International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare最新文献
{"title":"Using spatio-temporal data from trail-making tests to assess neglect","authors":"Kasper Hald, H. Knoche","doi":"10.4108/EAI.16-5-2016.2263741","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2263741","url":null,"abstract":"We designed an app based on the Trail-Making Test for assessment and rehabilitation of hemi-spatial neglect. A randomized controlled trial with thirty-six participants showed that player performance in the game was significantly affected by their cognitive conditions verified by standard neuropsychological tests and the nature of their lesions. A mixed ANOVA revealed that the average time going from one target to the next was significantly affected by the interaction of their neglect scores and the goal position relative to the side of their lesion. The group testing positive for neglect had an average delta time of 3.51 second on targets lateral to the lesion and 5.21 for contra-lateral targets.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"17 1","pages":"245-248"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74561858","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":"A proof-of-concept visualization to increase comprehension of personal medication schemes","authors":"Robin De Croon, J. Klerkx, E. Duval","doi":"10.4108/EAI.16-5-2016.2263320","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2263320","url":null,"abstract":"In this paper, we investigate how information visualization techniques can be leveraged to increase patient comprehension of personal medication schemes in order to make it easier for them to explore, explain and understand drug information. Using computer vision techniques, our solution is able to recognize medication boxes, or so-called pharmaceutical packages, which are laid on an ordinary table. A projector visualizes drug information such as interactions, adverse drug reactions, intolerances and the dosage regimen around corresponding boxes. Five prototypes are designed and evaluated following a user-centered, rapid-prototyping methodology. Test participants in our study included both general practitioners (GPs) and patients. Results are promising and clearly indicate that information visualization techniques are an effective means to explore and understand drug information. Even if this system was originally envisaged to be used as a means to improve 'therapy dialogue' between GPs and their patients during consultations, our results show that both GPs and patients think it would be highly beneficial if patients were able to use the system at home.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"9 1","pages":"25-32"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78526229","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":"Examining the effect of automated health explanations on older adults' attitudes toward medication information","authors":"Aqueasha Martin-Hammond, J. Gilbert","doi":"10.4108/EAI.16-5-2016.2263312","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2263312","url":null,"abstract":"In a non-clinical setting, understanding health information can be a challenge for consumers, but for some, such as older adults, a more complex health history can make this task more difficult. For some tasks such as deciding on appropriate medications, misjudgments about information can place consumers at risk. Research suggests that using technology to communicate and disseminate health information can improve understanding and lead to improved health outcomes. In this paper, we examine the impact of automatically generated explanations of medical terms on older adults' attitudes toward medication information. \u0000 \u0000We conducted an experiment with 21 older adults where we asked them to complete tasks using medication texts that included and did not include medical terms augmented with consumer-based explanations. We collected data about their attitudes, understanding, and satisfaction with the use of both types of medication texts. We found that the inclusion of the explanations improved participants' attitudes about the difficulty of using the text to complete medication information seeking tasks. Participants also preferred and found more helpful the medication information that included the explanations. Results suggest that automatically generated explanations of medical terms may be useful for encouraging positive attitudes about the difficulty, helpfulness, and satisfaction with the use of medication information among older adults.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"89 1","pages":"186-193"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75245045","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}
H. MacLeod, Ben Jelen, A. Prabhakar, L. Oehlberg, K. Siek, Kay Connelly
{"title":"Asynchronous remote communities (ARC) for researching distributed populations","authors":"H. MacLeod, Ben Jelen, A. Prabhakar, L. Oehlberg, K. Siek, Kay Connelly","doi":"10.4108/EAI.16-5-2016.2263322","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2263322","url":null,"abstract":"Existing research methods are largely intended to be conducted co-located and synchronously with a study population, but this approach is not feasible with remote or distributed populations. We describe a needs assessment study we conducted on Facebook. We report on our use of adapted versions of commonly used HCI research methods and lessons learned from this approach.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"19 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74097584","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":"Defining affective identities in elderly nursing home residents for the design of an emotionally intelligent cognitive assistant","authors":"A. König, Linda E. Francis, A. Malhotra, J. Hoey","doi":"10.4108/EAI.16-5-2016.2263875","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2263875","url":null,"abstract":"In this paper, we describe the first outcomes of the ACT@HOME research project which aims to develop an emotionally intelligent cognitive assistant (ICA) to engage and help older adults with Alzheimer's disease (AD) to complete activities of daily living (ADL) more independently. To accomplish this, we carried out semi-structured qualitative interviews with elderly nursing home residents in order to define their different affective identities, personalities and backgrounds. For this, a specific new interview tool was designed based on the principles of Affect Control Theory (ACT), a socio-cultural theory of affective interactions. The ICA will be programmed then to learn the different extracted affective identities (i.e., \"personality\") of a person during an interaction, and will tailor prompts to specific individual's needs' in a way that ensures smoother and more effective uptake and response. Preliminary results of the first analysis of the interviews show that we can distinguish clearly between certain affective identities, such as for instance 'the depressed lawyer', or the 'independent athlete' etc. and thus, define their resulting preferences in a specific prompting style provided by the ICA.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"38 1","pages":"206-210"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82459746","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":"Reride: performing lower back rehabilitation while riding your motorbike in traffic","authors":"Naveen Bagalkot, Tomas Sokoler, Suraj Baadkar","doi":"10.4108/EAI.16-5-2016.2263337","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2263337","url":null,"abstract":"What if a person with lower back problem could perform prescribed exercises while riding a motorbike in city traffic? In this paper we present our ReRide design experiment. The ReRide interactive sketch uses a belt with embedded flex sensor to obtain back posture data, and a microprocessor controlled mechanically moving display mounted on top of the bike's speedometer that alters the visibility of the speedometer to the rider indicating the correctness of back posture. Informed by embodied perception, the ReRide design emphasizes a rapid coupling between adjusting your back posture and the feedback presented thereby extending the bodily interaction with the motorbike already at play when riding to interacting with the self-monitoring technology. ReRide informs work in HCI investigating how, taking embodied interaction as the theoretical foundation, digital technology for self-monitoring can be designed to help integrate physical rehabilitation with everyday activities.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"28 1","pages":"77-80"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85256885","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":"How avatars in care context should show affect","authors":"Sascha Fagel, M. B. Moussa, D. Cereghetti","doi":"10.4108/EAI.16-5-2016.2264514","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2264514","url":null,"abstract":"This paper presents an analysis on the role of affective expressions in the health care environment and particularly in the care of older adults, and proposes a computational model of affect for ECAs bases on Roseman's emotion theory and adapted to the elderly care context. Further, this manuscript also describes how these expressions can be conveyed during spoken interaction.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"7 1","pages":"262-267"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84155647","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":"Measuring regularity in daily behavior for the purpose of detecting alzheimer","authors":"Saskia Robben, A. N. Aicha, B. Kröse","doi":"10.4108/EAI.16-5-2016.2263342","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2263342","url":null,"abstract":"This paper presents a study of sensor data from a person who developed Alzheimer's disease during a 4-year monitoring period and who is monitored with simple ambient sensors in her home. Our aim is to find data analysis methods that reveal relevant changes in the sensor pattern that occur before the diagnosis. We focus on the quantification of regularity, which is identified as a relevant indicator for the assessment of a disease such as Alzheimer's. Two unsupervised methods are studied. Restricted Boltzmann Machines are trained and the resulting weights are visualized to see whether there are changes in regularity in the behavioral pattern. Fast Fourier Transformation is applied to the sensor data and the spectral characteristics are determined and compared with the same purpose. Both methods reveal changes in the pattern between different periods. Both methods therefore are useful in quantifying and understanding changes in the regularity of the daily pattern.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"4 1","pages":"97-100"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90597539","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. Whelan, M. O'Reilly, T. Ward, E. Delahunt, B. Caulfield
{"title":"Evaluating performance of the lunge exercise with multiple and individual inertial measurement units","authors":"D. Whelan, M. O'Reilly, T. Ward, E. Delahunt, B. Caulfield","doi":"10.4108/EAI.16-5-2016.2263319","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2263319","url":null,"abstract":"The lunge is an important component of lower limb rehabilitation, strengthening and injury risk screening. Completing the movement incorrectly alters muscle activation and increases stress on knee, hip and ankle joints. This study sought to investigate whether IMUs are capable of discriminating between correct and incorrect performance of the lunge. Eighty volunteers (57 males, 23 females, age: 24.68± 4.91 years, height: 1.75± 0.094m, body mass: 76.01±13.29kg) were fitted with five IMUs positioned on the lumbar spine, thighs and shanks. They then performed the lunge exercise with correct form and 11 specific deviations from acceptable form. Features were extracted from the labelled sensor data and used to train and evaluate random-forests classifiers. The system achieved 83% accuracy, 62% sensitivity and 90% specificity in binary classification with a single sensor placed on the right thigh and 90% accuracy, 80% sensitivity and 92% specificity using five IMUs. This multi-sensor set up can detect specific deviations with 70% accuracy. These results indicate that a single IMU has the potential to differentiate between correct and incorrect lunge form and using multiple IMUs adds the possibility of identifying specific deviations a user is making when completing the lunge.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"11 1","pages":"101-108"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86596809","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}
Aqueasha Martin-Hammond, Abdullah Ali, Casey Means, Catherine Hornback, A. Hurst
{"title":"Supporting awareness of pointing behavior among diverse groups","authors":"Aqueasha Martin-Hammond, Abdullah Ali, Casey Means, Catherine Hornback, A. Hurst","doi":"10.4108/EAI.16-5-2016.2263763","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2016.2263763","url":null,"abstract":"The Internet is a valuable resource for accessing health information and resources. However, for individuals that experience sustained or temporary changes in hand mobility, using an input device to navigate the Internet can be difficult. Further, variances in hand mobility among individuals with different abilities make it difficult to design assistive technology solutions that support a wide range of needs. We present findings from an exploratory study with three diverse groups with different motor abilities to understand their preferences for pointing behavior information collected through automatic tracking. We found that overall participants did not find pointing information useful without assistance, while younger and older adults valued quantified pointing information differently.","PeriodicalId":87275,"journal":{"name":"International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare","volume":"13 1","pages":"231-234"},"PeriodicalIF":0.0,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87333277","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}