Deutsch
Bibtex
Cite as text
@Select Types{,
Journal = "Band-1",
Title= "The Effect of Real-Time Feedback on Indoor Environmental Quality",
Author= "Laura Bitomsky, Oliver Meindl, Marco Schmidt, and Christian Regal",
Doi= "https://doi.org/10.30844/wi_2020_k1-bitomsky",
Abstract= "Due to improved insulation, decreasing indoor environmental quality (IEQ) is an emerging issue in the design of sustainable and energy-efficient buildings. Poor IEQ has severe long-term implications for the occupants’ health. Manual airing is a promising energy-efficient solution to combine good insulation and healthy IEQ. However, occupants’ behavior is crucial for its effectiveness. Digital nudging can help to influence people’s behavior, e.g., by means of giving feedback. We conduct a field experiment over four weeks, in which we provide real-time IEQ feedback to nudge occupants towards opening the windows. We find a significant improvement in IEQ for offices in the treatment group, but also see that the nudge’s effectiveness reduces over time, possibly as a result of habituation. This experiment paves the way for further studies examining the design of nudges towards improving IEQ.
",
Keywords= "Digital Nudging, Indoor Environmental Quality, Health & Well-being",
}
Laura Bitomsky, Oliver Meindl, Marco Schmidt, and Christian Regal: The Effect of Real-Time Feedback on Indoor Environmental Quality. Online: https://doi.org/10.30844/wi_2020_k1-bitomsky (Abgerufen 23.11.24)
Open Access
Abstract
Abstract
Due to improved insulation, decreasing indoor environmental quality (IEQ) is an emerging issue in the design of sustainable and energy-efficient buildings. Poor IEQ has severe long-term implications for the occupants’ health. Manual airing is a promising energy-efficient solution to combine good insulation and healthy IEQ. However, occupants’ behavior is crucial for its effectiveness. Digital nudging can help to influence people’s behavior, e.g., by means of giving feedback. We conduct a field experiment over four weeks, in which we provide real-time IEQ feedback to nudge occupants towards opening the windows. We find a significant improvement in IEQ for offices in the treatment group, but also see that the nudge’s effectiveness reduces over time, possibly as a result of habituation. This experiment paves the way for further studies examining the design of nudges towards improving IEQ.
Keywords
Schlüsselwörter
Digital Nudging, Indoor Environmental Quality, Health & Well-being
References
Referenzen
1. International Energy Agency: Market Report Series: Energy Efficiency 2018. Analysis and Outlooks to 2040 (2018)
2. Hardy, A., Glew, D., Gorse, C., Fletcher, M.: Validating solid wall insulation retrofits with in-use data. Energy and Buildings 165, 200–205 (2018)
3. Fowlie, M., Greenstone, M., Wolfram, C.: Do energy efficiency investments deliver? Evidence from the Weatherization Assistance Program. The Quarterly Journal of Economics 133, 1597–1644 (2018)
4. Wadden, R.A., Scheff, P.A.: Indoor Air Pollution. Characterization, prediction, and control. Wiley, New York (1983)
5. Steinemann, A., Wargocki, P., Rismanchi, B.: Ten questions concerning green buildings and indoor air quality. Building and Environment 112, 351–358 (2017)
6. Fisk, W.J., Rosenfeld, A.H.: Estimates of improved productivity and health from better indoor environments. Indoor Air 7, 158–172 (1997)
7. Wei, W., Ramalho, O., Mandin, C.: Indoor air quality requirements in green building certifications. Building and Environment 92, 10–19 (2015)
8. Homod, R.Z., Sahari, K.S.M., Almurib, H.A.F.: Energy saving by integrated control of natural ventilation and HVAC systems using model guide for comparison. Renewable Energy 71, 639–650 (2014)
9. Wyon, D.P.: The effects of indoor air quality on performance and productivity. Indoor Air 14 Suppl 7, 92–101 (2004)
10. Chenari, B., Dias Carrilho, J., Gameiro da Silva, M.: Towards sustainable, energy-efficient and healthy ventilation strategies in buildings: A review. Renewable and Sustainable Energy Reviews 59, 1426–1447 (2016)
11. Schibuola, L., Scarpa, M., Tambani, C.: Natural Ventilation Level Assessment in a School Building by CO2 Concentration Measures. Energy Procedia 101, 257– 264 (2016)
12. Weinmann, M., Schneider, C., Vom Brocke, J.: Digital Nudging. Bus Inf Syst Eng 58, 433–436 (2016)
13. Hummel, D., Toreini, P., Maedche, A.: Improving Digital Nudging Using Attentive User Interfaces: Theory Development and Experiment Design. In: DESRIST 2018 (2018)
14. Jones, A.P.: Indoor air quality and health. Atmospheric Environment 33, 4535– 4564 (1999)
15. Almeida, R.M.S.F., Freitas, V.P. de, Delgado, J.M.P.Q.: School Buildings Rehabilitation. Springer International Publishing, Cham (2015)
16. Klepeis, N.E., Nelson, W.C., Ott, W.R., Robinson, J.P., Tsang, A.M., Switzer, P., Behar, J.V., Hern, S.C., Engelmann, W.H.: The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. J. Expo. Sci. Environ. Epidemiol. 11, 231–252 (2001)
17. Wolkoff, P.: Indoor air humidity, air quality, and health – An overview. International journal of hygiene and environmental health 221, 376–390 (2018)
18. Spengler, J.D.: Climate change, indoor environments, and health. Indoor Air 22, 89–95 (2012)
19. Mujeebu, M.A. (ed.): Indoor Environmental Quality. IntechOpen (2019)
20. Moschandreas, D.J., Sofuoglu, S.C.: The indoor environmental index and its relationship with symptoms of office building occupants. Journal of the Air & Waste Management Association 54, 1440–1451 (2004)
21. Heiselberg, P., Perino, M.: Short-term airing by natural ventilation – implication on IAQ and thermal comfort. Indoor Air 20, 126–140 (2010)
22. Chaiken, S., Trope, Y. (eds.): Dual-process theories in social psychology. Guilford Press, New York, NY (1999)
23. Tversky, A., Kahneman, D.: Judgment under Uncertainty: Heuristics and Biases. Science (New York, N.Y.) 185, 1124–1131 (1974)
24. Thaler, R.H., Sunstein, C.R.: Nudge. Improving decisions about health, wealth, and happiness. Penguin, New York, NY (2009)
25. Hansen, P.G., Jespersen, A.M.: Nudge and the Manipulation of Choice. Eur. j. risk regul. 4, 3–28 (2013)
26. Bordalo, P., Gennaioli, N., Shleifer, A.: Salience Theory of Choice Under Risk. The Quarterly Journal of Economics 127, 1243–1285 (2012)
27. Coch, L., French, J.R.P.: Overcoming Resistance to Change. Human Relations 1, 512–532 (1948)
28. Bénabou, R., Tirole, J.: Incentives and Prosocial Behavior. American Economic Review 96, 1652–1678 (2006)
29. Mirsch, T., Lehrer, C., Jung, R.: Digital Nudging: Altering User Behavior in Digital Environments. In: Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017), pp. 634–648. St. Gallen, Switzerland (2017)
30. Croson, R., Shang, J.: The impact of downward social information on contribution decisions. Exper Econ 11, 221–233 (2008)
31. Noar, S.M., Hall, M.G., Francis, D.B., Ribisl, K.M., Pepper, J.K., Brewer, N.T.: Pictorial cigarette pack warnings: a meta-analysis of experimental studies. Tobacco control 25, 341–354 (2016)
32. Mann, T., Ward, A.: Attention, Self-Control, and Health Behaviors. Curr Dir Psychol Sci 16, 280–283 (2007)
33. Pahuja, A., Tan, C.-H.: Breaking the Stereotypes: Digital Nudge to Attenuate Racial Stereotyping in the Sharing Economy (2017)
34. Goldstein, D.G., Johnson, E.J., Herrmann, A., Heitmann, M.: Nudge your customers toward better choices. Harvard Business Review 86, 99–105 (2008)
35. Tiefenbeck, V., Staake, T., Roth, K., Sachs, O.: For better or for worse? Empirical evidence of moral licensing in a behavioral energy conservation campaign. Energy Policy 57, 160–171 (2013)
36. Tiefenbeck, V., Wörner, A., Schöb, S., Fleisch, E., Staake, T.: Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives. Nature Energy 4, 35–41 (2019)
37. Dolan, P., Hallsworth, M., Halpern, D., King, D., Metcalfe, R., Vlaev, I.: Influencing behaviour: The mindspace way. Journal of Economic Psychology 33, 264–277 (2012)
38. Bond, R.M., Fariss, C.J., Jones, J.J., Kramer, A.D.I., Marlow, C., Settle, J.E., Fowler, J.H.: A 61-million-person experiment in social influence and political mobilization. Nature 489, 295–298 (2012)
39. Wargocki, P., Da Silva, N.A.F.: Use of visual CO2 feedback as a retrofit solution for improving classroom air quality. Indoor Air 25, 105–114 (2015)
40. Jensen, T., Holtz, G., Baedeker, C., Chappin, É.J.L.: Energy-efficiency impacts of an air-quality feedback device in residential buildings: An agent-based modeling assessment. Energy and Buildings 116, 151–163 (2016)
41. Heger, S., Gimpel, H., Wöhl, M., Bätz, A.: Driving Sustainably: The Influence of Eco-Feedback and Personal Factors on Driving Behaviour. In: Proceedings of the 53rd HICSS 2020 (2020, in press)
42. Beckmann, S., Lahmer, S., Markgraf, M., Meindl, O., Rauscher, J., Regal, C., Gimpel, H., Bauer, B.: Generic sensor framework enabling personalized healthcare. In: 2017 IEEE Life Sciences Conference (LSC), pp. 83–86 (2017)
43. Astor, P.J., Adam, M.T.P., Jerčić, P., Schaaff, K., Weinhardt, C.: Integrating Biosignals into Information Systems: A NeuroIS Tool for Improving Emotion Regulation. Journal of Management Information Systems 30, 247–278 (2013)
44. Venkatesh, V., Davis, F.D.: A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science 46, 186–204 (2000)