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      Exploring a Hybrid Control Approach for enhanced User Experience of Interactive Lighting

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      27th International BCS Human Computer Interaction Conference (HCI 2013) (HCI)

      Human Computer Interaction Conference (HCI 2013)

      9 - 13 September 2013

      Lighting Control, User Experience, Hybrid Control, User-System Interaction, Machine Learning

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            Abstract

            Modern 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.

            Content

            Author and article information

            Contributors
            Conference
            September 2013
            September 2013
            : 1-9
            Affiliations
            [0001]Eindhoven University of Technology, Dept. of Industrial Design

            Postbus 513, 5600MB, Eindhoven, the Netherlands
            Article
            10.14236/ewic/HCI2013.16
            33169a2f-0c66-4dd4-b79f-ac33f9e0a419
            © Serge Offermans et al. Published by BCS Learning and Development Ltd. 27th International BCS Human Computer Interaction Conference (HCI 2013), Brunel University, London, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            27th International BCS Human Computer Interaction Conference (HCI 2013)
            HCI
            27
            Brunel University, London, UK
            9 - 13 September 2013
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction Conference (HCI 2013)
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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