We distributed fourteen controllable street lamps in a city square and recorded three comparative and one 'usual' condition, operating the public lighting as if it were an interactive stage. First tested was adaptive lighting that responded to people's occupancy patterns. Second was a mobile phone application that allowed people to customise color and responsive behaviours in the overhead lighting system. Third was ambient lighting, responding to wind velocity. The study extends the discussion on multiuser interaction design in public lighting by asking: how can interactions using mobile phones, thermal tracking and wind inputs afford new social behaviors, without disturbing the usual public functions of street lighting? This research lays foundational work on the affordances of mobile phones for engagement and interaction with public lighting. The study indicates the use of personal phones as a tool for interaction in this setting has potential to provide a stronger ownership to urban place.

This paper presents a full-scale experiment investigating the use of human motion intensities as input for interactive illumination of a town square in the city of Aalborg in Denmark. As illuminators sixteen 3.5 meter high RGB LED lamps were used. The activity on the square was monitored by three thermal cameras and analysed by computer vision software from which motion intensity maps and peoples trajectories were estimated and used as input to control the interactive illumination. The paper introduces a 2-layered interactive light strategy addressing ambient and effect illumination criteria totally four light scenarios were designed and tested. The result shows that in general people immersed in the street lighting did not notice that the light changed according to their presence or actions, but people watching from the edge of the square noticed the interaction between the illumination and the immersed persons. The experiment also demonstrated that interactive can give significant power savings. In the current experiment there was a difference of 92% between the most and less energy consuming light scenario.

The focus is to study people's willingness to interact, and their reaction when a robot enters their daily environment. The robot autonomously detects and follows people, while keeping a safe distance. The conclusion was that people were positive towards robots in their daily life. The experiments gave knowledge about using robots in open-ended environments, and knowledge about people's reactions and expectations to robots in urban environments.