Princeton University
The "Extra" Smart Meter
Human Factors Engineering student
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If global energy consumption mirrored that of the average American today, it would take the resources of 4 earths to sustain the population. Although some industrialized countries are stabilizing electricity usage, the Energy Information Administration predicts a 48 % increase in world energy consumption by 2040. In this project, we aimed to adjust demand-side factors for reducing energy consumption by re-designing the interface of a personal smart home electricity meter. 

We focused on implementing four demand-side strategies: choice architecture, competition, awareness, and information readiness. Additionally, we applied several academic behavioral theories to our design: anchoring, framing, query theory, status-quo bias, behavioral nudging, prospect theory's reference points, injunctive + descriptive social norms. Ultimately, we created smart meter that surpasses those currently on the market, according to a robust set of human factors theory-based design metrics.

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