An Interdisciplinary Approach to Designing and Evaluating Data-Driven Interactive Experiences for Sustainable Decision-Making
Abstract
Running long-term field studies is a valuable yet slow and costly approach to test the efficacy of interaction designs on people's everyday decision making and behavior. In this position paper we describe the rationale behind an interdisciplinary approach to designing and evaluating data-driven interactive experiences for sustainable decision-making. We are a group consisting of HCI and visualization researchers, energy-economy modeling experts who work on mitigation pathways, and behavioral economists who run controlled experiments to study how people make decisions in an incentivized context. The intent of this collaboration is twofold: (1) we study how to design efficient data-driven experiences to help people build an intuition concerning the sustainability of daily choices and actions; (2) we explore the mutual benefit of working across disciplinary boundaries to go beyond the limits of our respective methodological toolboxes. We illustrate our approach through an example of a work-in-progress.
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