Personal Data Comics: A Data Storytelling Approach Supporting Personal Data Literacy

Most people interact with digital technologies that collect personal data about their behavior and experiences, leaving behind a data trail. The data within this trail is abstract and difficult to interpret; still, people often need to decide about its collection and distribution. Hence, it is paramount to support personal data literacy, for...

Dataslip: Into the Present and Future(s) of Personal Data

Most people are entangled with an ever-growing trail of data that results from their daily interactions with products and services. Yet, they are hardly aware of the nature and characteristics of the data within this trail. We design dataslip, a provocative artifact that materializes the personal data trail into a receipt and aims to elicit...

Beyond data transactions: a framework for meaningfully informed data donation

As we navigate physical (e.g., supermarket) and digital (e.g., social media) systems, we generate personal data about our behavior. Researchers and designers increasingly rely on this data and appeal to several approaches to collect it. One of these is data donation, which encourages people to voluntarily transfer their (personal) data...

What is Sensitive About (Sensitive) Data? Characterizing Sensitivity and Intimacy with Google Assistant Users

Digital technologies have increasingly integrated into people's lives, continuously capturing their behavior through potentially sensitive data. In the context of voice assistants, there is a misalignment between experts, regulators, and users on whether and what data is 'sensitive', partly due to how data is presented to users; as single...

Understanding the Challenges around Design Activities that Incorporate Behavioral Data

Recently, methods and approaches such as Participatory Data Analysis, Data-Enabled Design, and Contextual Inquiry have highlighted how design activities can benefit from behavioral data. This data offers new ways to learn from what people do and how they do it, across time and space. However, behavioral data introduces changes and frictions to...

Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies

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...

Towards Designerly Data Donation

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...

Students as Future Workers: Cross-border Multidisciplinary Learning Labs in Higher Education

One promising way to cope with changing requirements from the labor market in the domain of Science, Technology, Engineering and Mathematics (STEM), but also to keep the field up to date, to start innovations and to advance the STEM domain as such is the use of student labs. In these labs, students work together in small groups imitating...

The Internet of Things for the Open Sharing Economy

In this paper we raise the question of how to enable groups of individuals to collaboratively design, implement and maintain IoT-enabled sharing economy services. We argue that there is a need for HCI research to engage with the whole lifecycle of sharing services, from inception and design to operation and use. In particular, we motivate the...