Automated Decision Making Systems in Smart Homes: A Study on User Engagement and Design

Automated decision making (ADM) systems are in the center of smart home technologies. With the recent advancements within the fields of artificial intelligence (AI) and internet of things (IoT), ADM systems are becoming increasingly smart and arguably more comfortable and accurate in their automated decision making. However, there are still questions regarding the design of human-machine collaboration in the home. How exactly do users engage with smart technologies in their homes? How do they maintain control over their systems when something does not work as expected, and how can we design for co-performance between users and AI? Our research investigates such questions in the area of user engagement in automated decision making (ADM) systems in smart homes. In this paper, we outline first findings and perspectives from an ongoing literature study on this topic, which we intend to investigate further in our future work.