Experience Design Across the Platform

Experience Design teams don’t just put a couple of nice new UI levels on top of applications. They design the application experience top to bottom for simplicity, mobility, and extensibility.  Today, customers move across devices. Depending on the task that they need to do: a simple task that they can complete on their wearable or phone, a … Read more

Mental Health Apps Artificial Intelligence Experience Design

Today there are apps that allow you to track your mental wellbeing by logging your moods and by taking standardized mental health assessments to understand your current risk of depression and anxiety. Note: If you have concerns about your mental health, consult a clinician. If you are distress or struggling with your feelings, please call … Read more

Neuroscience-Informed Habit-Forming Artificial Intelligence Experience Design

Neuroscience-informed habit-forming artificial intelligence (AI) in experience design (XD) refers to leveraging principles from neuroscience to create AI-driven experiences that encourage and sustain desirable habits. Here’s how it can be approached: Understanding Neurological Mechanisms Neuroscience provides insights into how habits are formed and maintained in the brain. Concepts like neural pathways, reinforcement, and reward systems … Read more

Augmented Reality Artificial Intelligence Experience Design

Experience design (XD) plays a crucial role in leveraging the capabilities of artificial intelligence (AI) and augmented reality (AR) to create engaging, intuitive, and human-centered experiences. Here’s how XD principles intersect with AR and AI: Contextual Awareness AI can help AR applications understand and adapt to the context of the person wearing the headset. By analyzing … Read more

Virtual Reality Artificial Intelligence Experience Design

Designing experiences for virtual reality (VR) artificial intelligence (AI) involves considering several key factors to create immersive, intuitive, and engaging interactions. Here’s a breakdown of important aspects to consider: Understanding Needs and Goals Start by understanding the needs, goals, and preferences of your target audience. What are they trying to accomplish in the VR environment? … Read more

Deliver the Right Message at the Right Moment with Artificial Intelligence Experience Design

message in a bottle on the beach shore

Designing artificial intelligence experiences (AIXD) to deliver the right content at the right moment requires a thoughtful approach that combines research, data analysis, and smart algorithmic decisions. Here’s a guide on how to achieve this: Research and Understanding Content Personalization Context Awareness Real-time Data Analysis Dynamic Content Delivery Feedback Mechanisms Transparency and Control Ethical Considerations … Read more

Wearable Artificial Intelligence Experience Design

wearables

Designing the wearable artificial intelligence (AI) experience involves creating interfaces and interactions that seamlessly integrate with the wearer’s daily life. Wearables present a unique set of challenges when it comes to design. The devices have limitations (smaller screen space, less information density, limited battery life) and present different use cases (people using wearables are regularly … Read more

The Return on Investment of Artificial Intelligence

The return on investment of artificial intelligence is multifaceted and extends beyond mere financial metrics. While the cost efficiency and operational optimizations are tangible and quantifiable benefits, the enhanced decision-making, personalized customer experiences, revenue growth, and risk mitigation contribute to the holistic value proposition of AI adoption.  Innovation that Drives Revenue Growth and Market Expansion … Read more

Artificial Intelligence Experience Design Discovery Process

The Artificial Intelligence (AI) experience design (XD) discovery process involves understanding and defining your target customer’s interaction with your AI systems to create meaningful and effective experiences. Here’s a general guide to the discovery process for AI XD: 1. Define Objectives and Goals:    – Clearly outline the objectives of the AI system and the goals … Read more

AI UX and the Power of the Human in the Loop

One crucial aspect of designing artificial intelligence (AI) generated experiences is the integration of the “Human in the Loop”.  This symbiotic relationship between AI and human input is redefining the way we design, develop, and interact with intelligent systems. What is Human in the Loop? Human in the Loop (HITL) is understanding the irreplaceable role of … Read more

Behavioral Economics

Behavioral Economics

“Better decisions make a better world. However, improving decisions is a messy and difficult thing.” – The Decision Lab There is a common misconception that most people have well-defined preferences and make well-informed, self-interested decisions based on those preferences. Behavioral economics looks at the differences between what people “should” do and what they actually do … Read more

It’s Really a Riskiest Assumption Test, Not a Minimal Viable Product

“There is a flaw at the heart of the term Minimum Viable Product: it’s not a product. It’s a way of testing whether you’ve found a problem worth solving. A way to reduce risk and quickly test your biggest assumption. Instead of building an MVP identify your Riskiest Assumption and Test it.” – Rik Higham, … Read more