Towards a Seat Search System for Hot-Desking
- 518 Downloads
It has never been easier to precisely understand the environmental aspects of buildings, in terms of both simulation and post-occupancy measurements. However, fulfilling every user’s demand with building climate control is not easy for every office operator, especially for owners of existing buildings. In such cases, visualising the environment and letting users search and choose their seat can be a solution. To achieve this goal, we first conducted user research and environmental sensing. We found that every user’s preference is different, and that the stability of the environment may affect users’ evaluation of the space. Based on the results, we discussed the user input and visualisation method, both of which are key elements for a search user interface (UI). It is important to balance the psychological validity and ease of use for an environment search UI. Based on the discussion, we propose that the search UI should have an input for acceptable environmental indicator-range for seat search, while at the same time, visualising areas with an unstable environment with hatching.
KeywordsOffice Micro-climate User intervention
We thank following DDL members for their assistance: Mr Takeuchi Satoshi for installing sensors, Mr Hatanaka Yoshinori and Mr Izumi Bunji for developing data collection system, Mr Lin Xuhao, Mr Anders Rod Peters and Mr Hasegawa Nobuhito for collecting references. Also, the anonymous reviewers for their meaningful suggestions.
- Abbaszadeh, S., Zagreus, L., Lehrer, D., Huizenga, C.: Occupant satisfaction with indoor environmental quality in green buildings. In: Proceedings of Healthy Buildings 2006, vol. III, pp. 365–370, Lisbon (2006)Google Scholar
- Archilyse AG: Archilyse (n.d.). https://www.archilyse.com/. Accessed 29 Mar 2019
- ASHRAE: Thermal comfort chapter, fundamentals volume of the ASHRAE handbook. ASHRAE, Inc., Atlanta, GA (2005)Google Scholar
- Budds, D.: Could sensor networks be the secret to less hellish offices? (2016). https://www.fastcompany.com/3063166/could-sensor-networks-be-the-secret-to-less-hellish-offices. Accessed 29 Mar 2019
- Hengl, T.: Visualisation of uncertainty using the HSI colour model: computations with colours. In: 7th International Conference on GeoComputation, 8 September 2003–10 September 2003. University of Southampton, United Kingdom (2003)Google Scholar
- Helliwell, J., Layard, R., Sachs, J.: World happiness report 2019. Sustainable Development Solutions Network, New York (2019). http://worldhappiness.report/ed/2019/. Accessed 29 Mar 2019
- Laitio, T.: From best design to just design (2011). http://opendesignnow.org/index.html%3Fp=432.html. Accessed 29 Mar 2019
- Tagliabue, L.C., Manfren, M., De Angelis, E.: Energy efficiency assessment based on realistic occupancy patterns obtained through stochastic simulation. In: Design Modelling Symposium 2015, Copenhagen, 30 September 2015–02 October 2015 (2015)Google Scholar
- PLP Architecture: The Edge (n.d.). http://www.plparchitecture.com/the-edge.html. Accessed 29 Mar 2019
- Welch, R., Bates R., Connock, C., Eisele, E.: Ubiquitous monitoring and adaptation of the tempered environment. In: Design Modelling Symposium 2015, Copenhagen, 30 September 2015–02 October 2015 (2015)Google Scholar
- Waber, B.N.: People Analytics: How Social Sensing Technology Will Transform Business and What It Tells Us About the Future of Work. Pearson Education, London (2013)Google Scholar