Designed Intelligence Group (DI-group) Webminister 2017-02-10T10:00:19+00:00
The DI group is about an inspiring relation between DESIGN and TECHNOLOGY. The relation works in two directions: Technology inspires Design. Design needs technology, yet design-scaled technology. We as the members of the DI group believe that time is ready for a new design profession where new artifacts are designed which are formless, digital and intangible.
Systems, products and services will be based on large-scale connectivity and behave as Complex Adaptive Systems. Simulation will become an important tool. Design goals include various types of techno-social sustainability such as social sustainability and digital sustainability. Important design qualities are beauty, comfort and support of humanity values.
The strengths of the group are: to make technology meaningful to users, improve quality of life and wellbeing, to contribute to technology-based intelligent systems. Another strength of the group is the rich variation in the group members’ backgrounds (traditional technology, gaming, AI, psychology). The future strategy of the group is to develop Internet of Things, multi-agent systems, augmented reality, platforms, perhaps even social things and psychological computing.
The core chair “Designing Interactive Systems” addresses cultural computing. Important questions in the Connected Everyday cluster are: how to design value-based artifacts? How to design highly animated user interfaces? How to visualize large data base systems? Important questions in the Systemic Change cluster are: How to model culture? How to design games based on cultural value? How to model and simulate large scale systems?
The core chair “Intelligent System Design” addresses creative programming. Important demonstrators in the Connected Everyday cluster are built with connected objects, smart wearables, mathematical and parametric design of garments, healthy life style and neonatology. Important demonstrators in the Systemic Change cluster are about software architecture, data mining in medical data, parent-child bonding and therapy adherence.