248689","url":null,"abstract":"The level of participation in social interactions has been shown to have an impact on various health outcomes, while it also reflects the overall wellbeing status. In health sciences the standard practice for measuring the amount of social activity relies on periodical self-reports that suffer from memory dependence, recall bias and the current mood. In this regard, the use of sensor-based detection of social interactions has the potential to overcome the limitations of self-reporting methods that have been used for decades in health related sciences. However, the current systems have mainly relied on external infrastructures, which are confined within specific location or on specialized devices typically not-available off the shelf. On the other hand, mobile phone based solutions are often limited in accuracy or in capturing social interactions that occur on small time and spatial scales. The work presented in this paper relies on widely available mobile sensing technologies, namely smart phones utilized for recognizing spatial settings between subjects and the accelerometer used for speech activity identification. We evaluate the two sensing modalities both separately and in fusion, demonstrating high accuracy in detecting social interactions on small spatio-temporal scale.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128057733","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248614
T. Frenken, Myriam Lipprandt, M. Brell, M. Gövercin, S. Wegel, E. Steinhagen-Thiessen, A. Hein
A novel approach to performing unsupervised mobility assessment tests in domestic environments is presented. As a part of the aTUG concept the approach is based on the idea to segment assessment tests into components made up of recurring movement patterns which are measured independently by use of ambient sensor technologies. Quality criteria are defined which compute a score of eligibility for usage of sensor data to assess a certain test component. Valid component measurements are recombined to complete assessment tests according to a technical assessment test description defining the flow of segments and their constraints. An experiment has been conducted within a field trial with five elderly people aged 64-84 years over five weeks. The flats of all people were equipped with home automation (HA) sensors. A laser range scanner (LRS) was placed in one flat. Results from the fully-equipped flat show that the presented quality criteria are suitable to select LRS measurements according to their eligibility to assess a certain component. HA sensors and the LRS were used to compute a self-selected gait velocity of 0.71m/s unsupervised at home. TUG using the aTUG apparatus and a stopwatch was used as clinical reference data yielding a mean gait velocity of 1.18m/s. For the described setting a difference of 0.47m/s between capacity and performance in gait velocity was found.
{"title":"Novel approach to unsupervised mobility assessment tests: Field trial for aTUG","authors":"T. Frenken, Myriam Lipprandt, M. Brell, M. Gövercin, S. Wegel, E. Steinhagen-Thiessen, A. Hein","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248614","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248614","url":null,"abstract":"A novel approach to performing unsupervised mobility assessment tests in domestic environments is presented. As a part of the aTUG concept the approach is based on the idea to segment assessment tests into components made up of recurring movement patterns which are measured independently by use of ambient sensor technologies. Quality criteria are defined which compute a score of eligibility for usage of sensor data to assess a certain test component. Valid component measurements are recombined to complete assessment tests according to a technical assessment test description defining the flow of segments and their constraints. An experiment has been conducted within a field trial with five elderly people aged 64-84 years over five weeks. The flats of all people were equipped with home automation (HA) sensors. A laser range scanner (LRS) was placed in one flat. Results from the fully-equipped flat show that the presented quality criteria are suitable to select LRS measurements according to their eligibility to assess a certain component. HA sensors and the LRS were used to compute a self-selected gait velocity of 0.71m/s unsupervised at home. TUG using the aTUG apparatus and a stopwatch was used as clinical reference data yielding a mean gait velocity of 1.18m/s. For the described setting a difference of 0.47m/s between capacity and performance in gait velocity was found.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130919077","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248691
Sean A Munson, Sunny Consolvo
Many people have turned to technological tools to help them be physically active. To better understand how goal-setting, rewards, self-monitoring, and sharing can encourage physical activity, we designed a mobile phone application and deployed it in a four-week field study (n=23). Participants found it beneficial to have secondary and primary weekly goals and to receive non-judgmental reminders. However, participants had problems with some features that are commonly used in practice and suggested in the literature. For example, trophies and ribbons failed to motivate most participants, which raises questions about how such rewards should be designed. A feature to post updates to a subset of their Facebook NewsFeed created some benefits, but barriers remained for most participants.
{"title":"Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity","authors":"Sean A Munson, Sunny Consolvo","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248691","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248691","url":null,"abstract":"Many people have turned to technological tools to help them be physically active. To better understand how goal-setting, rewards, self-monitoring, and sharing can encourage physical activity, we designed a mobile phone application and deployed it in a four-week field study (n=23). Participants found it beneficial to have secondary and primary weekly goals and to receive non-judgmental reminders. However, participants had problems with some features that are commonly used in practice and suggested in the literature. For example, trophies and ribbons failed to motivate most participants, which raises questions about how such rewards should be designed. A feature to post updates to a subset of their Facebook NewsFeed created some benefits, but barriers remained for most participants.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127746068","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}
Elizabeth S. Bales, Nima Nikzad, Nichole Quick, Celal Ziftci, K. Patrick, W. Griswold
Individual and community health can be greatly impacted by poor air quality. Unfortunately air quality metrics are hard for individuals to obtain and are often not precise enough for people to make the inferences they need to construct positive personal health choices. Through the Citisense mobile air quality system we enable users to track their personal air quality exposure for discovery, self-reflection, and sharing within their local communities and online social networks.
{"title":"Citisense: Mobile air quality sensing for individuals and communities Design and deployment of the Citisense mobile air-quality system","authors":"Elizabeth S. Bales, Nima Nikzad, Nichole Quick, Celal Ziftci, K. Patrick, W. Griswold","doi":"10.1145/2384716.2384728","DOIUrl":"https://doi.org/10.1145/2384716.2384728","url":null,"abstract":"Individual and community health can be greatly impacted by poor air quality. Unfortunately air quality metrics are hard for individuals to obtain and are often not precise enough for people to make the inferences they need to construct positive personal health choices. Through the Citisense mobile air quality system we enable users to track their personal air quality exposure for discovery, self-reflection, and sharing within their local communities and online social networks.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129567088","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248681
Manuel Müller, Morgan Harvey, David Elsweiler, Stefanie Mika
To utilise the vast recipe databases on the Internet in intelligent nutritional assistance or recommender systems, it is important to have accurate nutritional data for recipes. Unfortunately, most online recipes have no such data available or have data of suspect quality. In this paper we present a system that automatically calculates the nutritional value of recipes sourced from the Internet. This is a challenging problem for several reasons, including lack of formulaic structure in ingredient descriptions, ingredient synonymy, brand names, and unspecific quantities being assigned. We present a system that exploits linguistic properties of ingredient descriptions and nutritional knowledge modelled as rules to estimate the nutritional content of recipes. We evaluate the system on a large Internet sourced recipe database (23.5k recipes) and examine performance in terms of ability to recognise ingredients and error in nutritional values against values established by human experts. Our results show that our system can match all of the ingredients for 91% of recipes in the collection and generate nutritional values within a 10% error bound from human assessors for calorie, protein and carbohydrate values. We show that the error is less than that between multiple human assessors and also less than the error reported for different standard measures of estimating nutritional intake.
{"title":"Ingredient matching to determine the nutritional properties of Internet-sourced recipes","authors":"Manuel Müller, Morgan Harvey, David Elsweiler, Stefanie Mika","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248681","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248681","url":null,"abstract":"To utilise the vast recipe databases on the Internet in intelligent nutritional assistance or recommender systems, it is important to have accurate nutritional data for recipes. Unfortunately, most online recipes have no such data available or have data of suspect quality. In this paper we present a system that automatically calculates the nutritional value of recipes sourced from the Internet. This is a challenging problem for several reasons, including lack of formulaic structure in ingredient descriptions, ingredient synonymy, brand names, and unspecific quantities being assigned. We present a system that exploits linguistic properties of ingredient descriptions and nutritional knowledge modelled as rules to estimate the nutritional content of recipes. We evaluate the system on a large Internet sourced recipe database (23.5k recipes) and examine performance in terms of ability to recognise ingredients and error in nutritional values against values established by human experts. Our results show that our system can match all of the ingredients for 91% of recipes in the collection and generate nutritional values within a 10% error bound from human assessors for calorie, protein and carbohydrate values. We show that the error is less than that between multiple human assessors and also less than the error reported for different standard measures of estimating nutritional intake.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122969562","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248701
Nazneen, Fatima A. Boujarwah, A. Rozga, G. Abowd, R. Arriaga, R. Oberleitner, S. Pharkute
Children with autism often engage in problem behaviors. The frequency and severity of these behaviors can be very detrimental to their quality of life. Direct observation of problem behaviors is the gold standard for assessment and intervention, but it can be costly and intrusive. It also introduces specific challenges, such as lack of occurrence of episodes of problem behavior during clinical observation, and behavior reactivity in the presence of an observer. We propose a smart phone based capture system that can support parents in collecting samples of their child's problem behaviors in the home for assessment and intervention purposes. Four concept exploration and concept validation studies were conducted with parents, behavior analysts and other caregivers of children with autism in Pakistan. A prototype informed by the concept exploration studies was developed and used as a probe in the concept validation studies conducted in laboratory and real world settings. In this paper we present our findings and their impact on the ecological integration within the cultural context of a developing but conservative society.
{"title":"Towards in-home collection of behavior specimens: Within the cultural context of autism in Pakistan","authors":"Nazneen, Fatima A. Boujarwah, A. Rozga, G. Abowd, R. Arriaga, R. Oberleitner, S. Pharkute","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248701","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248701","url":null,"abstract":"Children with autism often engage in problem behaviors. The frequency and severity of these behaviors can be very detrimental to their quality of life. Direct observation of problem behaviors is the gold standard for assessment and intervention, but it can be costly and intrusive. It also introduces specific challenges, such as lack of occurrence of episodes of problem behavior during clinical observation, and behavior reactivity in the presence of an observer. We propose a smart phone based capture system that can support parents in collecting samples of their child's problem behaviors in the home for assessment and intervention purposes. Four concept exploration and concept validation studies were conducted with parents, behavior analysts and other caregivers of children with autism in Pakistan. A prototype informed by the concept exploration studies was developed and used as a probe in the concept validation studies conducted in laboratory and real world settings. In this paper we present our findings and their impact on the ecological integration within the cultural context of a developing but conservative society.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123332350","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248679
Felix Heidrich, K. Kasugai, C. Röcker, P. Russell, M. Ziefle
This paper illustrates the development of the roomXT system, a mixed reality communication system for the home domain. RoomXT virtually extends a user's physical environment by providing a “life-like” communication channel for informal and spontaneous interactions. We use a wall-sized display together with head-tracking and 3D rendering to achieve visual contiguity between the real and a virtual environment. As one possible application of this system, we set up a remote dining situation for two users. The dinner table is visually extended into the virtual environment in which a live video stream of the dining partner is shown. Great care was taken in regard to the aesthetic and device-free integration into the living room. First impressions of potential users support the validity of our design decisions.
{"title":"RoomXT: Advanced video communication for joint dining over a distance","authors":"Felix Heidrich, K. Kasugai, C. Röcker, P. Russell, M. Ziefle","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248679","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248679","url":null,"abstract":"This paper illustrates the development of the roomXT system, a mixed reality communication system for the home domain. RoomXT virtually extends a user's physical environment by providing a “life-like” communication channel for informal and spontaneous interactions. We use a wall-sized display together with head-tracking and 3D rendering to achieve visual contiguity between the real and a virtual environment. As one possible application of this system, we set up a remote dining situation for two users. The dinner table is visually extended into the virtual environment in which a live video stream of the dining partner is shown. Great care was taken in regard to the aesthetic and device-free integration into the living room. First impressions of potential users support the validity of our design decisions.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129398306","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248718
Sen H. Hirano, Karen P. Tang, K. Cheng, Gillian R. Hayes
Preterm infants have significantly higher rates of functional limitations and are at risk for delays in cognitive, motor, and other skills. In this demo, we describe a health informatics system we developed to support caregivers of preterm infants. In this demo, we present Estrellita, a system to support caregivers of preterm infants. This system is comprised of a mobile application for parents and a web portal for clinicians. Estrellita supports more efficient tracking and communication among stakeholders and balances the sometimes-competing needs of parents, clinicians, and other healthcare professionals.
{"title":"The estrellita system: A health informatics tool to support caregivers of preterm infants","authors":"Sen H. Hirano, Karen P. Tang, K. Cheng, Gillian R. Hayes","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248718","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248718","url":null,"abstract":"Preterm infants have significantly higher rates of functional limitations and are at risk for delays in cognitive, motor, and other skills. In this demo, we describe a health informatics system we developed to support caregivers of preterm infants. In this demo, we present Estrellita, a system to support caregivers of preterm infants. This system is comprised of a mobile application for parents and a web portal for clinicians. Estrellita supports more efficient tracking and communication among stakeholders and balances the sometimes-competing needs of parents, clinicians, and other healthcare professionals.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127466136","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248716
Karen P. Tang, Sen H. Hirano, K. Cheng, Gillian R. Hayes
Preterm infants have significantly higher rates of functional limitations and are at risk for delays in cognitive, motor, and other skills. Through high-risk infant follow-up (HRIF) programs and other early detection methods, these delays and complications can be reduced. However, these interventions require substantial resources and can create extra burden on families. In this paper, we present the results of a qualitative design study to understand the needs of these families and their professional caregivers. These results reveal diverse challenges facing parents and clinicians attempting to document, understand, and share infant health data that must be balanced in any pervasive health solution. In particular, parents described struggling with when to collect data, while clinicians reported being more concerned about what and how parents track infant health. Based on these results, we present five design implications for applications for preterm infant care, which we incorporated into the design of Estrellita, a mobile health informatics tool to support caregivers of preterm infants.
{"title":"Balancing caregiver and clinician needs in a mobile health informatics tool for preterm infants","authors":"Karen P. Tang, Sen H. Hirano, K. Cheng, Gillian R. Hayes","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248716","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248716","url":null,"abstract":"Preterm infants have significantly higher rates of functional limitations and are at risk for delays in cognitive, motor, and other skills. Through high-risk infant follow-up (HRIF) programs and other early detection methods, these delays and complications can be reduced. However, these interventions require substantial resources and can create extra burden on families. In this paper, we present the results of a qualitative design study to understand the needs of these families and their professional caregivers. These results reveal diverse challenges facing parents and clinicians attempting to document, understand, and share infant health data that must be balanced in any pervasive health solution. In particular, parents described struggling with when to collect data, while clinicians reported being more concerned about what and how parents track infant health. Based on these results, we present five design implications for applications for preterm infant care, which we incorporated into the design of Estrellita, a mobile health informatics tool to support caregivers of preterm infants.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115659013","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}
Pub Date : 2012-05-21DOI: 10.4108/ICST.PERVASIVEHEALTH.2012.248692
D. U. Khan, S. Ananthanarayan, An T. Le, Christopher L. Schaefbauer, K. Siek
We developed four mobile phone prototype applications informed by theoretical models of behavior change to improve the snacking habits of low socioeconomic status (SES) families. Eight primary caregivers and 18 secondary caregivers from low SES backgrounds used the applications to evaluate their usability and usefulness. We found a schism between primary and secondary caregivers regarding whether the applications should be based on games, indicating a need to reconcile these differences to develop a system to support healthy family snacking. In addition, social context, understandable health abstractions, and sensitivity to health values are all important considerations when creating applications in a low SES context. This research contributes design implications for future applications intended to improve snacking habits in low SES families.
{"title":"Designing mobile snack application for low socioeconomic status families","authors":"D. U. Khan, S. Ananthanarayan, An T. Le, Christopher L. Schaefbauer, K. Siek","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248692","DOIUrl":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248692","url":null,"abstract":"We developed four mobile phone prototype applications informed by theoretical models of behavior change to improve the snacking habits of low socioeconomic status (SES) families. Eight primary caregivers and 18 secondary caregivers from low SES backgrounds used the applications to evaluate their usability and usefulness. We found a schism between primary and secondary caregivers regarding whether the applications should be based on games, indicating a need to reconcile these differences to develop a system to support healthy family snacking. In addition, social context, understandable health abstractions, and sensitivity to health values are all important considerations when creating applications in a low SES context. This research contributes design implications for future applications intended to improve snacking habits in low SES families.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128051257","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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