Human-Data Interaction (HDI) is an emerging challenging problem that explores how data is collected from people and from the sensed environment, how it is analysed and shared, and how people interact with it both as innovators and as end-users.

In this regard, the study of human-data interaction has strong links to the study of data literacy, which can be defined as ‘the ability to ask and answer real-world questions from large and small data sets through an inquiry process, with consideration of ethical use of data. It is based on core practical and creative skills, with the ability to extend knowledge of specialist data handling skills according to goals.’

The HDI group at LUT has a particular focus on understanding how non-experts, such as citizens (young and old), can collect data, or make use of open data, for experimentation. To support this, data should be made interesting, relevant and even fun! The existing barriers to finding and using open data must be stripped away, providing new ways that people can find, understand, link and tell stories from it.

The HDI group at LUT are combining expertise from co-design, data science, citizen science, technology-enhanced learning and HCI to understand how humans interact with data. The HDI group is linked with the CODER lab, which provides an infrastructure to support design processes with large data sets and to undertake studies of human-data interaction through an interactive wall.

Areas of interest include:

  • Data Games: gamified interactions to support the use of data and building new data literacies
  • Interfaces: new interface design for open data
  • Datamaking: tools and methods for prototyping with data
  • Physical data: tangible interactions with real-time data
  • Data Storytelling: new representations of data to support finding and telling stories with data
  • Co-design: adapting user-centred methods to support co-design from and around complex data
  • Child-data interaction: engaging children to learn with data
  • Data cognition: mental models of Internet of Things (IoT)
  • Data engagement: motivating and measuring engagement, emotion studies