A conceptual framework for personalization of indoor comfort parameters based on office workers’ preferences

Saeed Mirzaeifar*, Pedram Daee, Vishal Singh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Prevention of building-related illnesses and improving indoor air quality has become an emerging research area not only because of the comfort of workers in an office or the quality of the perceived air, but also because it can provide financial benefits to both employees and employers through a potential reduction in prolonged sick leaves. Therefore, building facility managers attempt to achieve the most comfortable and healthy environment conditions for the office workers. However, the parameters associated with achieved comfort vary from person to person as workers` preferences, as well physiological characteristics, are heterogeneous. In the ideal case, the indoor health parameters should be personalized based on individuals` feedback. This paper presents a computational framework for personalization of environmental parameters based on limited office workers’ feedback. We propose that by using current state of the art machine learning methods it is possible to learn the preference model of individuals, by employing both the limited feedback and the relevant literature on health-related symptoms. The framework is explained and discussed in a potential example scenario. Evaluation based on real data is left as a future work.

Original languageEnglish
Title of host publicationProduct Lifecycle Management to Support Industry 4.0 - 15th IFIP WG 5.1 International Conference, PLM 2018, Proceedings
EditorsJosé Ríos, Frédéric Noël, Paolo Chiabert, Abdelaziz Bouras
Pages35-45
Number of pages11
ISBN (Electronic)978-3-030-01614-2
DOIs
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Product Lifecycle Management - Turin, Italy
Duration: 2 Jul 20184 Jul 2018
Conference number: 15

Publication series

NameIFIP Advances in Information and Communication Technology
Volume540
ISSN (Print)1868-4238

Conference

ConferenceInternational Conference on Product Lifecycle Management
Abbreviated titlePLM
Country/TerritoryItaly
CityTurin
Period02/07/201804/07/2018

Keywords

  • Building information modelling
  • Building-related symptoms
  • Indoor health parameters
  • Office building
  • Personalization
  • Worker preference

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