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Record W4399509081 · doi:10.4017/gt.2024.23.1.880.06

Enhancing communication and autonomy in dementia through technology: Navigating home challenges and memory aid usage

2024· article· en· W4399509081 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGerontechnology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology Use by Older Adults
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsAutonomyDementiaPsychologyGerontologyComputer scienceInternet privacyMedicinePolitical science

Abstract

fetched live from OpenAlex

Background: As dementia prevalence rises, people living with dementia (PLwDs) and their caregivers encounter complex challenges within home environments.This study focuses on understanding and addressing these challenges while emphasizing memory aid usage.By adopting a user-centered approach, we navigate existing memory aid limitations to create more effective, tailored solutions for dementia care.Objective: To investigate and co-design innovative assistive memory technologies, the primary research question being addressed is: how can the development and implementation of a reminder system address the multifaceted challenges faced by PLwDs and their caregivers?Method: By conducting a qualitative analysis through in-depth interviews and prototype demonstrations of a reminder system with dyads of PLwDs and their caregivers, our research facilitated a co-design process by delving into home environment challenges, adaptive strategies, memory aid usage, and opportunities for improvement.The study employed a qualitative methodology to extract valuable insights that inform the development of innovative assistive memory technologies.Results: Findings revealed multifaceted challenges faced by PLwDs and their coping strategies in daily activities, emphasizing the need for tailored memory aids.Participants expressed preferences for various interaction methods, sizes, and functionalities of reminder units, including digital reminders, smartphone apps, and specialized software.The study revealed that factors such as openness to adopting new technologies and related preferences exhibited notable variations linked to the demographic characteristics of the participants.Noteworthy trends emerged in relation to characteristics such as age, household income, and the severity of dementia.Furthermore, insights obtained from the demonstration of a prototype, showcasing its functionality and user-friendly interface, provided valuable feedback for refining the reminder system.Preliminary outcomes suggested the potential for improvements in both autonomy and communication among PLwDs.Conclusion: This research contributes valuable insights into the development of assistive memory technologies to enhance autonomy and communication for PLwDs.By bridging gaps in current memory aid usage, our study informs the development of innovative assistive technologies that can significantly impact the quality of life for PLwDs and their caregivers.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.023
GPT teacher head0.305
Teacher spread0.281 · 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