Connected Baby Bottle

Abstract

This paper presents the design case study of a connected baby bottle, which is used as an exploration towards a data-enabled design framework for designing intelligent products, services and ecosystems targeting behavior change. We explore how contextual, behavioral and experiential data can be used as design material for remote insight collection and remote design intervention. The first "contextual" iteration sets out to understand the design context with its complexities, based on a combination of quantitative sensor data and qualitative interview sessions. The second "informed" iteration utilizes design probes, remotely connected to a data-canvas, to explore behavioral, experiential and contextual consequences of design interventions. The dynamic and open character of the introduced data-canvas allowed us to iterate quickly without requiring physical presence of the designer. Finally, we translate the findings from this case study into a two step model for data-enabled design that we further discuss to outline what next steps are required towards constructing a framework for data enabled design.