HamkeRun: Mobile infoVis app towards sustainable motivation in a context of running

Indiana University-Purdue University Indianapolis (IUPUI)According to the US Centers for Disease Control and Prevention, less than half of all adults in the US meet basic physical activity guidelines. Physical activity can help not just improve physical and mental health but also reduce the risk of heart disease and some cancers. Researchers and companies have tried to investigate the use of modern technologies to motivate people to increase and maintain physical activities. However, in spite of these efforts, there are criticisms. Those include low dietary effectiveness of the tools, lack of sustainable effects in the long-term, and proof of effectiveness only shown in laboratory settings. To overcome these limitations, first, the author developed a framework of overarching motivation theories and HCI factors and contextualized it within the running domain. Second, the author has developed a mobile application called HamkeRun within this framework, using the concepts of information visualization, gamification, and social grouping to increase a user’s motivation to run more frequently. Third, the HamkeRun application was empirically tested through a two-month-long longitudinal experiment and follow-up interviews. The results showed that the single runner type showed significant increases in the levels of their external motivation (motivational effect of the HamkeRun application), internal motivation and satisfaction, while the team runner type showed significant increases only in internal motivation. In addition, motivational effects were also different depending on the runners’ behavior change stage. Runners at the maintenance stage showed significant increases in external motivation, internal motivation, satisfaction, and total number of running activities performed during the study. Although action stage runners showed significant increase in internal motivation, female runners at the action stage showed significant decrease in their external motivation. Gamification greatly influenced increases of external motivation, internal motivation and total number of actual activities. Although both male and female runners showed increased internal motivation, significant increase in external motivation was only found in male runners. The dissertation closes with a series of design guidelines for application developers and designers which may help develop motivational tools in other health-related domains

Effects of fire fight safety education when applied metaverse in Korea: Focusing on the construction industry

This study reviewed educational, aesthetic, entertainment and deviant experiences which are elements of the metaverse experience set them as research variables   and presented the results of the study through a survey. First, it was found that the educational experience was statistically significant for safety education satisfaction and had a positive effect. In order to provide practical education, educational experiences must feel like reality and fun content must be easily delivered. Second, it was found that deviant experiences were statistically significant for   safety education satisfaction and had a positive effect. This can be said to increase the prevention of safety accidents only when the deviant experience service feels like reality and interesting contents related to safety education are easily delivered. Third, it was found that the aesthetic experience was statistically significant for safety education satisfaction and had a positive effect. This can be said to increase the prevention of safety accidents only when aesthetic experiences and services feel like reality and interesting contents related to safety education are easily delivered. Fourth, it was found that the recreational experience was statistically significant for safety education satisfaction and had a positive effect. This can be said to increase the prevention of safety accidents only when entertainment and deviant experience services feel like reality and interesting contents related to safety education are easily delivered

The GRaPPa Lab: Supporting Team Decision Making in Complex Environments

poster abstractThe GRaPPa (Group Psychology and Performance) Lab operates within the School of Informatics at Indiana University Purdue University Indianapolis (IUPUI), in cooperation with the User Simulation and Experience Research Lab. The focus of our research is on interdependent teams in technologically complex work environments characterized by uncertainty, stress, high risk, changing moods, and varying levels of expertise. The GRaPPa Lab employs a mixed-methodological approach. Field studies provide rich and nuanced knowledge about individuals and teams at work in complex environments. Likewise, controlled laboratory experiments have provided the foundation for countless contributions to our understanding of the human characteristics that impact the development and use of systems, devices, and environments. Yet such experiments are limited in what they can tell us about work situated in real-world settings, just as field studies are limited in their support for precision and replicability. The GRaPPa Lab leverages the strengths of both through the use of simulated task environments and scaled worlds in the search for holistic assessments of group behavior and task performance. This poster will showcase aspects of an ongoing research program, Bridging the Situation Space to Decision Space Gap. This project is examining the modeling and visualization of decision space information to supplement situation space information in the contexts of disease contagion and emergency management. To enhance the decision support of emergency responders, we are examining the ability of decision space visualization tools to enhance option awareness and support more robust decision making. This work is focused on detailing the impact of the decision space information provided to users, relating the correctness of decisions to the levels of complexity represented in the events, and the affordances for understanding alternative actions. This ongoing project is focused on prototyping multiple visualization methods and testing them in human-in-the-loop experiments based on the domain of emergency crisis management. In addition, the computer models underlying the decision space are being expanded to support increasingly complex situations. This research provides further insight into the value of decision space information and option awareness for users working in complex environments

MARVAND: Mobile Application for Relief Volunteering Activity after Natural Disaster

poster abstractModern technologies play significant roles in the natural disaster domain. Current services focus mostly on providing information, recruiting volunteers, and donating money and goods, butless on supporting the activities of on-site volunteers. Our preliminary interviews showed that there are not enough experts on hand to help support on-site volunteers, and it is difficult to keep track of whether help requests have been met. To fill this gap, we proposed a MARVAND, utilizing LBS, with three main features: ‘Instant Crowd Knowledge’ providing access to remote experts using crowdsourcing; ‘Volunteer Radar’ providing awareness of other volunteers nearby; and ‘Reunite Missing Family Members’ helping reunite families who have been separated as a result of the disaster. The results of the evaluations with twelve participants who had experience in disaster relief volunteering activities demonstrated that the MARVAND could support activities of onsite volunteers after the natural disaster, and serve as an additional communication channel between volunteers and experts

Impact of Physical Activity on All-Cause Mortality According to Specific Cardiovascular Disease

BackgroundPatients with cardiovascular disease (CVD) tend to have higher mortality rates and reduced physical activity (PA). We aimed to evaluate the effect of PA on mortality in older adults with specific CVD.MethodsWe enrolled 68,223 participants (n = 23,871 with CVD, n = 44,352 without CVD) aged ≥65 years with available physical activity data between 2005 and 2012 from the Korean National Health Insurance Service of Korea-Senior database. CVD was defined as a history of ischemic stroke, transient ischemic attack, heart failure, myocardial infarction, and peripheral artery disease.ResultsPatients with CVD were older than those without CVD. Compared with the sedentary group, the physically active groups with and without CVD had a lower incidence and risk of all-cause death during a median follow up period of 42 (interquartile range 30-51) months. A 500 metabolic equivalent task-min/week increase in PA resulted in an 11% and 16% reduction in the risk of mortality in the non-CVD and CVD groups, respectively. With regard to specific CVDs, the risk of mortality progressively reduced with increasing PA in patients with heart failure or myocardial infarction. However, the reduction reached a plateau in patients with stroke or peripheral artery disease, but was significantly greater in patients with stroke (20% vs. without stoke, 11%, Pint = 0.006) or heart failure (13% vs. without heart failure, 11%; Pint = 0.045).ConclusionsPA was associated with a reduced risk of all-cause mortality in older adults with and without CVD. The benefits of PA in patients with CVD, especially patients with stroke or heart failure, were greater than those without

Stochastic Particle Flow for Nonlinear High-Dimensional Filtering Problems

A series of novel filters for probabilistic inference that propose an alternative way of performing Bayesian updates, called particle flow filters, have been attracting recent interest. These filters provide approximate solutions to nonlinear filtering problems. They do so by defining a continuum of densities between the prior probability density and the posterior, i.e. the filtering density. Building on these methods' successes, we propose a novel filter. The new filter aims to address the shortcomings of sequential Monte Carlo methods when applied to important nonlinear high-dimensional filtering problems. The novel filter uses equally weighted samples, each of which is associated with a local solution of the Fokker-Planck equation. This hybrid of Monte Carlo and local parametric approximation gives rise to a global approximation of the filtering density of interest. We show that, when compared with state-of-the-art methods, the Gaussian-mixture implementation of the new filtering technique, which we call Stochastic Particle Flow, has utility in the context of benchmark nonlinear high-dimensional filtering problems. In addition, we extend the original particle flow filters for tackling multi-target multi-sensor tracking problems to enable a comparison with the new filter

Quality of Life in Patients with Osteoporotic Vertebral Fractures

Study DesignA case-control study.PurposeTo examine several dimensions of health-related quality of life (HRQL) in postmenopausal women with osteoporotic vertebral fractures, compared with a control group.Overview of LiteratureOsteoporotic vertebral fractures are a major cause of morbidity among postmenopausal women. There have been many reports of a decrease in the quality of life in patients with osteoporotic vertebral fractures. However,few reports have analyzed which dimensions contribute to the decline in quality of life.MethodsOne thousand five hundred forty-five postmenopausal women aged 50 years and older from 17 study sites in nationwide hospitals were in enrolled in the study (between April 2008 and January 2009). HRQL was measured using the European Quality of Life 5 Domains (EQ-5D), and visual analogue scale (VAS).ResultsThe average VAS of the case group was 57.80, and that of the control group was 64.10 (p=0.001). All domains of the EQ-5D score were significantly worse in the case group (p=0.001). Among the case group, the average VAS of the 559 patients (45%) who were operated on was 56.8, and that of the remaining 680 patients (55%) who were treated conservatively was 58.6 (p=0.135). Among the case group, the averages of each EQ-5D domain of the 559 patients (45%) who were operated on were: 1.87 in mobility, 1.81 in self-care, 1.99 in usual activities, 2.11 in pain, and 1.62 in anxiety or depression. Those of the 680 patients (55%) who were treated conservatively were: 1.72 in mobility, 1.60 in self-care, 1.76 in usual activities, 1.98 in pain, and 1.57 in anxiety or depression. Except for the domain of anxiety or depression, scores for the other domains were all significantly worse in the patients who were operated on (p=0.001).ConclusionsHealth related quality of life in the patients with osteoporotic vertebral fractures was significantly worse in both the EQ-5D domains and VAS. Among the osteoporotic vertebral fracture patients, the patients who were operated on had a worse quality of life in EQ-5D