2024 | Professional

MUSE Design Awards Gold Winner

Coevolve: Human-Robot Interaction Design Experiments

Entrant Company

Card79

Category

Conceptual Design - Futuristic

Client's Name

Card79

Country / Region

United States

The Coevolve Design Experiments by Card79 is a series of speculative case studies exploring the future of Human-Machine interaction with AI. As a design studio specializing in human-centered design for the future, we aim to spark conversations about advanced technology seamlessly integrating with and addressing complex human needs.



We meticulously developed concepts that dive into the potentialities of AI and robotics, imagining scenarios where these technologies not only coexist with humans but also enhance the quality of life in profound ways.



Case Studies:



Personalized Assistance in Healthcare and Senior Living: This explores how AI and robotics can provide tailored support to the elderly, promoting independence and dignity. It envisions a future where personalized care robots assist with daily activities, monitor health, and offer companionship, ultimately transforming senior living environments.

Human-Robot Collaboration in Industrial Settings: We reimagine productivity and job satisfaction in manufacturing by designing collaborative teams of robots and humans. This case study illustrates how robots can handle repetitive and dangerous tasks, allowing humans to focus on creative and strategic aspects, leading to a more efficient and satisfying workplace.

Maintenance Robots for Urban Community Design: Imagine a robot that not only maintains aging buildings but also enhances living spaces. By integrating AI, this robot adapts to the needs of the community, ensuring both preservation and improvement of urban environments, ultimately contributing to a higher quality of life.



At Card79, we believe that design has the power to shape the future. The Coevolve Design Experiments represent a bold step into the future of AI and robotics. By presenting these conceptual designs, we aim to provoke thought, inspire innovation, and foster a dialogue on the potential of Human-Machine interaction.



The Coevolve case studies can be explored in detail at coevolution.card79.com.

Credits

Afshin Mehin
Levi Joo
Tiffany Chu
Huating Yu
Aleks Tsatskin
Andrés Belisario
Oliver Sy Reyes
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