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Life Changes, Connection Stays: Photo Sharing and Social Connectedness for People with Special Needs
We study the effects of digital photo sharing on social connectedness of people with special needs. We target people dealing with a transition in life that forced them to live away from their family and friends. Our study included four people with spinal-cord injury staying in a rehabilitation centre and eight elderly people staying in a nursing home. Each participant was provided with a web-enabled digital photo frame and their family members were provided with a camera phone. The results of our study show positive effects. For rehabilitants photo sharing simplified the way they could reconnect to their family. For the elderly people, photo sharing served as 'food for talk'.
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Using Online Social Networks to Increase the Engagement in Physical Activity Programs
The advancement of current technology allows developing lightweightunobtrusive devices, which detect human physical activity. However, there has always been a major issue, hindering the regular usage ofthese gadgets - many people find it difficult to fit them in theirdaily routine. In this thesis, we develop an application, which allows us to measure the influence of online social networks on people involved in physical activity programs. On the grounds of our literature research, we identify different motivational triggers that can be employed for the design of a social network application in the context of physical activity programs. Based on these findings, we design and implement the ActiveTeam application, using Facebook as underlying social network service. In the course of the document we propose several methods to evaluate the behaviour of ActiveTeam users. These methods areintended to help us analyze and improve the application once it ismade available to a large number of users.
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Towards a Mobile Application to Create Sedentary Awareness
Prolonged sitting time is a potential health risk, not only for people with an inactive lifestyle, but also for those who do meet the recommended amount of physical activity. In this paper, we evaluate SitCoach, a mobile application to nudge people from their seats. SitCoach monitors physical activity and sedentary behavior to provide timely feedback by means of suggesting sitting breaks. A pilot experiment with a group of 8 users learned that the general awareness of the importance of sitting breaks is low. Combined with the belief that the ability to take sitting breaks is highly dependent on externalfactors, a strategy of proposing break reminders may not be the most successful for this target group. Future work should focus on creating awareness of the problem and providing insights into personal sitting behavior.
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You and me, how (in-)active are we? The potential of sharing physical activity information to increase motivation
This report describes the theoretical background and development of an application to share physical activity information, as well as the results of a four-week field study in which people shared physical activity information as measured by the Philips Activity Monitor. The existing web-service DirectLife was enhanced with an interface that visualizes similarities, activity levels and patterns between users. The application, developed by deploying user-centered design methods, displays several attributes of physical activity. During the field study two groups of seven participants carried the activity monitor and shared activity information; either visualized on a publicly shared or private display. Visualizing similarities in physical activity is expected to increase interpersonal awareness, communication and perceived closeness. From the perspective of self-determination theory (SDT), this should increase the fulfillment of the need to belong. Such a fulfillment is expected to increase intrinsic motivation for physical activity and engagement in using the activity monitor. The results show the promise of using similarity and enhancing connectedness for technology-based persuasion. In addition, several recommendations are made for future efforts aimed at increasing motivation for physical activity.
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Towards a Persuasive Mobile Application to Reduce Sedentary Behavior
Prolonged sitting is a potential health risk, not only for people with an inactive lifestyle, but also for those who do meet the recommended amount of physical activity. In this paper, we present two waysto promote the reduction of sedentary behavior. First, we report onan experiment in which office workers (n = 40) received timely persuasive messages on their smartphones, advising them to take an active break whenever 30 minutes of almost uninterrupted computer activity was recorded. The messages resulted in a significant decrease in computer activity and a peak in physical activity, indicating that participants complied to the given advice and took short breaks upon receiving a message. Second, we developed SitCoach, a mobile application to nudge office workers from their seats. SitCoach monitors physical activity and sedentary behavior to provide timely feedback by means of suggested sitting breaks. The results of a user test showedthat the general awareness of the importance of sitting breaks is low. In addition, the ability to take sitting breaks was considered to be highly dependent on external factors. This suggests that raising awareness and increasing self-efficacy are important prerequisitesfor a successful intervention to reduce sedentary behavior.
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Your menu choice: Exploring how tailored persuasive messaging influences the healthiness of menu choices
This report describes the use of personalized persuasive messages toinflu-ence healthiness of menu choice. The susceptibility to persuasion scale (STPS) was used to assign participants to different strategies. We hypothe-sized that persuasive messages would have a positive effect on menu choices. A 10-day experiment was setup to evaluatethe effect of susceptibility, in which the users were exposed to persuasive messages about healthy eating. Each of the persuasive messages implemented a particular social influence strategy. In total, 324 participants made a daily menu choice out of three presented menusthat differed in health score, for ten days in a row. The analysisincludes multilevel (regression) models that were fitted to accountfor the interdependency of the data points. The experiment does notshow significant evidence for any of the hypotheses; personalized (tailored) messages did not lead to healthier menu selection than contra-tailored, random or no messages at all. Therefore, it is assumedthat food choices are affected more by other factors than the subtlepersuasive intervention that was used in this study. However, participants were also asked to estimate the health of each menu. A (negative) effect of persuasive message principles was found on the health estimation of the menus. We suggest that the decrease in health estimation is caused by an increase of the health ideal. Furthermore,the results are compared to related work in the field of personalized persuasive messages. In particular with a similar study that has investigated persuasive effects on the reduction of snacking, here researchers found opposite results. The results of this study will help in designing a persuasion engine that will be implemented in the smart kitchen scenario, which has the purpose to create context awareness and empowers people to eat healthy.
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Algorithms for user centred, problem driven automated coaching: Functional test specification and demo scenario
In todays society, obtaining and maintaining a healthy lifestyle has become difficult for large groups of people. The easy availabilityof unhealthy food and the increasing number of (stressful) office jobs for example provide obstacles for sticking to a healthy diet, obtaining sufficient physical activity throughout the day and findingtime to relax. It is possible to obtain support to overcome theseobstacles from human coaches, or automated coaching systems. The latter are taking over the market for behavior modification support, due to the fact that they require less investment in terms both of money and time. Furthermore, such systems can provide more precise andbetter timed feedback on behavior, by using sensing and feedback devices (e.g. small accelerometers and a mobile phone) that users carrywith them througout the day. Such automated coaching systems currently follow one of the following approaches: one size fits all: all users follow the same trajectory throughout the program personalized coaching: at some points in the trajectory, the next coachingaction/trajectory is based on certain personal charac-teristics Human coaches still have an advantage over these automated coach-ing systems; they can acknowledge a clients personal issues. In PR-TN2012/00300 (M. Hendriks, M.A. Weffers, M. Spit and A.T. van Halteren, Algorithms for user centred, problem driven automated coaching), an automated coaching system is described which tailors the coachingtrajectory based on the problems that an individual user is encountering while trying to learn the new behaviour, using our coach-ing system. We call these problems/issues user dilemmas. Detection of ausers personal dilemma is done automatically. These algorithms are generically applicable, to any coaching system, or any service where user dilemmas can be identified. A generic component is planned to be implemented in the Digital Innovations platform, which deploysthese algorithms. This document describes A set of functional tests for this component, and a concept demonstrator of applicationof this component to a small use case.
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