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Buchanan, K, Staddon, S and van der Horst, D (2018) Feedback in energy-demand reduction. Building Research & Information, 46(03), 231–7.

Bull, R and Janda, K B (2018) Beyond feedback: introducing the ‘engagement gap’ in organizational energy management. Building Research & Information, 46(03), 300–15.

Gupta, R, Barnfield, L and Gregg, M (2018) Exploring innovative community and household energy feedback approaches. Building Research & Information, 46(03), 284–99.

Hargreaves, T (2018) Beyond energy feedback. Building Research & Information, 46(03), 332–42.

Herrmann, M R, Brumby, D P, Oreszczyn, T and Gilbert, X M P (2018) Does data visualization affect users’ understanding of electricity consumption?. Building Research & Information, 46(03), 238–50.

  • Type: Journal Article
  • Keywords: agency; behaviour change; data visualization; disaggregation; energy demand; energy literacy; feedback; smart meters; time series;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2017.1356164
  • Abstract:
    Different data visualizations are investigated for how they enable occupants to learn about domestic energy consumption. Smart metering can potentially encourage householders to change their behaviour and save energy. However, concerns exist about whether users understand domestic energy feedback. Two challenges are addressed: feedback displays typically show aggregate consumption and they show time-series data visualizations, which are difficult to relate to everyday actions in the household. A laboratory experiment (N = 43) assessed changes in participants’ knowledge of how much electricity everyday actions consume after being exposed to different forms of energy-consumption data visualizations: (1) an aggregated time-series line graph, (2) a disaggregated time-series line graph and (3) a normalized disaggregated visualization that deemphasized time. Participants played an energy game both before and after they saw the simulation. Participants in condition (3) were more accurate and more confident in their post-test judgments about everyday domestic electricity consumption than other participants. These findings suggest that the type of data visualization affects users’ understanding of domestic electricity consumption. The visualization of disaggregated energy feedback at the appliance level should be considered for future generations of technology.

Revell, K M A and Stanton, N A (2018) Mental model interface design: putting users in control of home heating. Building Research & Information, 46(03), 251–71.

Robison, R A V and Foulds, C (2018) Constructing policy success for UK energy feedback. Building Research & Information, 46(03), 316–31.

Spence, A, Goulden, M, Leygue, C, Banks, N, Bedwell, B, Jewell, M, Yang, R and Ferguson, E (2018) Digital energy visualizations in the workplace: the e-Genie tool. Building Research & Information, 46(03), 272–83.