Skip links
CONTACT US

Partnering in Augmented and Mixed Reality: Guidelines

Jump To Section

  • Ignacio Segovia
  • 5 mins
Augmented and Mixed Reality

Apple Vision Pro: Key Augmented and Mixed Reality Partnership Considerations

Today Apple is introducing Apple Vision Pro, with a brand new operating system, interaction paradigm, and whole new host of developer tooling in the form of new and awesome Xcode capabilities.

We’re on the brink of a computer paradigm shift and a boom in spatial computing, augmented and mixed reality. As a practitioner in the space, with personal and professional research at Altimetrik, I urge you to approach this exciting new technological frontier with informed caution and discernment when picking partners to develop your AR and MR experiences.

Here are some key things to watch for when considering your next partner when developing augmented and mixed reality solutions:

Track Record

When assessing a partner to design and develop apps for Vision Pro and similar AR systems, check their experience and case studies building omni-channel and mobile solutions. Look for examples of simple AR features within iOS or iPadOS apps.

Have they developed complex mobile and tablet apps? do they have proven experience in frameworks such as ARKit, Metal, SceneKit, Auto layout, and other Apple frameworks.

Those worth your time should be willing to provide a master class on any of these technologies. Stay away from those not willing to share case studies, common architecture patterns or past implementation journeys.

Test for deep native expertise

Comprehensive eco-system expertise and an end-to-end human centric design approach with in-house UI/UX capabilities – AR apps rely on transparent, yet refined UX even more than any other channel as they are so intimately linked to the user’s body and depend on a delicate balance between the virtual and the real world. Put another way, the best AR experience is one that disappears when using it and is, by definition, less digital, more human.

Focus on feasible experiences
SDKs and APIs for new platforms can be a bit restrictive for good reason. It is best to concentrate on present possibilities like augmented reality based navigation, retail experiences, 3D product modeling, virtual try-on, information overlays, or context aware avatars, to name a few.

Consideration for User Comfort & Accessibility
Successful AR and MR apps will offer multi-sensory respectful interfaces. Good experts consider the complete user experience, including comfort during extended use and accessibility for all users.

Privacy & Security
AR/MR requires handling sensitive user data, including advanced biometrics such as iris scanning. Look for those demonstrating solid understanding of privacy and security management and with expertise using the platforms’ security SDKs and frameworks to their full extent.

Realistic ROI Expectations

Experts who promise the moon right out of the gate may not be considering the substantial investment needed a digital foundations up to this point. Concentrate on business outcomes using existing apps and offerings, just in AR.

By carefully considering these factors and selecting a partner that aligns with your goals and requirements, you can ensure a successful and fruitful journey into the world of augmented and mixed reality. Embrace the exciting possibilities of #AppleVisionPro while staying informed and discerning in your decision-making process.

#augmentedreality #mixedreality #apple #innovation #digitalbusiness #whatsnext #technology

Picture of Ignacio Segovia

Ignacio Segovia

Latest Reads

Subscribe

Suggested Reading

Master AWS Security: Threat Detection with Amazon GuardDuty

Master AWS Security: Threat Detection with Amazon GuardDuty

CloudInfosec
Enhancing Retail Planning: Streamlining Transfer Engine Efficiency

Enhancing Retail Planning: Streamlining Transfer Engine Efficiency

Digital BusinessPlatform Modernization
Empowering Retail Excellence with AI-Powered Transformation

Empowering Retail Excellence with AI-Powered Transformation

AnalyticsPlatform Modernization

Ready to Unlock Yours Enterprise's Full Potential?

Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs.Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify.
Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety.Supplement trial data with real-world insights for drug effectiveness and safety.
Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies.Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies.
Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing.Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing.
Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development.Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development
Remote and Decentralized Trials: Embrace virtual trials for broader patient participation.Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits
Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention.Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention
Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals.Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals
Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment.Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment
Data Standardization and Interoperability: Ensure seamless data exchange among research sites.Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis
Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis.Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process
R&D Investments: Improve the drug or expand indicationsUtilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes