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Against the background of environmental problems arising from the growing extraction of natural resources and resource depletion, achieving a sustainable development is an indispensable challenge in the twenty-first century. In this article we want to show how socio-technical and product-service innovations can change social practices - the routine doings in everyday life - and, thus, support transition of socio-technical systems. We introduce theoretical considerations on how social practice theories and the framework of the Multi-Level Perspective in transition research can be linked to better understand transition processes from a micro-macro-link perspective. We then present cases based on desk research in the field of practices in bathing, heating and nutrition to show how these have changed over the past decades. Building on this, examples of concepts for sustainable product-service-design in these areas are introduced as leverage points to change social practices in everyday life. These have been developed in research projects or design student seminar works, respectively. We argue that this implies sustainable product-service-systems should be developed in a user- and actor-integrated framework, such as Sustainable LivingLabs. The integration of users and other stakeholders into participatory co-creation processes enables tailored solutions that take actual routines and dependencies seriously into account.
In the face of growing popularity of eco-feedback innovations, recent studies draw attention to the relevance of the human factor for a more effective design of eco-feedback. This paper explores these challenges more deeply by employing a mixed methods approach. We provide in-situ insights from a Living Lab experiment on the effect of smart home systems and traffic light feedback on heating energy consumption in private households. Our results from an interrupted time series analysis of logged data on indoor room temperature, CO2 concentration and consumption of natural gas show that the interventions do not affect heating as expected, neither for automating behaviour via high-tech smart home systems nor via low-tech traffic light feedback. Smart home systems do not promise a significant reduction of heating energy consumption and a traffic light feedback on indoor air quality does not lead to a reaction of indoor CO2 concentrations, but may reduce heating energy consumption. Qualitative interviews on heating practices of participants suggests that comfort temperatures, lack of competences and inert heating systems do override expected effects of the feedback interventions. We propose that high-tech smart home systems should carefully consider the handling competences of users. Low-tech feedback products on the other hand should by design stronger address user experience factors like comfort temperatures.