1,225 research outputs found
Bright environments vision of the Intelligent Lighting Institute (ILI)
No full textThe Bright Environments research program of the Eindhoven University of Technology Intelligent Lighting Institute aims to find new methods of intelligent lighting control and human interaction. We present a summary of the institute’s work on this research field and the research vision of the Bright Environments program as well as an overview of the related research projects.
Keywords: Intelligent lighting; Layered light control; Smart spaces; User interaction for lightin
Energy-efficient street lighting through embedded adaptive intelligence
No full textStreetlights place a heavy demand on electricity usage, providing significant financial and environmental burdens. Consequently, initiatives to reduce energy consumption have been proposed, usually by turning off or dimming the streetlight. In this paper, we propose an adaptive lighting scheme based on traffic sensing, which adaptively adjusts streetlight brightness based on current traffic conditions. The algorithm has been validated through simulation using the SUMO and OMNeT++ tools and, for two different geographical locations, the energy consumption evaluated with respect to traffic speed and volume. The simulation results presented indicate that the proposed lighting scheme can consume up to 30% less energy when compared to the state-of-the-art
Exploring a hybrid control approach for enhanced user experience of interactive lighting
No full textModern lighting systems allow for light settings that are more in tune with users’ activities, by going beyond mere functional illumination. These systems have a large amount of controllable parameters such as intensity and colour of individual light sources. Using an autonomous control system is therefore an attractive option, especially since such control systems may also lead to reduced energy consumption. From a user experience point of view however, there are certain drawbacks to this automation. This paper proposes a hybrid approach towards lighting control to create a dynamic balance between user control and system automation. Such a hybrid system has the ability to autonomously set the lighting according to its knowledge about the current context, while offering users the possibility to manually adapt the light settings. These manual adaptations can in turn be used by the system to learn about user preferences in various situations, and thereby to improve its future lighting suggestions. To explore and evaluate this approach, a smart lighting system was developed as an initial implementation, and installed in a real office environment. The system employs a machine learning algorithm to achieve intelligent behaviour and provides users with an interface to control the lights and give feedback to the system. In a six-week study, the user experience of this initial implementation is evaluated. The results provide an insight in design considerations when adopting this approach for the design of smart lighting control systems. The considerations regard the type of machine learning, the degrees of freedom offered to the user, the insight in the system’s decision making process, and the user interface
A Practical Device for Measuring the Luminance Distribution
No full textVarious applications in building lighting such as automated daylight systems, dynamic lighting control systems, lighting simulations, and glare analyzes can be optimized using information on the actual luminance distributionsof the surroundings. Currently, commercially available luminance distribution measurement devices are often not suitable for these kind of applications or simply too expensive for broad application. This paper describes the development of a practical and autonomous luminance distribution measurement device based on a credit card-sized single-board computer and a camera system. The luminance distribution was determined by capturing High Dynamic Range images and translating the RGB information to the CIE XYZ color space. The High Dynamic Range technology was essential to accurately capture the data needed to calculate the luminance distribution because it allows to capture luminance ranges occurring in real scenarios. The measurement results were represented in accordance with established methods in the field of daylighting. Measurements showed that the accuracy of the luminance distribution measurement device ranged from 5% to 20% (worst case) which was deemed acceptable for practical measurements and broad applications in the building realm
Intelligent lighting design assistant
No full textThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.Includes bibliographical references (leaves 96-97).iPlot is an intelligent lighting design assistant. Given a performance space and a set of lighting goals, each specifying an area to be lit and a direction, iPlot explores the space of possible light arrangements in search of solutions that satisfy the goals. It employs a generate, test, and repair strategy in which solutions are generated and tested to see if they satisfy a goal. If a goal failed to be satisfied iPlot uses the explanation of this failure to propose a number of repair suggestions that either modify the solutions or relax the set of goals to form a new goal set. It then carries out these suggestions to create new solutions viewable by the designer as a light plot, a two-dimensional top down view of the performance space, lighting pipes, and lights all drawn to scale. This thesis describes iPlot and an experiment that involved asking a lighting designer to evaluate the light plots that iPlot produced.by Andrew J. Perelson.M.Eng
User interaction with everyday lighting systems
No full textNew lighting technologies create new opportunities that may contribute to people’s experience of light. These opportunities are a result of the increased variety and freedom in terms of color, form factor and connectivity of the lights. To allow people to fully benefit from the potential of such novel lighting systems, there is a need for a new user interaction paradigm. To develop this paradigm we have to better understand the aspects that play a part in the interaction with lighting, paying special attention to people’s motivation for interaction. This paper reports on a context-mapping study that was performed to gain insight in these aspects. As result, we present a set of seven themes that regard the interaction with lighting in the current situation and in the future. These themes provide an overview of the relevant aspects in this domain, and contain considerations and opportunities for the design of new interfaces for novel lighting systems. We conclude that people have different levels of lighting-needs that are highly dependent on context, and that also require control at different levels. The context and lighting needs have a large influence on the extent to which people are motivated to adjust their lighting. Moreover, the lighting interface itself has a large effect on this motivation, mainly influenced by the degrees of freedom, the control location and availability, the degree of automation, and general interaction qualities
The impact of the internet of lighting on the office lighting value network
No full textLighting systems in offices are becoming an infrastructure to connect people, devices, and systems to each other and to the Internet, creating an Internet of Lighting (IoL). This can bring advantages to stakeholders involved, and is expected to have a disruptive impact on the value chain. This study investigates the impact of IoL on the European office lighting value chain. A qualitative stakeholder study indicates four perspectives with corresponding drivers of change: IP to the end node, standardisation, sharing data, and light as a service. Potential impacts on value have been formulated for each driver, and are operationalised towards stakeholders using the layered value network model. The validity of the model is shown by populating it with the European office lighting value chain. The work concludes with insights in the impact of IoL on stakeholders, and recommendations about the user of the model for synthesis of new stakeholder networks
Evaluating interface characteristics for shared lighting systems in the office environment
No full textIoT developments make shared systems, such as lighting systems, increasingly connected. From an interaction perspective, this offers opportunities for personal control. Especially for lighting, the benefits of personal control have been underlined by research. However, how to design interfaces that realise these potential benefits is much less investigated. This paper presents a long-term qualitative study in which three interfaces for a shared lighting system are evaluated by 17 people working in an open plan office. The interfaces are designed to vary on a number of characteristics, including the distribution over space, interaction modality, and sequence of interaction. Based on the results, we provide new insights in the impact of interface characteristics on lighting use and experience. We find, i.a., that having an interface on a personal multi-purpose device or on a central interface solely dedicated to lighting, influences whether people make individual or more collective lighting adjustments and decisions
Bright environments vision of the Intelligent Lighting Institute (ILI)
No full textThe Bright Environments research program of the Eindhoven University of Technology Intelligent Lighting Institute aims to find new methods of intelligent lighting control and human interaction. We present a summary of the institute’s work on this research field and the research vision of the Bright Environments program as well as an overview of the related research projects. Keywords: Intelligent lighting; Layered light control; Smart spaces; User interaction for lightin
Design considerations for interactive office lighting interface characteristics, shared and hybrid control
No full textThe inclusion of IoT in office lighting allows people to have personal lighting control at their workplace. To design lighting control interfaces that fit people’s everyday living, we need a better understanding of how people experience lighting interaction in the real world. Still, lighting control is often explored in controlled settings. This work presents a qualitative field study concerning the user experience of two control interfaces for a state-of-the-art lighting system of 400+ luminaires in a real-life office. In ten weeks, 43 people interacted 3937 times. The findings illustrate the effects of using a smartphone for lighting control, how people experience lighting control in shared situations, and issues with automatic system behavior. We define design considerations for interface characteristics, shared control, and hybrid control. The work contributes to making the potential benefits of interactive office lighting a reality
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