Mobile Experience Sampling Method: Capturing the Daily Life of Elders

Hu, Rong; Deng, Xianjun; Sun, Xiaoning; Zhao, Yuxiang; Zhu, Qinghua

doi:10.1007/978-3-030-22012-9_4

Cited by 2 publications

(3 citation statements)

References 22 publications

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“…Future studies are encouraged to employ more longitudinal and contextualized methods in virtual settings. For example, the mobile experience sampling method (mESM) allows researchers to measure participants' behavior, thoughts and feelings within or close to the context being studied (Larson and Csikszentmihalyi, 2014; Hu et al , 2019). The mESM method can help collect more reliable data as people may not answer accurately or easily forget details about their actual behavior when they are out of context.…”

Section: Discussionmentioning

confidence: 99%

Characteristics of the health information seeking behavior of LGBTQ+ individuals: a systematic review on information types, information sources and influencing factors

Jia

Zhao

2021

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PurposeLesbian, gay, bisexual, transgender and queer/questioning (LGBTQ+) individuals' health information seeking is an important topic across multiple disciplines and areas. The aim of this systematic review is to create a holistic view of sexual and gender minority individuals' health information seeking reported in multidisciplinary studies, with regard to the types of health information LGBTQ+ individuals sought and information sources they used, as well as the factors influencing their health information seeking behavior.Design/methodology/approachThe review is based on the literature search in 10 major academic databases. A set of inclusion and exclusion criteria was applied to identify studies that provide evidence on LGBTQ+ individuals' health information seeking behavior. The studies were first screened by title and abstract to determine whether they met the inclusion criteria. The full texts of each relevant study were obtained to confirm whether the exclusion criteria were met. The reference lists of the included studies were manually scanned. The relevant information was then extracted from selected articles and analyzed using thematic content analysis.FindingsA seed set of 3,122 articles published between 1997 and 2020 was evaluated, and 46 total articles were considered for further analysis. The review results show that two major categories of health information sought by LGBTQ+ individuals were sexual and nonsexual, which were further classified into 17 specific types. In terms of health information sources, researchers have reported that online resources, interpersonal sources and traditional media were frequently used. Moreover, 25 factors affecting LGBTQ+ individuals' health information seeking were identified from the literature.Originality/valueThrough evidence-based understanding, this review preliminarily bridged the knowledge gap in understanding the status quo of studies on LGBTQ+ individuals' health information seeking and proposed the potential research directions that information science researchers could contribute to this important area.

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Section: Discussionmentioning

confidence: 99%

Characteristics of the health information seeking behavior of LGBTQ+ individuals: a systematic review on information types, information sources and influencing factors

Jia

Zhao

2021

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“…Technological advances in recent decades have resulted in smaller and less intrusive monitoring devices that are suitable for use in daily life, as well as efficient algorithms that are able to deal with complex and large datasets. The technologies most commonly used to monitor and engage the elderly are computers [ 21 ] and mobile devices [ 9 , 20 , 22 , 28 , 35 ], wearable sensors [ 10 , 23 , 36 , 37 , 38 ], ambient sensors [ 18 , 23 , 24 ], virtual reality systems [ 15 , 17 , 25 ], and robots [ 8 , 39 ]. The monitoring of the elderly includes two areas: the monitoring of the body [ 10 , 15 , 21 , 37 , 40 ] and the monitoring of the mind [ 9 , 15 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

“…The monitoring of the elderly includes two areas: the monitoring of the body [ 10 , 15 , 21 , 37 , 40 ] and the monitoring of the mind [ 9 , 15 , 25 ]. There is also continuous monitoring [ 10 , 22 , 24 , 35 ] and monitoring during interventions (e.g., when using mobile applications) [ 9 , 15 , 21 ]. Monitoring is used in functional assessment for the early detection of diseases and health deterioration [ 9 , 10 , 15 , 18 ], supporting independent living [ 22 , 23 , 24 , 28 , 29 , 30 , 31 ], evaluating the performance of promoted behaviours [ 15 , 20 , 21 , 25 ], and creating awareness about a current behaviour, which can motivate healthier behaviours [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

The Problem of Monitoring the Psycho-Physical Condition of Seniors during Proposed Activities in Urban Space

Lach

Szewczenko

Bursiewicz

et al. 2023

Sensors

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The world’s population is rapidly ageing, which places a heavy burden on traditional healthcare systems with increased economic and social costs. Technology can assist in the implementation of strategies that enable active and independent ageing by promoting and motivating health-related behaviours, monitoring, and collecting data on daily life for assessment and for aiding in independent living. ICT (Information and Communication Technology) tools can help prevent cognitive and physical decline and social isolation, and enable elderly people to live independently. In this paper, we introduced a comprehensive tool for guiding seniors along the designed urban health paths employing urban architecture as an impulse to perform physical and cognitive exercises. The behaviour of seniors is monitored during their activities using wearable sensors and mobile application. We distinguished three types of data recipients (seniors, path/exercise designers, and the public), for whom we proposed methods of analysing the obtained data and examples of their use. In this work, a wide range of diverse information was examined from which short- and long-term patterns can be drawn. We have also shown that by fusing sensory data and data from mobile applications, we can give context to sensory data, thanks to which we can formulate more insightful assessments of seniors’ behaviour.

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Mobile Experience Sampling Method: Capturing the Daily Life of Elders

Cited by 2 publications

References 22 publications

Characteristics of the health information seeking behavior of LGBTQ+ individuals: a systematic review on information types, information sources and influencing factors

Characteristics of the health information seeking behavior of LGBTQ+ individuals: a systematic review on information types, information sources and influencing factors

The Problem of Monitoring the Psycho-Physical Condition of Seniors during Proposed Activities in Urban Space

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