Older adults and mobile phones for health: A review

Joe, Jonathan; Demiris, George

doi:10.1016/j.jbi.2013.06.008

Cited by 189 publications

(145 citation statements)

References 56 publications

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“…The findings from Jenkins et al (1) are consistent with the other ample literature that considers acceptability of using mobile phones and other digital solutions for health promotion and disease self-management (8,9), including those that use sensors to monitor activity (10), those that consider acceptability for mHealth in low and middle income settings (11) and those that consider acceptability for low income (12) and elderly (13).…”

supporting

confidence: 66%

Beyond acceptability and feasibility: moving mHealth into impact

Bull¹

2016

mHealth

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supporting

confidence: 66%

Beyond acceptability and feasibility: moving mHealth into impact

Bull¹

2016

mHealth

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“…With the rapid growth of mobile phone technologies, paralleled with the rapid increases of the elderly population, there is a golden opportunity to use mobile phones to help manage older adults' health, in order to affect, in a positive and sustainable way, their quality of life and well-being [11], [12]. Mobile phones, especially smartphones, increasingly play an important role in the homecare of older adults, covering an increasing variety of clinical areas; for instance, in order to study the gradual loss of autobiographical memory of Alzheimer's disease patients, De Leo et al [13] used the smartphone technology to automatically take photos for helping to improve the memory recall of the patients.…”

Section: Smart Technologies and Healthy Ageingmentioning

confidence: 99%

On Capturing Older Adults’ Smartphone Keyboard Interaction as a Means for Behavioral Change Under Emotional Stimuli Within i-PROGNOSIS Framework

Hadjidimitriou

Iakovakis

Charisis

et al. 2017

Universal Access in Human–Computer Interaction. Design and Development Approaches and Methods

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Abstract. The unobtrusive use of smartphone technology, as a facilitator and as a means of capturing the daily activities, can be seen as a great challenge in routine monitoring and in promoting behavioural change in older adults. In the present study, a protocol of a sequence of emotional stimuli database was combined with a sequence of emotion-free text typing using a dedicated keyboard of a smartphone and used for capturing the users' patterns of typing, in terms of hold time (HT), alteration time (AT) and pressure (PR) of each key. Six older adults (three male/female) were employed in the study and sequences of images with facial expressions of Ekman's six basic emotions (with the addition of the neutral one) were used as stimuli in a three-trial fashion. Statistical analysis of HT, AT and PR data revealed differences in the typing due to emotions alteration, setting a new domain for the analysis and behavioural modeling of older adults' typing patterns under specific emotional stimuli. This combinatory approach amongst emotional and physical status could be adopted in the field of intelligent monitoring of the healthy ageing and could be extended to elderlies' pathology cases, such as Parkinson's disease, as approached by the i-PROGNOSIS initiative.

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“…In the field of mHealthcare, it is important to note that SBDAs provide connectivity to remote healthcare laboratories, increased adherence to health monitoring, greater alignment to treatment and medication regimens, better management of chronic diseases, improved communication between healthcare professionals, community screening for specific disease conditions, and the prevention of infectious and sexually-transmitted diseases and child obesity [123][124][125][126][127][128][129][130][131][132][133]. Recent developments in mHealthcare and telemedicine have drawn much attention to the use of smartphones as a platform for various mobile healthcare applications.…”

Section: Diagnostic Applicationsmentioning

confidence: 99%