scholarly journals A study protocol: co-designing an adaption of a mobile application to enhance communication, safety and wellbeing for people living at home with early stage dementia (Preprint)

10.2196/19543 ◽  
2020 ◽  
Author(s):  
Karen Davies ◽  
Bie Nio Ong ◽  
Sudeh Cheraghi-Sohi ◽  
Katherine Perryman ◽  
Caroline Sanders
Keyword(s):  
Study Protocol ◽  
Mobile Application ◽  
Early Stage ◽  
At Home

A study protocol: co-designing a mobile application to enhance communication, safety and wellbeing for people living at home with early stage dementia (Preprint)

2020 ◽  
Author(s):  
Karen Davies ◽  
Bie Nio Ong ◽  
Sudeh Cheraghi-Sohi ◽  
Katherine Perryman ◽  
Caroline Sanders
Keyword(s):  
Mobile Application ◽  
Design Research ◽  
Early Stage ◽  
Design Method ◽  
Mobile Apps ◽  
Care Service ◽  
Normalisation Process Theory ◽  
Policy And Practice ◽  
People With Dementia ◽  
At Home

BACKGROUND Background: There is a growing interest in using mobile applications in supporting health and wellbeing. Evidence directly from people with dementia regarding the acceptability, usability and usefulness of mobile apps is limited. It builds on ‘My Health Guide’ which was co-designed with people with cognitive disabilities. . OBJECTIVE Objective This paper describes the protocol of a study evaluating an app designed for supporting wellbeing with people living with dementia, specifically focusing on enhanced safety through improved communication METHODS Method: The study will employ design research, using participatory qualitative research methods over three cycles of evaluation with service users, their families and practitioners. The study will be developed in partnership with a specialist home care service in England. A purposive case selection will be used to ensure that the cases exemplify differences in experiences. The app will be evaluated in a ‘walkthrough’ workshop by people living with early stage dementia and then trialled at home by up to 12 families in a ‘try-out’ cycle. An amended version will be evaluated in a final ‘walkthrough’ workshop in cycle 3. Data will be collected from at least four data sources during the try-out phase and analysed thematically (people with dementia, carers, practitioners and app usage). An explanatory, multiple-case study design will be used to synthesise and present the evidence from the three cycles drawing on Normalisation Process Theory to support interpretation of the findings. RESULTS Results: The study is ready to be implemented but has been paused to protect vulnerable individuals during the Coronavirus in 2020. The findings will be particularly relevant for understanding how to support vulnerable people living in the community during social distancing and the period following the pandemic, as well as providing insight into the challenges of social isolation arising from living with dementia CONCLUSIONS Discussion: Evaluating a mobile application for enhancing communication, safety and wellbeing for people living with dementia contributes to key ambitions enshrined in policy and practice, championing the use of digital technology and supporting people with dementia to live safely in their own homes. The study uses a co-design method to enable the voice of users with dementia to highlight the benefits and challenges of technology and shape future development of apps that potentially enhances safety through improved communication.

scholarly journals Remote monitoring of progression in early Parkinson's disease: reliability and validity of the Roche PD Mobile Application v2

2021 ◽  
Author(s):  
Florian Lipsmeier ◽  
Kirsten I Taylor ◽  
Ronald B Postuma ◽  
Ekaterina Volkova-Volkmar ◽  
Timothy Kilchenmann ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Mobile Application ◽  
Rating Scale ◽  
Early Stage ◽  
Digital Health ◽  
Intraclass Correlation ◽  
Reliability And Validity ◽  
Health Technologies ◽  
At Home

Digital health technologies (DHTs) enable remote and therefore frequent measurement of motor signs, potentially providing reliable and valid estimates of motor sign severity and progression in Parkinson's disease (PD). The Roche PD Mobile Application v1 was revised to v2 to include more measures of bradykinesia, and bradyphrenia and speech tests, to optimize suitability for early-stage PD. It was studied in 316 early-stage PD participants who performed daily active tests at home then carried a smartphone and wore a smartwatch throughout the day for passive monitoring (study NCT03100149). Adherence was excellent (96.29%). All pre-specified sensor features exhibited good-to-excellent test-retest reliability (median intraclass correlation coefficient = 0.9), and correlated with corresponding Movement Disorder Society - Unified Parkinson's Disease Rating Scale items (rho: 0.12-0.71). These findings demonstrate the preliminary reliability and validity of remote at-home quantification of motor sign severity with the Roche PD Mobile Application v2 in individuals with early PD.

scholarly journals Palate: The App for Finding Restaurant Faster

2021 ◽  
Author(s):  
Patrick Gioseffi
Keyword(s):  
Mobile Application ◽  
Early Stage ◽  
Design Principles ◽  
Major Research ◽  
Research Project ◽  
On Demand ◽  
Current Process ◽  
The Moment ◽  
The Impact

This Major Research Project (MRP) aims to investigate the impact of the on-demand economy, millennials’ digital habits, and the emergence of super apps on the restaurant-finding process. Currently, restaurant-goers are presented with multiple specialty applications to complete different tasks when evaluating restaurants. The current process of deciding on a restaurant is both time-consuming and inefficient. This project aims to propose a solution to this problem in the form of an early-stage super app called Palate. Palate is a mobile application that aims to streamline the process of discovering restaurants from the moment a restaurant-goer begins their search to the moment they confirm a reservation. This paper will discuss design principles, theories of the on-demand economy, restaurant-goers digital habits, super apps and the rationale for designing a restaurant super app interface.

scholarly journals The Smart Health Care Prediction using Chatbot

2020 ◽  
Vol 9 (2) ◽  
pp. 75-78
Keyword(s):  
Health Care ◽  
Early Stage ◽  
The Other ◽  
Health Issue ◽  
The People ◽  
Smart Health ◽  
Chat Bot ◽  
Medical Healthcare ◽  
Is Design ◽  
At Home

Our healthcare is very much important to lead a peaceful and honest life. If any health issue occurs, we need to go to the hospital and consult the doctor for the very minor problems. our healthcare chatbot is developed to help the people to predict their health issue early at home before they visit the doctor or hospital for the mi nor problems. For the minor issues we are spending lots of costs. The healthcare chatbot is design to reduce such costs and also its improves the efficiency of the medical healthcare. There were many chatbots available they act as a reference for the patient to know more about their health issue. The healthcare chatbot is something different from the other chatbots which predicts the diseases by using symptoms and gives the doctor details to consult the doctor. The healthcare chatbot is developed by using AI in the text to text conversation mode. The user who knows only to write and read can use this chatbot for their minor issue. In this healthcare chatbot, the system predicts the diseases based on the symptom given by the user using the pattern concept in AIML algorithm. The system also predicts the prescription and also give the doctor details to the user based on the diseases predicted for their symptom given. By using this healthcare chat bot people will know the minor diseases at early stage with no costs. Whenever the patient or user gets the time they will consult doctor for their health issue. This will make people to know more about their health issue anywhere at any time.

The Implementation and Acceptability of a Combined Mobile Application with a COVID-19 at-Home Test Kit

2021 ◽  
Author(s):  
Adrian H. Zai ◽  
Molly Caffrey ◽  
Conor S. O'Brien ◽  
Dawei Jiang ◽  
Remona Kanyat ◽  
...  
Keyword(s):  
Mobile Application ◽  
Home Test ◽  
Test Kit ◽  
At Home

SpBiSeq: An Early-Stage Fingerprint Generation Method with High Robustness for Encrypted Mobile Application Traffic

2021 ◽  
Author(s):  
Junzheng Shi ◽  
Chen Yang ◽  
Qingya Yang ◽  
Jialin Zhang ◽  
Mingxin Cui ◽  
...  
Keyword(s):  
Mobile Application ◽  
Early Stage

Designing Mobile Multimodal Applications

2010 ◽  
pp. 106-135 ◽  
Author(s):  
Marco de Sá ◽  
Carlos Duarte ◽  
Luís Carriço ◽  
Tiago Reis
Keyword(s):  
Quantitative Analysis ◽  
Mobile Application ◽  
Early Stage ◽  
Evaluation Process ◽  
Scenario Generation ◽  
Blind Users ◽  
Digital Books ◽  
Support Evaluation

In this chapter we describe a set of techniques and tools that aim at supporting designers while creating mobile multimodal applications. We explain how the additional difficulties that designers face during this process, especially those related to multimodalities, can be tackled. In particular, we present a scenario generation and context definition framework that can be used to drive design and support evaluation within realistic settings, promoting in-situ design and richer results. In conjunction with the scenario framework, we detail a prototyping tool that was developed to support the early stage prototyping and evaluation process of mobile multimodal applications, from the first sketch-based prototypes up to the final quantitative analysis of usage results. As a case study, we describe a mobile application for accessing and reading rich digital books. The application aims at offering users, in particular blind users, means to read and annotate digital books and it was designed to be used on Pocket PCs and Smartphones, including a set of features that enhance both content and usability of traditional books.

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