2014
DOI: 10.1109/jbhi.2013.2294276
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Unobtrusive In-Home Detection of Time Spent Out-of-Home With Applications to Loneliness and Physical Activity

Abstract: Loneliness is a common condition in elderly associated with severe health consequences including increased mortality, decreased cognitive function, and poor quality of life. Identifying and assisting lonely individuals is therefore increasingly important—especially in the home setting—as the very nature of loneliness often makes it difficult to detect by traditional methods. One critical component in assessing loneliness unobtrusively is to measure time spent out-of-home, as loneliness often presents with decr… Show more

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Cited by 50 publications
(59 citation statements)
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References 26 publications
(21 reference statements)
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“…These results have important consequences for future studies on loneliness, especially on the identification of lonely individuals. Because loneliness may change in response to many life events and is closely related to social isolation, it may be more timely and informative to identify lonely individuals by tracking changes in the social network or other daily behaviors using unobtrusive monitoring techniques (Kaye et al, 2010; Petersen, Austin, Kaye, Pavel, & Hayes, 2014). For example, tracking call history would enable assessment of social network size and frequency of contact—the two major components of social isolation scales (Petersen, Thielke, Austin, & Kaye, 2015).…”
Section: Discussionmentioning
confidence: 99%
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“…These results have important consequences for future studies on loneliness, especially on the identification of lonely individuals. Because loneliness may change in response to many life events and is closely related to social isolation, it may be more timely and informative to identify lonely individuals by tracking changes in the social network or other daily behaviors using unobtrusive monitoring techniques (Kaye et al, 2010; Petersen, Austin, Kaye, Pavel, & Hayes, 2014). For example, tracking call history would enable assessment of social network size and frequency of contact—the two major components of social isolation scales (Petersen, Thielke, Austin, & Kaye, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…For example, tracking call history would enable assessment of social network size and frequency of contact—the two major components of social isolation scales (Petersen, Thielke, Austin, & Kaye, 2015). Other behaviors that may relate to loneliness that can be tracked unobtrusively include time spent outside the home (Petersen et al, 2014; Petersen, Austin, Mattek, & Kaye, 2015), computer use (Amichai-Hamburger & Ben-Artzi, 2003), and sleep quality (Hawkley et al, 2010). Such approaches to loneliness identification would have dramatic consequences for the understanding of loneliness, enabling researchers to monitor and assess loneliness levels on smaller timescales such as daily or even hourly.…”
Section: Discussionmentioning
confidence: 99%
“…One of the earliest introductions was by Dishman [14], who discussed the potential for such systems to collect data on behaviours, detect problems in a timely manner and support interventions. Given their potential to address many challenges associated with ageing, there is a vast amount of research within the smart home and AAL space, including to detect monitoring the onset of low mood or depression [15], 1 http://www.withings.com/eu/ [16], motor and cognitive function [2], [17]; and patterns of activity [18]. Studies have ranged in design from short stays in artificial residences occupied by researchers, to deployments of smart home technology in the permanent homes of older adults.…”
Section: Related Workmentioning
confidence: 99%
“…Their ISAAC project is large scale, with approximately 164 participants being monitored over a 5-year period [19]. Their research has focused on data analysis of nighttime activity, computer use and motor activity, including time spent outside the home [17], [18] and healthcare professionals' views on such monitoring technology [7]. From the older adult's point of view they have examined acceptability as well as willingness to share data and privacy concerns [20].…”
Section: Related Workmentioning
confidence: 99%
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