Smart solutions provide increasing quality and availability of data. This brings new challenges for designers as it offers novel design opportunities and interlaces disciplines. At the same time, physical inactivity is a big societal challenge and dedicated urban planning and design can contribute to more active lifestyles. In this paper, we investigate how user-generated big data can support designers in shaping more activity-friendly and adaptive environments, addressing both timely challenges. Bridging the fields of HCI and urbanism, we introduce two data lenses. The individual lens primarily builds on empathic design skills and calls for a highly personal approach. The collective lens emphasizes systematic and holistic design skills, focusing on creating overview and surfacing collective interests. Through exploratory data visualizations, using a large dataset from a run-tracking smartphone application combined with public data sources, and a workshop, we investigate how these lenses can yield meaningful insights. We discuss the value of these lenses to the urban design and HCI communities and address the challenges and opportunities that arise at the cross-section of these perspectives.

This paper presents a design case study from industry that explores designing for personal health ecosystems. Following on from previous work on ecologies that gives a predominantly theoretical perspective, we present a more applied and design-oriented perspective. To do so, we build on our previously-developed data-enabled design approach, which utilizes contextual, behavioral and experiential data from situated design experiments as creative material. This approach comprises two steps, of which this paper presents the first (contextual) step. We introduced a small adaptable ecosystem of multiple artifacts, in four family homes over a period of eight weeks, through which we explored and further expanded on valuable ecosystem relationships. The insights gained were translated into three design opportunities that inform a future second step. We highlight and discuss practical examples from our situated explorations, and discuss how our data-enabled design approach served in designing for the complexity and versatility inherent to these ecosystems.

This paper presents a designerly exploration of the potential values of parent-tracked baby data in interactions between parents and healthcare professionals (HCPs). Where previous work has used parent-tracked data as part of the solution to a problem, we contribute by starting our design exploration from data, using it as creative material in our design process. As we intend to work towards a system that could be viable across different levels of care, we invited three different types of HCPs and five families with newborns, for a five-week situated design exploration. Facilitated by an open and dynamic data collection toolkit, parents and HCPs could together decide what data to collect. In a continuous dialogue, they reflected on the relevance of that data in their interaction. Based on this, we continuously and remotely developed two concepts.

The growth of the Internet of Things (IoT) application within the health- and wellbeing domain enables individuals to monitor their health. Acquired data can be used privately, contribute to clinical databases, or for research. The amount of health and wellbeing tracking devices introduces complexity in data aggregation and scattered overviews. Few services exist to aggregate health data. Current services raise privacy concerns. Consume is a service for aggregating authentication and authorisation for Application Programming Interfaces (APIs). Consume aims at research and allows to add existing and custom APIs on-the-fly without restarting services.

In this paper, we discuss how the implementation of design-inclusive User Experience Research (UXR) has influenced the composition of UXR and design activities in the industrial setting of Philips Design. We present three design case studies that were executed in a time span of three years: a baby sleep project; a pregnancy project; and a baby bottle-feeding project. Through a retrospective analysis we conclude that the approach adopted in these cases progressed from complete separation of UXR and design activities to design-inclusive UXR in which design forms an integral part of research. This is reflected by a rearrangement of project activities to identify, envision, enable and evaluate user experiences. Previously the UXR (identify and evaluate) and design (envision and enable) activities were executed sequentially. Now, these four project activities merge in studying design interventions in context over a prolonged time, to iteratively explore and advance UX design qualities.

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.