Interaction and Interface Design for a Human-AI Collaboration Paradigm.

Progress made in artificial intelligence and machine learning is changing the way designers interact with computers. Machines are now able to transform billions of data points into insights, predictions, and knowledge without the need for traditional programming. This information- and knowledge-abundant data enables computers to be trained to act as intelligent agents and is changing the relationship we have with the computer. These new technologies open up possibilities for reinventing user interface by applying interface and interaction design principles adapted to artificial intelligence and machine learning skills and to collaborative theories.

This research investigates the design of interfaces that utilize artificial intelligence and machine learning capabilities to help designers create design artifacts involving information-abundant research and dissemination. A framework, which integrates several Human-Computer Collaboration (HCC) approaches with artificial intelligence and machine learning will underpin the design of these interfaces.

These interfaces visually translate opportunities for the development of a human-AI collaboration (HAC) paradigm, informed by theories of HCC but also design thinking. In this HAC paradigm, the human and the computer collaborate and contribute to achieving shared goals while considering the strengths and weaknesses of both partners. My research methods are based around this adapted HCC framework, mapping out a range of issues and themes using user journey maps, scenarios, and storyboards, as well as the generation of visual studies and rapid prototyping.

Focusing this research specifically on the impact of artificial intelligence and machine learning upon collaborative activity, via an interface, forefronts the impact of big data upon the design process. To propose meaningful, inclusive design solutions, designers must be able to access and analyze expert data and knowledge. Machine learning techniques can enable designers to access this data and knowledge in real time and thus influence their design decisions. Ultimately, this research presents opportunities for designers to define a new relationship enabled by artificial intelligence.

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