BrainstorML: Exploring the applications of Artificial Intelligence in Interaction Design

Artificial Intelligence (AI) has impacted various aspects of our lives and provided ubiquitous and efficient information using algorithm-based products and services (through calculation, recognition, classification of data). Although it has been widely applied in everyday interactions, unlike engineers, designers can rarely integrate it into their design

processes, primarily due to technical barriers, the lack of knowledge in computer science and statistics. Therefore, this research examines different AI-powered platforms and Machine Learning algorithms to identify the current use of AI in Design or by designers. This research uses case studies and interviews to explore the opportunities in the Interaction Design process that avail from Machine Learning integration. It proposes a new application obtained

from the research to enhance the affinity mapping process to allow for first pattern discovery in the ideas collection and enable the labeling of those groups. I hypothesize that the applications of AI and ML can assist designers throughout their processes and provide the first step towards the

generation of creative concepts. They could automate repetitive and tedious tasks that are time-consuming, like ethnographic research transcription, that do not require creative aptitudes. And potentially have computational assistance to augment their vision with diverse

interactions, allowing for inventiveness to ignite new thinking, frameworks, tools, systems, and experiences.