Perspectives of Older Adults With and Without Cognitive Impairment on GPS‐based Driving Monitoring Systems: An Exploratory Study
Notice bibliographique
Résumé
BACKGROUND: Dementia impairs cognitive functions, potentially compromising an individual's ability to drive safely. GPS-based Driving Monitoring Systems (DMS) are increasingly used to study naturalistic driving patterns of individuals with cognitive impairment in real-world conditions. However, the successful implementation of DMS technologies depends on a comprehensive understanding of their acceptability and usability. OBJECTIVE: To evaluate the usability and acceptability of DMS among cognitively intact older adults and older adults with mild cognitive impairment (MCI). METHOD: Thirteen participants (9 cognitively intact, 4 with MCI) had a DMS installed in their vehicles for 8 weeks. On the last day, participants completed a user acceptance questionnaire, which included items on Perceived Usefulness (e.g., "The device could improve the quality of my driving"), Perceived Privacy (e.g., "The device threatens my privacy"), Perceived Comfort (e.g., "Using the device was annoying"), and Facilitating Conditions (e.g., "The device limits how I like to drive"). Responses were measured using a 6-point Likert scale ranging from 1="Completely Agree" to 6="Completely Disagree." The median (M) and the interquartile range (IQR) were calculated. Group comparisons were performed using the Mann-Whitney U test. RESULT: Participants in both groups largely disagreed with the statements "The device limits the way in which I like to drive" (M=6, IQR=1.5) and "I think using the device was annoying" (M=6, IQR=2.25), indicating high comfort and minimal perceived interference. To a slightly lesser extent, they also disagreed with the statement "I think that the device threatens my privacy" (M=5, IQR=2.5), reflecting low concerns about privacy. Responses regarding the Perceived Usefulness of the device were more varied (M=2.5, IQR=3.75), indicating uncertainty about its potential benefits. Participants with MCI expressed less disagreement with the statement "The device limits the way in which I like to drive" compared to controls (p <0.05). No other statistically significant differences were observed. Open-ended responses included: "I didn't notice the device," "It should be smaller," and "The device didn't change my driving." CONCLUSION: Preliminary results suggest that older adults with MCI consider the DMS technologies to be acceptable and useful. Future research will involve a larger sample size and explore additional factors influencing acceptance and usability.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».