A method for identifying and quantifying Usage EcoDrifts

Usage ecodrifts, which refer to non-optimal use of a product by the users, create additional environmental impact generators: energy overconsumption (real-time impacts) and abnormal wear and tear of parts of the product (delayed impacts). The goal of our study was to develop a method for identifying and quantifying UEDs of products that have a high environmental impact use phase. In this paper, we studied the case of different usages of a vacuum cleaner and their environmental consequences. We first conducted a survey to gather information on how people use the product. Then, we conducted experimentations to measure the consequences of the usages. We also explored how the testers responded to feedback inviting them to adopt a more sustainable behaviour. Results show that most of the users do not use the product optimally and cause additional environmental impact. Several usage ecodrifts were identified, causing both abnormal energy overconsumption and wear and tear of the product. The calculations show that Delayed Environmental Impacts, because their consequence is the early replacement of the whole product, are of much greater importance than Real-time Environmental Impacts.

[1]  Ying Chen,et al.  Probabilistic latent semantic user segmentation for behavioral targeted advertising , 2009, KDD Workshop on Data Mining and Audience Intelligence for Advertising.

[2]  Yoram Shiftan,et al.  Quantification of the Impacts of Eco-driving Training and Real-time Feedback on Urban Buses Driver's Behaviour , 2014 .

[3]  Fabrice Mathieux,et al.  Environmental assessment of the durability of energy-using products: method and application , 2014 .

[4]  Gjalt Huppes,et al.  Life cycle assessment: past, present, and future. , 2011, Environmental science & technology.

[5]  Richard G. Newell,et al.  Environmental and Technology Policies for Climate Mitigation , 2008 .

[6]  M. Molly McMahon,et al.  ‘Design Beyond Borders’: international collaborative projects as a mechanism to integrate social sustainability into student design practice , 2012 .

[7]  Sissel A. Waage,et al.  Re-considering product design: a practical “road-map” for integration of sustainability issues , 2007 .

[8]  John E. Taylor,et al.  Investigating the impact eco-feedback information representation has on building occupant energy consumption behavior and savings , 2013 .

[9]  Peggy Zwolinski,et al.  A protocol to perform usage oriented ecodesign , 2014 .

[10]  I. Ajzen The theory of planned behavior , 1991 .

[11]  Donald A. Norman,et al.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .

[12]  Darren Perrin,et al.  Issues associated with transforming household attitudes and opinions into materials recovery: a review of two kerbside recycling schemes , 2001 .

[13]  Henk Visscher,et al.  The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock , 2009 .

[14]  D. Maxwell,et al.  Developing sustainable products and services , 2003 .

[15]  John E. Taylor,et al.  Effects of real-time eco-feedback and organizational network dynamics on energy efficient behavior in commercial buildings , 2014 .

[16]  Han Brezet,et al.  Ecodesign : a promising approach to sustainable production and consumption , 1997 .

[17]  E. Sardianou,et al.  Estimating space heating determinants: An analysis of Greek households , 2008 .

[18]  Dominique Millet,et al.  Study of user behaviour after eco-use feedback: the Green-Use Learning Cycle (GULC) as a new strategy for product eco-design , 2014 .

[19]  James A. Landay,et al.  The design of eco-feedback technology , 2010, CHI.

[20]  Babak Teimourpour,et al.  LCP segmentation: A framework for evaluation of user engagement in online social networks , 2015, Comput. Hum. Behav..

[21]  Peggy Zwolinski,et al.  A Procedure to Define the Best Design Intervention Strategy on a Product for a Sustainable Behavior of the User , 2014 .

[22]  Delphine Riu,et al.  A review on lithium-ion battery ageing mechanisms and estimations for automotive applications , 2013 .

[23]  Ulrich Nissen A methodology for the development of cleaner products , 1995 .

[24]  Riccardo Russo,et al.  Feeding back about eco-feedback: How do consumers use and respond to energy monitors? , 2014 .

[25]  Paul S Phillips,et al.  Determining the drivers for householder pro-environmental behaviour: waste minimisation compared to recycling , 2004 .

[26]  Cristina Gazulla,et al.  Proposal for new quantitative eco-design indicators: a first case study , 2009 .

[27]  Eli Blevis,et al.  Energy aware dwelling: a critical survey of interaction design for eco-visualizations , 2008, OZCHI.

[28]  A. Tukker,et al.  Product-services as a research field: past, present and future. Reflections from a decade of research , 2006 .

[29]  John E. Taylor,et al.  Assessing Eco-Feedback Interface Usage and Design to Drive Energy Efficiency in Buildings , 2012 .

[30]  Carlo Vezzoli,et al.  Life Cycle Design: from general methods to product type specific guidelines and checklists: a method adopted to develop a set of guidelines/checklist handbook for the eco-efficient design of NECTA vending machines , 2006 .

[31]  Debra Lilley,et al.  Design for sustainable behaviour: strategies and perceptions , 2009 .

[32]  Dominique Millet,et al.  A Simplified Model to Include Dynamic Product‐User Interaction in the Eco‐Design Process , 2014 .

[33]  Carlo Vezzoli,et al.  Design for Environmental Sustainability , 2008 .

[34]  Tracy Bhamra,et al.  Design for Sustainable Behaviour: Using Products to Change Consumer Behaviour , 2011 .

[35]  Neville A Stanton,et al.  The Design with Intent Method: a design tool for influencing user behaviour. , 2010, Applied ergonomics.

[36]  Rossitza Setchi,et al.  Intuitive interaction with multifunctional mobile interfaces , 2013, J. King Saud Univ. Comput. Inf. Sci..

[37]  Olivia Guerra Santin,et al.  Behavioural Patterns and User Profiles related to energy consumption for heating , 2011 .

[38]  A. Hamish Jamson,et al.  Drivers’ ability to learn eco-driving skills; effects on fuel efficient and safe driving behaviour , 2015 .

[39]  Conny Bakker,et al.  Designing change by living change , 2012 .

[40]  Casper Boks,et al.  User‐centred design for sustainable behaviour , 2008 .

[41]  Eric Paulos,et al.  Home, habits, and energy: examining domestic interactions and energy consumption , 2010, CHI.

[42]  Filipe Quintal,et al.  Understanding families' motivations for sustainable behaviors , 2014, Comput. Hum. Behav..

[43]  Shuling Chen Lillemo Measuring the effect of procrastination and environmental awareness on households' energy-saving behaviours: An empirical approach , 2014 .

[44]  MariAnne Karlsson,et al.  The Green User. Design for Sustainable Behaviour. , 2011 .

[45]  Michael Zwicky Hauschild,et al.  From Life Cycle Assessment to Sustainable Production: Status and Perspectives , 2005 .

[46]  Martin C. Maguire,et al.  Context of Use within usability activities , 2001, Int. J. Hum. Comput. Stud..

[47]  T. Bhamra,et al.  CHANGING ENERGY CONSUMPTION BEHAVIOUR THROUGH SUSTAINABLE PRODUCT DESIGN , 2008 .

[48]  Gerald Rebitzer,et al.  IMPACT 2002+: A new life cycle impact assessment methodology , 2003 .

[49]  G. Davis,et al.  Sustainable attitudes and behaviours amongst a sample of non‐academic staff: A case study from an Information Services Department, Griffith University, Brisbane , 2009 .

[50]  Christian Burgers,et al.  How feedback boosts motivation and play in a brain-training game , 2015, Comput. Hum. Behav..

[51]  Adriaan Perrels,et al.  Wavering between radical and realistic sustainable consumption policies: in search for the best feasible trajectories , 2008 .