Fabius Steinberger

QUT Urban Informatics > Team > Fabius Steinberger

Fabius Steinberger is an Automotive User Experience researcher with the Urban Informatics Research Lab. Through his work, he is also affiliated with the Centre for Accident Research & Road Safety (CARRS­-Q). His background is Human-Computer Interaction, IT, and Technology Management with degrees from LMU and CDTM Munich.

View Fabius Steinberger's publications on QUT ePrints
Research Interests
  • Automotive UX / UI / HMI
  • Connected and automated driving
  • Human-computer interaction
  • Mental and psychophysiological states
  • Urban mobility and smart cities
Research Experience
  • Best Paper Award at CHI 2017 (top 1% of 2,400 submissions)
  • Publications in the fields of Human-Computer Interaction, Urban Informatics, Road Safety Psychology, and Mobility
  • Associate program chair at AutoUI 2017; volunteer co-coordinator at OzCHI 2016 and DIS 2016
  • Runner-Up Award at BMW Summer School 2016
  • Summer Doctoral Programme 2015 at University of Oxford
  • Collaborations with or visits at Stanford University, RMIT Melbourne, University of Munich
  • Peer reviewer for CHI 2014, 2016, 2017; DIS 2016; AutoUI 2014, 2015, 2016, 2017; OzCHI 2013, 2015, 2016; ICTTP 2016; AIDSR 2015; AmI 2014;
Teaching Experience
  • Design Thinking and User Experience
  • iOS App Development
  • Human-Computer Interaction
  • Software Engineering
  • Digital Media and Technologies
PhD Research: Risky Gadgets to the Rescue – Reframing In-Car Technology Use as Task Engagement

Mobility, like many other aspects of everyday life, is increasingly augmented by digital technologies. In an age where personal smart devices are omnipresent, driver distractions have become a major global concern in road safety. In this thesis, I argue that low task engagement and boredom can trigger individuals to seek distractions. Prior research focussed on exogenous distractions and minimising workload, but driver boredom and low task engagement are not well understood. In light of increasing vehicle automation, I argue that understanding these states will only become more significant. Addressing driver boredom and the prevalence of smart devices, I raise the question of how to reframe in-car technology use as task engagement. In summary, the research aims are to (1) understand driver boredom; (2) design interventions that increase engagement in the driving task, and; (3) evaluate the effects of such interventions. To address these distinct aims, I applied three methodologies: phenomenology, research through design, and experimental research. The study’s contributions pave the way for new approaches to enhancing task engagement in conventional and semi-automated driving as well as in other vigilance settings.