Modeling People-AI Interaction: A Case Discussion with Using an Interaction Design Language

Abstract

Artificial Intelligent (AI) system development is the current challenge for all areas related to software development practice and research, including Human-Computer Interaction (HCI). Most AI systems’ research has been focused on the performance and accuracy of Machine Learning (ML) algorithms. Recently, new research questions concerning people in the loop of AI systems development and behavior have been emerging such as bias, reasoning, and explainability. In this new people and AI systems scenario, humans and computers collaborate, using their unique and powerful capabilities in a kind of symbiosis. In this new setting, AI systems are now real social actors as they are active players in the interaction with people. Defining and understanding the behavior of an AI system and its motivation for suggestions and reasoning are definitely a complex endeavor. HCI and Software Engineering communities, with their designers and developers, use models to represent, discuss and explore different domain scenarios in different stages of the software development process. In this paper, we present and discuss a scenario represented in an interaction modeling representation and how it can enable the representation and discussion of the people-AI symbiosis.