An Intelligent Hot-Desking Model Based on Occupancy Sensor Data and Its Potential for Social Impact

Konstantinos Maraslis*, Peter Cooper, Theo Tryfonas, George Oikonomou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
298 Downloads (Pure)

Abstract

In this paper we develop a model that utilises occupancy sensor data in a commercial Hot-Desking environment. Hot-Desking (or ‘office-hoteling’) is a method of office resource management that emerged in the nineties hoping to reduce the real estate costs of workplaces, by allowing offices to be used interchangeably among employees. We show that sensor data can be used to facilitate office resources management, in our case desk allocation in a Hot-Desking environment, with results that outweigh the costs of occupancy detection. We are able to optimise desk utilisation based on quality occupancy data and also demonstrate the effectiveness of the model by comparing it to a theoretically ideal, but impractical in real life, model. We then explain how a generalisation of the model that includes input from human sensors (e.g. social media) besides the presence sensing and pre-declared personal preferences, can be used, with potential impact on wider community scale.

Original languageEnglish
Title of host publicationTransactions on Large-Scale Data- and Knowledge-Centered Systems XXVII
Subtitle of host publicationSpecial Issue on Big Data for Complex Urban Systems
PublisherSpringer-Verlag Berlin
Pages142-158
Number of pages17
Volume9860 LNCS
ISBN (Electronic)9783662534168
ISBN (Print)9783662534151
DOIs
Publication statusPublished - 4 Sep 2016
Event49th Hawaii International Conference on System Sciences, HICSS 2016 - Kauai, United States
Duration: 5 Jan 20168 Jan 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9860 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference49th Hawaii International Conference on System Sciences, HICSS 2016
CountryUnited States
CityKauai
Period5/01/168/01/16

Keywords

  • Hot-desking
  • Optimisation

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    Maraslis, K., Cooper, P., Tryfonas, T., & Oikonomou, G. (2016). An Intelligent Hot-Desking Model Based on Occupancy Sensor Data and Its Potential for Social Impact. In Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII: Special Issue on Big Data for Complex Urban Systems (Vol. 9860 LNCS, pp. 142-158). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9860 LNCS). Springer-Verlag Berlin. https://doi.org/10.1007/978-3-662-53416-8_9