Exploring the flexibility of everyday practices for shifting energy consumption through clockcast

Encouraging sustainable living by raising awareness of resource consumption has long been a topic within HCI. However, getting people to change behavior when it comes to energy consumption is difficult. This is one of the major challenges ahead for future energy systems, in particular if resources are renewable and plentiful. We developed the ClockCast prototypes (web and clock forecast) to explore demand response and the flexibility potential of everyday practices. We wanted to reframe the conversation on demand response: from highlighting when not to use energy to highlighting when to use it. The ClockCast prototypes display the best times to use electricity, and they were complemented by proactive and positive suggestions. We conducted a pilot study with five different households to uncover the socio-technical challenges around shifting consumption and the participants' experiences with the prototypes. While the participants increased their awareness of the environmental implications of their actions, shifted some electricity use, and found the forecasts useful, some participants also reported newfound guilt when they did not follow the forecasts.

[1]  Manfred Tscheligi,et al.  Exploring Persuasion in the Home: Results of a Long-Term Study on Energy Consumption Behavior , 2013, AmI.

[2]  W. Fichtner,et al.  Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions , 2012 .

[3]  Cecilia Katzeff,et al.  THAT’S THE SMELL OF PEACETIME - DESIGNING FOR ELECTRICITY LOAD BALANCING , 2015 .

[4]  Jean-Michel Glachant,et al.  Large-Scale Wind Power in Electricity Markets with Regular Papers , 2010 .

[5]  Johnny Rodgers,et al.  Chasing the Negawatt: Visualization for Sustainable Living , 2010, IEEE Computer Graphics and Applications.

[6]  Eric Paulos,et al.  UpStream: motivating water conservation with low-cost water flow sensing and persuasive displays , 2010, CHI.

[7]  Eric Paulos,et al.  The local energy indicator: designing for wind and solar energy systems in the home , 2012, DIS '12.

[8]  Bente Halkier.  ROUTINISATION OR REFLEXIVITY? CONSUMERS AND NORMATIVE CLAIMS FOR ENVIRONMENTAL CONSIDERATION , 2013 .

[9]  Nervo Verdezoto,et al.  Tough Shift: Exploring the Complexities of Shifting Residential Electricity Use Through a Casual Mobile Game , 2015, CHI PLAY.

[10]  Anton Gustafsson,et al.  The power-aware cord: energy awareness through ambient information display , 2005, CHI Extended Abstracts.

[11]  Phoebe Sengers,et al.  Reflective design , 2005, Critical Computing.

[12]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[13]  Magnus Bång,et al.  The PowerHhouse: A Persuasive Computer Game Designed to Raise Awareness of Domestic Energy Consumption , 2006, PERSUASIVE.

[14]  Nervo Verdezoto,et al.  EcoBears: augmenting everyday appliances with symbolic and peripheral feedback , 2015, AH.

[15]  Margot Brereton,et al.  Curiosity to cupboard: self reported disengagement with energy use feedback over time , 2013, OZCHI.

[16]  Helen Ai He,et al.  Motivating Sustainable Energy Consumption in the Home , 2008 .

[17]  Manfred Tscheligi,et al.  FORE-Watch - The Clock That Tells You When to Use: Persuading Users to Align Their Energy Consumption with Green Power Availability , 2011, AmI.

[18]  Philippe Pasquier,et al.  Elements of Consumption: An Abstract Visualization of Household Consumption , 2011, Smart Graphics.

[19]  Phoebe Sengers,et al.  Mapping the landscape of sustainable HCI , 2010, CHI.

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

[21]  I. Stengers,et al.  Introductory notes on an ecology of practices , 2013 .

[22]  Thomas A. Heberlein,et al.  The influence of price and attitude on shifting residential electricity consumption from on- to off-peak periods , 1983 .

[23]  Margot Brereton,et al.  When an eco-feedback system joins the family , 2015, Personal and Ubiquitous Computing.

[24]  Anton Gustafsson,et al.  Evaluation of a pervasive game for domestic energy engagement among teenagers , 2008, ACE '08.

[25]  Yolande A. A. Strengers,et al.  Designing eco-feedback systems for everyday life , 2011, CHI.

[26]  Lyn Bartram,et al.  Design Challenges and Opportunities for Eco-Feedback in the Home , 2015, IEEE Computer Graphics and Applications.

[27]  Alan J. Dix,et al.  Tiree Energy Pulse: Exploring Renewable Energy Forecasts on the Edge of the Grid , 2015, CHI.

[28]  Jesper Kjeldskov,et al.  Design of an appliance level eco-feedback display for domestic electricity consumption , 2014, OZCHI.

[29]  John T. Stasko,et al.  A taxonomy of ambient information systems: four patterns of design , 2006, AVI '06.

[30]  Tom Rodden,et al.  At home with agents: exploring attitudes towards future smart energy infrastructures , 2013, IJCAI.

[31]  June A. Flora,et al.  Real-time Feedback and Electricity Consumption: A Field Experiment Assessing the Potential for Savings and Persistence , 2013 .

[32]  Stuart Reeves,et al.  Envisioning ubiquitous computing , 2012, CHI.

[33]  Volker Wulf,et al.  Cultivating energy literacy: results from a longitudinal living lab study of a home energy management system , 2013, CHI.

[34]  Guy R. Newsham,et al.  The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review , 2010 .

[35]  Phoebe Sengers,et al.  Sustainably unpersuaded: how persuasion narrows our vision of sustainability , 2012, CHI.

[36]  Gerd Kortuem,et al.  Conversations with my washing machine : an inthe-wild study of demand-shifting with self-generated energy Conference or Workshop Item , 2019 .

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

[38]  Henrik Blunck,et al.  Challenge: Getting Residential Users to Shift Their Electricity Usage Patterns , 2015, e-Energy.

[39]  Jan O. Borchers,et al.  Physical prototyping of an on-outlet power-consumption display , 2012, INTR.

[40]  Christine Nadel,et al.  Case Study Research Design And Methods , 2016 .

[41]  Wendy E. Mackay,et al.  HCI, natural science and design: a framework for triangulation across disciplines , 1997, DIS '97.

[42]  Anton Gustafsson,et al.  Power explorer: a casual game style for encouraging long term behavior change among teenagers , 2009, Advances in Computer Entertainment Technology.

[43]  Anton Gustafsson,et al.  Visualizing Energy Consumption of Radiators , 2006, PERSUASIVE.

[44]  Jesper Kjeldskov,et al.  Eco-Forecasting for Domestic Electricity Use , 2015, CHI.

[45]  Ellen Yi-Luen Do,et al.  Energy Puppet: An Ambient Awareness Interface for Home Energy Consumption , 2008 .

[46]  Åsa Nyblom,et al.  Coffee maker patterns and the design of energy feedback artefacts , 2010, Conference on Designing Interactive Systems.

[47]  Sarvapali D. Ramchurn,et al.  Doing the laundry with agents: a field trial of a future smart energy system in the home , 2014, CHI.

[48]  Johnny Rodgers,et al.  Exploring Ambient and Artistic Visualization for Residential Energy Use Feedback , 2011, IEEE Transactions on Visualization and Computer Graphics.

[49]  Carman Neustaedter,et al.  Everyday activities and energy consumption: how families understand the relationship , 2013, CHI.

[50]  Nervo Verdezoto,et al.  Beyond the Individual: The Contextual Wheel of Practice as a Research Framework for Sustainable HCI , 2015, CHI.

[51]  Jesper Kjeldskov,et al.  Aesthetic, Functional and Conceptual Provocation in Research Through Design , 2017, Conference on Designing Interactive Systems.

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

[53]  James K. Scarborough,et al.  Increasing Energy Efficiency With Entertainment Media , 2015 .

[54]  Helmut Krcmar,et al.  Motivating domestic energy conservation through comparative, community-based feedback in mobile and social media , 2011, C&T.