Hybrid App Approach: Could It Mark the End of Native App Domination?

Huynh, Minh Q.; Ghimire, Prashant; Truong, Donny

doi:10.28945/3723

Cited by 9 publications

(2 citation statements)

References 4 publications

(12 reference statements)

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“…Although there is a growing body of research indicating that ASD children reveal deficits in the capability to recognise facial identities and expressions [57], the use of computer-based interventions (CBI) to improve social and emotional skills has proven to have some advantages for these individuals [58]. Facial Recognition innovation can facilitate facial processing, enabling ASD children to familiarise themselves with people they frequently interact with through their mobile devices.…”

Section: Image Recognition and Natural Language Processingmentioning

confidence: 99%

Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI

et al. 2021

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The new ‘normal’ defined during the COVID-19 pandemic has forced us to re-assess how people with special needs thrive in these unprecedented conditions, such as those with Autism Spectrum Disorder (ASD). These changing/challenging conditions have instigated us to revisit the usage of telehealth services to improve the quality of life for people with ASD. This study aims to identify mobile applications that suit the needs of such individuals. This work focuses on identifying features of a number of highly-rated mobile applications (apps) that are designed to assist people with ASD, specifically those features that use Artificial Intelligence (AI) technologies. In this study, 250 mobile apps have been retrieved using keywords such as autism, autism AI, and autistic. Among 250 apps, 46 were identified after filtering out irrelevant apps based on defined elimination criteria such as ASD common users, medical staff, and non-medically trained people interacting with people with ASD. In order to review common functionalities and features, 25 apps were downloaded and analysed based on eye tracking, facial expression analysis, use of 3D cartoons, haptic feedback, engaging interface, text-to-speech, use of Applied Behaviour Analysis therapy, Augmentative and Alternative Communication techniques, among others were also deconstructed. As a result, software developers and healthcare professionals can consider the identified features in designing future support tools for autistic people. This study hypothesises that by studying these current features, further recommendations of how existing applications for ASD people could be enhanced using AI for (1) progress tracking, (2) personalised content delivery, (3) automated reasoning, (4) image recognition, and (5) Natural Language Processing (NLP). This paper follows the PRISMA methodology, which involves a set of recommendations for reporting systematic reviews and meta-analyses.

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Section: Image Recognition and Natural Language Processingmentioning

confidence: 99%

Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI

et al. 2021

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“…The first stage is to determine the input from the existing building physics data in the form of room function, room size, planning factor, light intensity, light flux, armature efficiency to the electrical power used. Furthermore, at the process stage the data will be processed using building physics formulas [4]- [8], [28] which are packaged in rule-based expert systems [17]- [23], [29], [30] which are built on the ionic framework [24]- [26], [31]. The result of this process will be an application system software that can determine the lighting requirements in the room even up to the quantity of light points based on Android.…”

Section: Design Of Lighting Systemsmentioning

confidence: 99%

The calculation of point quantity for lighting based on android OS using ionic framework and rule based expert system

et al. 2021

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At this time, the Covid-19 pandemic has not been finished so all activities and expenditure of funds must be economical. On the each building will be required electricity resources as a means for lighting the room. Reduced activities carried out outside the room make people carry out activities indoors, this results in a significant increase in electricity consumption for lighting. PT. PLN as the provider in Indonesia of electricity services for the community experiences a shortage of electricity resources and most of the electricity resources are used for lighting purposes. Indonesia as a developing country has a very large of population growth, so it requires many buildings as a place to live or a place of business and other activities. This paper will be discussion how a smartphone with an Android operating system can be used to determining the lighting requirements using the Ionic Framework and Rule Based Expert Systems. Using this application system, so electricity to lighting can be optimal and not too wasteful, which in turn can save on the use of electrical energy resources and can save of the cost.

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Development of “DiabetesSutra” a mobile application for lifestyle management of Type 2 Diabetes in India

Tripathi,

Vikram,

Chaturvedi

et al. 2023

J Diabetes Metab Disord

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Hybrid App Approach: Could It Mark the End of Native App Domination?

Cited by 9 publications

References 4 publications

Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI

Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI

The calculation of point quantity for lighting based on android OS using ionic framework and rule based expert system

Development of “DiabetesSutra” a mobile application for lifestyle management of Type 2 Diabetes in India

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