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“…A combination of sensors and smartphone applications allow automated recognition, so that time spent in proximity to another specific person can be quantified and reciprocal influences on behavior can be observed and modified 37 . A great deal of progress has also been made in sensing length and quality of social interactions using ambient sounds via smartphones or other wearable technologies 38 . Research has repeatedly shown that sensed and perceived environments do not necessarily overlap, and both have impact upon behavior 39 .…”
Section: Fast-paced Development Of Mobile Technologies For Obesity Prmentioning
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“…A combination of sensors and smartphone applications allow automated recognition, so that time spent in proximity to another specific person can be quantified and reciprocal influences on behavior can be observed and modified 37 . A great deal of progress has also been made in sensing length and quality of social interactions using ambient sounds via smartphones or other wearable technologies 38 . Research has repeatedly shown that sensed and perceived environments do not necessarily overlap, and both have impact upon behavior 39 .…”
Section: Fast-paced Development Of Mobile Technologies For Obesity Prmentioning
“…There is a rich literature on analyzing smartphone sensing data for smart health applications, focusing on physical, behavioral, or mental health [5, 24, 30-32, 34, 39]. For instance, BeWell [24] is a personal health monitoring app that analyzes physical activities, sleep, and social interactions in order to provide feedback on user lifestyle. An approach was developed in [5] to automatically recognize stress from smartphone's social interaction data, weather data, and self-reported personality information.…”
Section: Related Workmentioning
“…Previous work has addressed various issues with such notifications and other interruptions [18], including the effects of interruptions during phone calls [4], while the subject is engaged in interactive tasks [17], and multitasking [13]. Recently, researchers have developed automated schemes to deliver notifications depending on phone activity [11], a user's context, notification content, sender identity [31], and types of device interactions or physical activities [25,33], typically with the goal to reduce cognitive workload.…”
Section: Related Workmentioning
“…User surveys have been used as a primary tool for data collection in various user studies on topics such as addictive behavior [32,48,49], pain [52], health [3,39,45], well-being [25,61], customer satisfaction [14], and system usability analysis [19]. For example, in the health and well-being area, researchers rely on surveys to check how factors such as mood [62], social interactions, sleeping habits, levels of physical activity [61], life satisfaction levels [9], and spirituality [37,55] affect the health and well-being of an individual or an entire community.…”
Section: Introductionmentioning