Experiments

Emotion-Driven Technology?

These experiments explore integrating emotional intelligence into personal technology, examining how adaptive systems can transform our interaction with devices. By designing interfaces and ecosystems that respond to user emotions and environmental contexts, the experiments aim to bridge the gap between technology as a tool and as a personalized co-pilot in daily life.


• Investigate emotion-responsive interfaces.

• Explore interoperability across multi-device ecosystems.

• Examine how adaptive design can foster a deeper connection between humans and technology.

Experiment 1: AI Wearables and Environmental Interaction


This experiment investigates how AI wearables influence user interactions in different environments. By examining devices like the Meta Ray-Ban smart glasses, Humane AI Pin, and Rabbit R1, the study aims to uncover the potential of hands-free, context-aware technologies to enhance presence and engagement.


Devices Explored:


1. Meta Ray-Ban Smart Glasses: Hands-free camera and audio features for seamless memory capture.

2. Humane AI Pin: Projection display and gesture controls for contextual interactions.

3. Rabbit R1: Voice-based AI assistance with limited connectivity.


Key findings:


• Enhanced presence in natural settings.

• Challenges in high-stimulation environments.

• Importance of environmental adaptability.

Experiment 2: Adaptive Emotion-Based Interfaces


Exploring the development of an emotion-responsive interface that adapts across devices and contexts. It examines how emotion detection can inform UI design to create personalized, intuitive digital experiences.


Versions Explored:


1. Adaptive Ecosystem Interface: Multi-device integration with contextual suggestions and centralized control.

2. Emotion-Based Operating System Prototype: Emotion-sensitive UI elements with real-time adaptation to user mood and environment.


Prototype Features:


• Emotion-responsive UI that shifts color and content based on mood.

• Device-aware functionality for phones, tablets, and laptops.

• Contextual content suggestions tailored to user activity.

• Simulated system monitoring for resource management.

Next Steps / Conclusion

Key Conclusions


1. Emotion-Responsive Design:

Both experiments demonstrated the potential of emotionally intelligent systems to enhance user experiences by adapting to human needs and contexts.


2. Device Ecosystems:

The importance of interoperability and seamless transitions across devices emerged as a critical design challenge.


3. Human-Centered Technology:

Prioritizing user empowerment and reducing cognitive load through context-aware tools is a pivotal direction for future exploration.


Next Steps


• Expand Testing: Conduct broader user studies across diverse demographics and environments.


• Prototype Refinements: Enhance device compatibility and explore new adaptive features.


• Integration with Primary Devices: Investigate how these systems can complement existing tools like smartphones and smartwatches.