An empirical investigation of domestic energy data visualizations

• Investigates how the choice of information visualization influences people in making sense data for domestic electricity consumption. Results experiment suggest that by using an area-based visualization, can gain a more accurate understanding much different appliances use. These results are important because display current smart meters tend to use time-series which we show be less effective enabling users develop Which device your home uses most electricity? Many have poor their energy In this paper, evaluated three visualizations used deliver feedback. were: (1) aggregated line graph – showing changes total consumption over time, (2) disaggregated consumed time but separated out at appliance-level, and (3) cumulative given period. experiment, 65 participants one these make same pattern data. Participants who gained were compared shown series will impact people's from metering systems, appliance-wise disaggregation offers promising approach visualizing