No-code platforms are disrupting how we use game technology to solve pressing challenges.
This session tracks the rise of platforms that combine simple visual app building interfaces with powerful gamification, AR, and VR capabilities, allowing anyone without coding knowledge to become a serious games creator. This democratization not only amplifies the generation of user data, but when paired with deep learning technology, turns these platforms into intelligent, predictive systems with the potential to diagnose learning or health issues.
The Rise of No-Code Platforms and the Democratization of Serious Games - Leon Young, Founder/CEO, Cogniss & Anna Goldfeder
1. The Rise of No-Code Platforms
and the Democratization of
Serious Game Solutions
for Education, Health and Behavior Change
Leon Young & Anna Goldfeder
C O G N I S S
2.
3. Most health & education apps
fall short of expectations
Lack evidence
Low engagement
Lack integration
Non-personalized
4. Cost Complexity
Average cost:
US$37,913 to
US$171,450
Average time:
126 days or more
Needs highly
specialized expertise in
multiple areas.
Time
They’re difficult to build
16. Custom development
● Developer dependent
● Tunnel effect
● Complex product lifecycle
● Slow to develop
● High costs, high risk
● Expensive to maintain
● Narrow focus
No-code platforms
● Experts in control
● Iterative prototypes
● Simplified product lifecycle
● Speedy time-to-market
● Low costs, reduced risk
● Easy self-maintenance
● Scalable across any purpose
The case for no-code platforms
17. Cogniss is a platform that allows anyone to create
high quality, feature-rich games, apps and simulations
for
education, health and behavior change.
18. Cogniss productizes sophisticated
app design and development.
INSIGHTS
RELATIONSHIP
MANAGEMENT
DATA REPOSITORY & SOCIAL NETWORK
COGNISSION
ENGINE
ASSESSMENT
ENGINE
SURVEY
ENGINE
BEHAVIOR
ENGINE
2D & 3D Games, Surveys, AR, VR, eLearning, AssessmentINTERACTIVE TEMPLATES
USER INTERFACE AND USER EXPERIENCE
21. Cogniss Brain Age
Cogniss, Soho Flordis &
Swinburne University
My Platinum Power
MPP
GI Tracker
Soho Flordis
Gambling Self-Help
Vic Responsible
Gambling Foundation
100 Day Challenge
Vic Responsible
Gambling Foundation
You have a vision. You understand the potential for technology to provide better learning experiences, more realistic and effective training, to change mindsets and establish positive behaviours.
Imagine: A health professional or researcher comes up with a brilliant idea for an app that would help solve an important health issue (e.g. an app that tests for and detects mild cognitive impairment, or an app to help people overcome problem gambling.)
Given the exciting convergence of new technologies - mobile, wearables, big data, machine learning - we should be seeing an abundance of sophisticated, clinically sound health apps revolutionizing the way we personalize patient interactions, optimize health or behavioral outcomes, and enhance human decision-making generally.
But you are also aware of the failures. Research shows that health apps aren’t living up to expectations. X%.... The reasons are many, and often include:
Lack evidence of efficacy
Low user engagement
Non-personalized - not built to adapt intelligently to users’ real-world lives
Lack integration with other app or user health data
… with sophisticated apps costing much more.
People who can afford to publish health apps often don’t have the right subject matter expertise. And the people with the right expertise are faced with too many barriers; in particular, cost, time and the complexity involved.
Get
Our experience as 2and2
There’s another option open to our health professional: using a low- or no-code platform to bring their idea to life.
What’s a low- or no-code platform?
It allows people to create apps using a visual point-and-click/drag-and-drop interface.
It offers lots of pre-built functionalities, saving you from having to build them from scratch.
This trend has already happened in other sectors, is now coming to health.
Iterative prototypes: Able to respond quickly to new research and technological developments. Build applications in days and weeks, not months or years. Health professionals can prototype, design, implement, deploy, run, install and publish to marketplace their applications, all from a web browser. Access tech support
Neuropsyche. Behaviour meets brain function. Low- and no-code platforms provide a direct, cost-effective means of creating games and apps that provide training or accomplish any given set of preventive, therapeutic, assessment, research, and educational objectives.
Bring it back to example in the beginning - these are apps actually being made with a low/no code platform like Cogniss.
Ideate, create, iterate, publish
connect
This is what we’ve been developing at Cogniss. Cogniss is a no-code platform built specifically so that health experts and researchers can build high quality health apps at a low cost.
Apps are created using a simple, low-cost point-and-click interface. No coding required.
All apps benefit from an integrated, pre-built feature set designed to deliver outcomes and grounded in applied neuroscience.
Flexible distribution options ensure apps reach the right audience.
Mention other notable health apps - make the point that apps like these can easily be made using a no-code platform like Cogniss.
Mental health (Headspace)
Behavioural apps - wellness (Happify)
Tracking and social apps (Totally Pregnant)
Informative & practical apps (red cross first aid app)
Mention other notable health apps - make the point that apps like these can easily be made using a no-code platform like Cogniss.
Mental health (Headspace)
Behavioural apps - wellness (Happify)
Tracking and social apps (Totally Pregnant)
Informative & practical apps (red cross first aid app)
The big picture: Intelligent, predictive analytics. The emergence of low- and no-code platforms is more than just about making serious game technology accessible to everyone. It’s about applying deep learning technology to a growing ecosystem of in-game user interactions and health datasets, eventually allowing serious game platforms to evolve into intelligent, predictive systems with the potential to diagnose all manner of health and cognitive issues.
We are living in a time where the convergence of low- and no-code platforms, big data capabilities, and deep learning technology will equip the health sector with a new level of intelligence that can, for instance, tailor interactions with each patient, help achieve optimal health or behavioral outcomes, test the efficacy of particular interventions, and enhance human decision-making generally.
The ability to diagnose learning issues, health conditions and disorders before symptoms become noticeable.
Increased level of scrutiny eg. GDPR
Standards - GDPR, COPPA compliance, FDA etc.
GDPR has set the benchmark for best practice
Increasing awareness around data collection - we need to be better at communicating why the data is being collected and the benefit to the user
Everyone has an idea - we want to see them come to life