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Exploring the role of autonomous system behavior in lighting control

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TLDR
This position paper explores the unknown dimensions that can be used to describe control from full-user to full-system control and believes a hybrid between the two will be most desirable.
Abstract
Modern distributed lighting systems require advanced control systems because of the large amount of light sources and manipulable parameters. In this position paper we explore the unknown dimensions that can be used to describe control from full-user to full-system control. We believe a hybrid between the two will be most desirable. Combined with explicit user interaction, autonomous system behavior will create intelligent systems, able to adapt to users and contexts. This provides interesting opportunities for improved user experience as well as functional added value, for instance in energy saving or easy commissioning of light infrastructure. Based on different types of interactions, different levels of interaction-initiative and different interaction layers, a useful mapping of such hybrid control can be made. In our lighting living labs, we have implemented different controls in order to evaluate them on the basis of user experience.

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Citations
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BookDOI

Peripheral Interaction: Challenges and Opportunities for HCI in the Periphery of Attention

TL;DR: This theory examines how interactive systems can be developed in such a way to allow people to seamlessly interact with their computer devices, but only focus on them at relevant times, building on the way in which people effortlessly divide their attention over several everyday activities in day to day life.
Book ChapterDOI

Peripheral Interaction with Light

TL;DR: In this article, the authors present three categories of interactive lighting with many concrete examples: interacting with light at the center of our attention, interaction with light outside our attentional field, and interaction with lights in the periphery of attention.
Proceedings ArticleDOI

Spatial Control Framework for Interactive Lighting

TL;DR: A multi-tiered software framework which enables the creation of new kind of user interfaces for controlling lighting and construction of intelligent solutions which automatically control lights is presented.

Interacting with light

TL;DR: From a combination of the technical parameters, the intensities of the individual LED channels in the lamp are abstracted to a unified colour space; the CIExyY colour space (“CIE 1931 color space”, 2014).
Book ChapterDOI

Interacting with Light

TL;DR: It is proposed that there are various potential approaches to using implicit and explicit control mechanisms for embedded lighting systems, and two examples of experimental, novel interaction methods with light are used.
References
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Journal ArticleDOI

A model for types and levels of human interaction with automation

TL;DR: A model for types and levels of automation is outlined that can be applied to four broad classes of functions: 1) information acquisition; 2) information analysis; 3) decision and action selection; and 4) action implementation.
Proceedings ArticleDOI

A design approach to socially adaptive lighting environments

TL;DR: It is argued that the effect of light on the social relations between people needs to be considered in order to make adaptive lighting environments viable.

Dynamic lighting for well-being in work places: Addressing the visual, emotional and biological aspects of lighting design.

Martine Knoop
TL;DR: In this article, the implementation of current research results into practical applications is discussed, and opportunities and benefits for lighting designers to apply this research by suggesting methods of application in lighting solutions for various work places.
Proceedings ArticleDOI

Breakout 404: A smart space implementation for lighting services in the office domain

TL;DR: This paper introduces a pilot smart space implementation on top of a Wireless Sensor and Actuator Network (WSAN) infrastructure that is specifically intended to investigate machine learning and human-system interaction.