A design approach to socially adaptive lighting environments

ABSTRACT

Historically light has been a catalyst for social life to emerge. In recent years of lighting research the social effect of light has been underexposed. The environments we occupy on a daily basis are used for a wider variety of activities. Consequently, lighting conditions need to become sensitive to adapt to the variety of activities being performed. We argue that the effect of light on the social relations between people needs to be considered in order to make adaptive lighting environments viable. To design a socially adaptive lighting environment an approach needs to be used that is iterative, experiential and involves multiple users in an actual context. The design process is described in three stages (Interactive Sketching, a Design Experiment and Socially Situated Adaptive Experience); for each stage the aims, the setup, results and lessons learned are provided. In this process an experimental environment is used, named Incubation environment, which is set up as a dining environment and equipped with computer controllable lighting armatures. In the final design stage the Socially Situated Adaptive Experience technique is described and is found a suitable technique to design socially adaptive lighting environments.

References

1. Aarts, E., Marzano, S. 2003. The new everyday: views on ambient intelligence. Uitgeverij 010, Rotterdam.
2. Antonakaki T. 2006. Lighting within the social dimension of space: A case study at the Royal Festival Hall, London. In: Hölscher, C., Dalton, R. C., Turner, A. (Eds.). Proceedings of the Workshop held in Bremen.
3. ArduinoBoardDuemilanove, Retrieved May 3, 2011, from: http://arduino.cc/en/Main/ArduinoBoardDuemilanove
4. Barkmann, C., Wessolowski, N., Schulte-Markwort, M. 2010. Wirksamkeit von dynamischem Licht in Hamburger Schulklassen. Retrieved January 3, from http://www.uke.de/kliniken/kinderpsychosomatik/downloads/klinik-kinder-jugendpsychosomatik/ErgebnisberichtDL_7.pdf
5. Bitner, M. J. 1992. Servicescapes: The impact of psychical surroundings on customers and employees. Journal of Marketing, 56 (2), 57--70.
6. Bowers, B. 1998. Lengthening the Day: A History of Lighting Technology. Oxford: Oxford University Press.
7. De Kort, Y. A. W., & Smolders, K. C. H. J. 2010. Effects of Dynamic Lighting on Office Workers: First-year Results of a Longitudinal Field Study. Lighting Research & Technology, 42, 345--360.
8. Gifford, R. 1988. Light, Décor, Arousal, Comfort and Communication. Journal of Environmental Psychology 8, 177--189.
9. Helander, M. 1978. Drivers' steering behavior during traffic events: A case of perceptual tropism? Human Factors, 20, 681--690.
10. Hummels, C. C. M. 2000. Gestural design tools: Prototypes, experiments and scenarios. Unpublished doctoral dissertation. Delft: Delft University of Technology.
11. Kasmar, J. V. 1992. The development of a usable lexicon of environmental descriptors. In Nasar, J. L. (Ed.) Environmental Aesthetics: Theory, Research & Applications. Cambridge University Press 1992. (First published in Environment and Behavior 2, 1970; 153-8). 144--155
12. Knoop M. 2006. Dynamic lighting for wellbeing in work places: Addressing the visual, emotional and biological aspects of lighting design. In Proceedings of Lighting Engineering 2006 conference (Bled, Slovenia) 63--74.
13. Max - Cycling '74, Retrieved May 3, 2011, from: http://cycling74.com/products/maxmspjitter
14. Processing.org. Retrieved May 3, 2011, from: http://processing.org
15. Quartier, K., Christiaans, H., Van Cleempoel, K. 2009. Retail design: lighting as an atmospheric tool, creating experiences which influence consumers' mood and behaviour in commercial spaces. In: Undisciplined! Design Research Society Conference 2008, (Sheffield, UK, 2008) Sheffield Hallam University.
16. Ross, P. R., Wensveen, S. A. G. 2010. Designing behavior in interaction: using aesthetic experience as a mechanism for design. International Journal of Design, 4(2), 3--13.
17. Ross, P. R., Tomico Plasencia, O. 2009. Research-through-design for considering ethical implications in Ambient Intelligence system design: The Growth Plan approach. In: Proceedings of the AISB 2009 convention (Edinburgh, Scotland, 2009)
18. Stewart, S. 2003. The social consumption of information and communication technologies (ICTs): Insights from research on the appropriation and consumption of new ICTs in the domestic environment. Cogn Tech Work 5 (1), 4--14.
19. Vaughan, B. 2008. A natural choice. Password, 32, 21--23. Retrieved May 03, 2011, from: www.research.philips.com/downloads/password/download/password_31.pdf
20. Veitch J. A., Kaye S. M. Illumination effects on conversational sound levels and job-candidate evaluation. Journal of Environment Psychology 1988; 8: 223--33.
21. Verbücken, M, Rigot, B. 2005. Next Simplicity. Second Edition. Koninklijke Philips Electronics NV.
22. Weiser, M. 1991. The computer for the 21 st century. Scientific American, 265 (3), 94--104
23. Zhong C., Bohns, V. K., Gino, F. 2010. A Good Lamp is the Best Police: Darkness Increases Dishonesty and Self-Interested Behavior. Psychological Science 21 (3), 311--314.

Index Terms

• Human-centered computing

  • Human computer interaction (HCI)

    • HCI design and evaluation methods

    • HCI theory, concepts and models

  • Interaction design

    • Interaction design process and methods

      • User centered design

    • Interaction design theory, concepts and paradigms