A Predictive Model for Automatic Detection of Social Isolation in Older Adults

Martínez, Alicia; Ortiz, Virginia; Estrada, Hugo; González, Miguel Ángel Conde

doi:10.1109/ie.2017.35

Cited by 8 publications

(30 citation statements)

References 7 publications

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“…In practice, studies assess various older adults’ behavioral attributes and compare them with subjective measures. Older adults’ out-of-home habits measured in 5 of the studies [ 63 - 65 , 67 , 68 ] are reported as relevant attributes in inferring loneliness and social isolation. Thus, tracking attributes related to outings (time spent outside the house, number of outings, and number of places visited) seems consistently relevant in unobtrusive models to detect loneliness or social isolation.…”

Section: Resultsmentioning

confidence: 99%

“…Different studies report that diverse variables should be considered in prediction models with this type of technology. Time spent in the house is generally relevant in 1 study [ 68 ], whereas it is not in another [ 62 ]. Other reported significant variables include time spent in the living room [ 63 , 66 ], time spent across various locations [ 66 ], walking speed [ 62 ], nocturnal movements [ 66 ], and daytime napping [ 63 ].…”

Section: Resultsmentioning

confidence: 99%

“…Studies vary in terms of the development phase of the system. Martinez et al [ 68 ] propose a smartphone app that enables the users and caregivers to interact and receive feedback from the system, whereas Huynh et al [ 67 ] and Walsh et al [ 66 ] elaborate on potential interfaces. Some studies expand on the core issue of loneliness and social isolation inference.…”

Section: Resultsmentioning

confidence: 99%

“…Papers also report some study-related issues, such as small sample sizes [ 62 , 66 , 68 ], study durations [ 65 , 67 ], and nonoptimal study designs [ 62 , 65 ]. Likewise, some studies report technical problems, such as ensuring that sensor configurations work continuously [ 66 ], assessing situations with more than one person living in a house [ 66 , 67 ], and the intrusiveness of smartphone models [ 68 ]. Moreover, 2 studies note general ethical challenges regarding issues such as privacy, respect, or consent [ 62 , 66 ].…”

Section: Resultsmentioning

confidence: 99%

“…Austin et al [62], Goonawardene et al [63], Petersen et al [64,65], and Walsh et al [66] assessed smart home solutions explicitly, whereas Huynh et al [67] analyzed sensor-enabled homes. Martinez et al [68] combined smart homes and smartphones in their study. In the reviewed studies focusing on loneliness and social isolation alleviation, older adults have been introduced most often to social robots [69][70][71][72][73][74][75][76][77][78][79].…”

Section: Types Of Technologies Assessedmentioning

confidence: 99%

See 4 more Smart Citations

Older Adults’ Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review

Latikka¹,

Hernández²,

Lohan³

et al. 2021

J Med Internet Res

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Background Loneliness and social isolation can have severe effects on human health and well-being. Partial solutions to combat these circumstances in demographically aging societies have been sought from the field of information and communication technology (ICT). Objective This systematic literature review investigates the research conducted on older adults’ loneliness and social isolation, and physical ICTs, namely robots, wearables, and smart homes, in the era of ambient assisted living (AAL). The aim is to gain insight into how technology can help overcome loneliness and social isolation other than by fostering social communication with people and what the main open-ended challenges according to the reviewed studies are. Methods The data were collected from 7 bibliographic databases. A preliminary search resulted in 1271 entries that were screened based on predefined inclusion criteria. The characteristics of the selected studies were coded, and the results were summarized to answer our research questions. Results The final data set consisted of 23 empirical studies. We found out that ICT solutions such as smart homes can help detect and predict loneliness and social isolation, and technologies such as robotic pets and some other social robots can help alleviate loneliness to some extent. The main open-ended challenges across studies relate to the need for more robust study samples and study designs. Further, the reviewed studies report technology- and topic-specific open-ended challenges. Conclusions Technology can help assess older adults’ loneliness and social isolation, and alleviate loneliness without direct interaction with other people. The results are highly relevant in the COVID-19 era, where various social restrictions have been introduced all over the world, and the amount of research literature in this regard has increased recently.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Types Of Technologies Assessedmentioning

confidence: 99%

See 3 more Smart Citations

Older Adults’ Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review

Latikka¹,

Hernández²,

Lohan³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

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Sensor-based assessment of social isolation in community-dwelling older adults: a scoping review

Khan

Spinelli

et al. 2023

BioMed Eng OnLine

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Social isolation (SI) is a state of low social interaction with peers associated with various adverse health consequences in older adults living in the community. SI is most often assessed through retrospective self-reports, which can be prone to recall or self-report biases and influenced by stigma. Ambient and wearable sensors have been explored to objectively assess SI based on interactions of a person within the environment and physiological data. However, because this field is in its infancy, there is a lack of clarity regarding the application of sensors and their data in assessing SI and the methods to develop these assessments. To understand the current state of research in sensor-based assessment of SI in older adults living in the community and to make recommendations for the field moving forward, we conducted a scoping review. The aims of the scoping review were to (i) map the types of sensors (and their associated data) that have been used for objective SI assessment, and (ii) identify the methodological approaches used to develop the SI assessment. Using an established scoping review methodology, we identified eight relevant articles. Data from motion sensors and actigraph were commonly applied and compared and correlated with self-report measures in developing objective SI assessments. Variability exists in defining SI, feature extraction and the use of sensors and self-report assessments. Inconsistent definitions and use of various self-report scales for measuring SI create barriers to studying the concept and extracting features to build predictive models. Recommendations include establishing a consistent definition of SI for sensor-based assessment research and development and consider capturing its complexity through innovative domain-specific features.

show abstract

Sensor-based assessment of social isolation incommunity-dwelling older adults: A scopingreview

Khan

Spinelli

et al. 2022

Preprint

View full text Add to dashboard Cite

Social isolation (SI) is a state of low social interaction with peers associated with various adverse healthconsequences in older adults living in the community. SI is most often assessed through retrospective self-reports, which can be prone to recall or self-report biases and influenced by stigma. Ambient and wearable sensors have been explored to objectively assess SI based on interactions of a person within the environment and physiological data. However, because this field is in its infancy, there is a lack of clarity regarding the application of sensors and their data in assessing SI and the methods to develop these assessments. To understand the current state of research in sensor-based assessment of SI in older adults living in the community and to make recommendations for the field moving forward, we conducted a scoping review. The aims of the scoping review were to 1. Map the types of sensors (and their associated data) that have been used for objective SI assessment, 2. Identify the methodological approaches used to develop the SI assessment, and 3. Synthesize current understandings and knowledge gaps to be addressed in future research. Using an established scoping review methodology, we identified eight relevant articles. Data from motion sensors and actigraph were commonly applied and compared and correlated with self-report measures in developing objective SI assessments. Variability exists in defining SI, feature extraction and the use of sensors and self-report assessments. Inconsistent definitions and use of various self-report scales for measuring SI create barriers to studying the concept and extracting features to build predictive models. Recommendations include establishing a consistent definition of SI for sensor-based assessment research and development and consider capturing its complexity through innovative domain-specific features.

show abstract

A Predictive Model for Automatic Detection of Social Isolation in Older Adults

Cited by 8 publications

References 7 publications

Older Adults’ Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review

Older Adults’ Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review

Sensor-based assessment of social isolation in community-dwelling older adults: a scoping review

Sensor-based assessment of social isolation incommunity-dwelling older adults: A scopingreview

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