Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-27T04:13:47.775Z Has data issue: false hasContentIssue false
  • English
  • Français

A MODELLING FRAMEWORK FOR DATA-DRIVEN DESIGN FOR SUSTAINABLE BEHAVIOUR IN HUMAN-MACHINE INTERACTIONS

Published online by Cambridge University Press:  27 July 2021

Tiziano Montecchi  and
Niccolo' Becattini
Tiziano Montecchi
Affiliation:
Universidad Técnica Federico Santa María, Chile
Niccolo' Becattini*
Affiliation:
Universidad Técnica Federico Santa María, Chile
*
Becattini, Niccolo, Politecnico di Milano, Mechanical Engineering, Italy, [email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

As the society is already permeated by data, a data-driven approach to inform design for sustainable behaviour can help to identify misbehaviours and target sustainable behaviours to achieve, as well as to select and implement the most suitable design strategies to promote a behavioural change and monitor their effectiveness. This work addresses the open challenge of providing designers with a model for Human-Machine Interactions (HMI) that helps to identify relevant data to collect for inferring user behaviour related to environmental sustainability during product use.

We propose a systematic modelling framework that combines constructs from existing representation techniques to identify the most critical variables for resources consumption, which are the determinants of potential misbehaviours related to HMI. The analysis is represented as a Behaviour-Inefficiency Model that graphically supports the analyst/designer to link user behaviours with a quantitative representation of resources consumption.

The paper describes the model through an example of the use of a kettle and an additional application of the same approach to a washing machine, in order to point out its versatility for modelling more complex interactions.

Keywords

Product modelling / modelsSustainabilityBig dataBehaviour ChangeProcess modelling
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 151 - 160
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

References

Becattini, N. (2013) - D2.2 - Product and Process Modeling - State of the Art - Deliverable of the FORMAT Project - http://www.format-project.eu/deliverables/public-reports-and-white-papers/deliverable-2.2/viewGoogle Scholar
Bhamra, T., Lilley, D., & Tang, T. (2011). Design for sustainable behaviour: Using products to change consumer behaviour. The Design Journal, 14(4), 427–445.CrossRefGoogle Scholar
Cantamessa, M., Montagna, F., Altavilla, S., & Casagrande-Seretti, A. (2020). Data-driven design: the new challenges of digitalization on product design and development. Design Science, 6.CrossRefGoogle Scholar
Coskun, A., Zimmerman, J., & Erbug, C. (2015). Promoting sustainability through behavior change: A review. Design Studies, 41, 183–204.CrossRefGoogle Scholar
Elias, E. W. A. (2011). User-efficient design: Reducing the environmental impact of user behaviour through the design of products (Doctoral dissertation, University of Bath).Google Scholar
Gero, J.S. and Kannengiesser, U., 2004. The situated function–behaviour–structure framework. Design studies, 25(4), pp.373–391.CrossRefGoogle Scholar
Hubka, V. and Eder, W.E., 2012. Theory of technical systems: a total concept theory for engineering design. Springer Science & Business Media.Google Scholar
ISO/IEC/IEEE 31320-1:2012 Information technology — Modeling Languages — Part 1: Syntax and Semantics for IDEF0Google Scholar
Khadilkar, P.R. and Cash, P., 2020, May. Discerning behavioural design: a conceptual model. In Proceedings of the Design Society: DESIGN Conference (Vol. 1, pp. 1455–1464). Cambridge University Press.CrossRefGoogle Scholar
Lockton, D., Harrison, D., Stanton, N.A. (2010), Design for behaviour change, Advances in Psychology Research, Volume 67, pp. 63–81.Google Scholar
McAloone, T. C., & Pigosso, D. C. (2017). From ecodesign to sustainable product/service-systems: a journey through research contributions over recent decades. In Sustainable Manufacturing (pp. 99–111). Springer, Cham.CrossRefGoogle Scholar
Montecchi, T., & Becattini, N. (2020, May). Design for sustainable behavior: Opportunities and challenges of a data-driven approach. In Proceedings of the Design Society: DESIGN Conference (Vol. 1, pp. 2089–2098). Cambridge University Press.CrossRefGoogle Scholar
Nadkarni, P. M., Marenco, L., Chen, R., Skoufos, E., Shepherd, G., & Miller, P. (1999). Organization of heterogeneous scientific data using the EAV/CR representation. Journal of the American Medical Informatics Association, 6(6), 478–493.10.1136/jamia.1999.0060478CrossRefGoogle ScholarPubMed
Pahl, G., & Beitz, W. (2013). Engineering design: a systematic approach. Springer Science & Business Media.Google Scholar
Roozenburg, N.F.M. and Eekels, J. (1995), Product Design: Fundamentals and Methods, John Wiley & Sons Ltd, West Sussex, England.Google Scholar
Russo, D., Regazzoni, D., & Montecchi, T. (2011). Eco-design with TRIZ laws of evolution. In Innovative product design: 9th ETRIA World TRIZFuture Conference, Timisoara, Romania, 4-6 November 2009 (Vol. 9, pp. 311–322). Elsevier ScienceGoogle Scholar
Sankowski, O. and Krause, D., 2018, November. Using Multi-Channel Human-System Interaction for User-Centered Product Design. In ASME International Mechanical Engineering Congress and Exposition (Vol. 52187, p. V013T05A036). American Society of Mechanical Engineers.Google Scholar
Schmidt, M. (2008). The Sankey diagram in energy and material flow management: part II: methodology and current applications. Journal of industrial ecology, 12(2), 173–185.CrossRefGoogle Scholar
Scurati, G. W., Huang, S., Wu, S., Chen, T., Zhang, Y., Graziosi, S., Bordegoni, M. (2019, July). Multisensory nudging: a design intervention for sustainable hand-washing behavior in public space. In Proceedings of the design society: International Conference on Engineering Design (Vol. 1, No. 1, pp. 3341–3350). Cambridge University Press.Google Scholar
Telenko, Cassandra, O'Rourke, Julia M., Seepersad, Carolyn C., and Webber, Michael E.. 2016. A compilation of design for environment guidelines. Journal of Mechanical Design 138(3): 31102. https://dx.doi.org/10.1115/1.4032095CrossRefGoogle Scholar
UN, Transforming Our World: The 2030 Agenda for Sustainable Development (UN, New York, 2015);Google Scholar
Umeda, Y., Tomiyama, T. and Yoshikawa, H., 1995, May. FBS modeling: modeling scheme of function for conceptual design. In Proc. of the 9th int. workshop on qualitative reasoning (pp. 271–278).Google Scholar