An argumentative approach to smart home office ambient lighting

Abstract

Numerous studies have linked lighting conditions to how well humans have performed their daily activities. We have designed a system for the purpose of increasing productivity by tailoring the ambient lighting for various tasks, but which at the same time can gain the trust of its users by exposing the way it “thinks” through computational argumentation. With the recent emergence of smart bulbs, we now have the means for creating a software system that is able to understand which task is performed and adapt to it accordingly. While the key role of this system is to make activities more pleasurable and easier to perform, it can also predict future activities and make suitable recommendations.