With the advance of the Internet and the Internet of Things, an abundance of 'big' data becomes available. Data science can be incorporated in design, which brings forward various opportunities for designers to benefit from this new material. However, the designer's perspective and their role remains unclear. How do they think about and approach data? What do they want to achieve with this data? What do they need to take ownership of designing with data? In this paper we take a design perspective to map the opportunities and challenges of leveraging large data-sets as part of the design process. We rely on a survey with 75 participants across a Faculty of Industrial Design Engineering and in-depth reflective interviews with a subset of 9 participants. We discuss the impact of data on the roles designers can adopt as well as an approach to designing with data. This work aims to inform on educational support, data literacy and tools needed for designers to take advantage of this new era of design digitalisation.

Ubiquitous wearable and mobile technologies generate vast amounts of data from sensors and self-logging applications. This data creates opportunities to better understand people's behavior and inform research on intimate topics such as menstruation. However, in design and HCI research, reconstructing the context in which data was collected and understanding the lived experience behind the data often requires the active participation of people. In this paper, we augment the concept of data donation beyond data collection to explore the possibilities of actively engaging data donors in the (intimate) interpretation of their data. Specifically, we define and implement a menstrual logs data donation journey. We received data sets from 35 donors over five weeks, 13 of whom participated in reconstructing the context of their data. We translate our experience into a conceptualization of designerly data donation around the data, data donors, and data receivers, which we discuss along with its implications. CCS CONCEPTS• Human-centered computing → HCI theory, concepts and models.

In-the-wild research allows the HCI community to gain insights into personal behaviour and characteristics. For designers and researchers, this means having access to rich spatiotemporal insights reflecting user's characteristics, behaviours, and needs. However, designerly contexts require contextualized and meaningful data, and collecting it in-the-wild involves a great effort. In addition, ethical implications need to be considered. In this paper, we propose designerly data donation, a participatory approach for data collection in-the-wild, as an effective and ethical way to enable data-centric design processes. We present the potential benefits of designerly data donation around three axes: value gain, data contextualization, and roles and relationships. And we introduce the challenges of designerly data donation at the intersection of HCI, UbiComp, and design. CCS CONCEPTS• Human-centered computing → HCI theory, concepts and models.

Designers and HCI researchers from industry and academia have been exploring the opportunities that emerge from incorporating behavioral data into the design process. For this, designers employ and combine data from multiple sources, multiple scales, and types to obtain valuable insights that inform and support design decisions. This combination unfolds through interdisciplinary collaborations, enabled by various methods and approaches, including participatory data analysis, sense-making interviews, co-design workshops, and data storytelling. However, due to the personal nature of behavioral data and the open-ended, iterative approach of Human-Centered Design, data-centric design activities clash with current HCI and data science practices. As both industry and academia increasingly use data-centric design processes, we recognize a need to share both examples and experiences to reinforce that most practices (and failed experiences) do not yet emerge solely from the literature. In this Special Interest Group, we aim to provide a space for design, data, and HCI researchers and practitioners to connect, reflect on the current practices, and explore potential approaches to further integrating behavioral data into design activities. CCS CONCEPTS• Human-centered computing → HCI theory, concepts and models.

Behavioral data is ubiquitous in products, services, and systems that people interact with. It is increasingly used by design and HCI researchers and practitioners throughout their human-centered and participatory design processes. The highly dynamic nature of behavioral data makes it deeply intertwined with people, their behavior, and their experiences. Thus, it presents unique opportunities and challenges. This Special Interest Group will provide a space to refect and discuss efective and responsible ways to engage with behavioral data in human-centered design processes. We will explore questions about the types and scale of data used, the contexts in which data is embedded and applied, the methods we rely on, and the forms of engagement of the multiple stakeholders. In doing so, our goal is to collaboratively develop a research agenda, setting the scope for an annual, international symposium on Data-Centric Design. CCS CONCEPTS• Human-centered computing → Interaction design process and methods.