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Record W3156116221 · doi:10.1055/s-0041-1726492

Ambient Assisted Living: Identifying New Challenges and Needs for Digital Technologies and Service Innovation

2021· article· en· W3156116221 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueYearbook of Medical Informatics · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAssisted livingBusinessExploratory researchService delivery frameworkWork (physics)Perspective (graphical)Service (business)Focus groupService providerHealth careMarketingIndependent livingDigital healthKnowledge managementPublic relationsProcess managementNursingComputer scienceGerontologyMedicineSociologyEngineeringPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: The ambient assisted living (AAL) market is rapidly becoming fundamental to the delivery of health and social care services for the elderly. Worldwide many different steps have been taken to increase the engagement of older adults with these technologies. Much of this work has focused on the development of novel digital services that increase wellbeing or tackle social challenges. AIM: The aim of the study was to identify and describe the demands for AAL-services from the perspective of older adults. We also examine the challenges and needs of the ambient assisted living market using a needs based approach. METHOD: An exploratory case study was conducted with an aim to capture information about older adults' demands for AAL services. A survey was used to collect the data. The survey study respondents validated the results. RESULTS: The results of the study indicate that the area of AAL needs be studied from a multiple-sided market perspective. Our research suggests there is a need to describe and understand the factors that facilitate or constrain the implementation of services with focus on health and social care. There is also a need to describe and analyze the relationship between policy and practice and its effects on the AAL market. It is necessary to capture expressed demand, to identify market challenges at the macro level and to be able to understand how services should operate and serve older adults in practice. Such research is critical to the development of guidance for policy makers, suppliers and service providers. DISCUSSION: Older adults are asking for intelligent, assistive living solutions that help them to continue to live independent lives and remain socially included in their networks, associations, and communities. The elderly need services that stimulate and maintain their physical and intellectual capital. The development of innovative AAL environments is, however, a complex social process that involves the use and delivery of innovative ICT-based services. The implementation and use of AAL to support older adults involve service providers and elderly consumers. CONCLUSIONS: The results of the study may be of interest to policy makers, entrepreneurs, technology suppliers, service providers and health and social care organizations, who are willing to innovate and influence the development of the AAL market through their choices and decisions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.321
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it