My research combines my interests in psychology and design, and includes a variety of human factors issues, data visualization, and graphic design.
I’m applying my background in vision science to empirical investigations of typeface legibility, trying to figure out what makes one typeface easier to read than another, as well as how we can measure something like “legibility” quickly and effectively.
At the same time, I am also studying how voice interfaces impact drivers in the vehicle, and how these new types of technologies influence behavior, cognitive distraction, and physiological arousal.
Dobres, J., Chahine, N., Reimer, B., Gould, D., Mehler, B., & Coughlin, J. F. (2016). Utilising psychophysical techniques to investigate the effects of age, typeface design, size and display polarity on glance legibility. Ergonomics, 59(10), 1377–1391.
Mehler, B., Kidd, D., Reimer, B., Reagan, I., Dobres, J., & McCartt, A. (2015). Multi-modal assessment of on-road demand of voice and manual phone calling and voice navigation entry across two embedded vehicle systems. Ergonomics, 1–24.
Wang, Y., Reimer, B., Dobres, J., & Mehler, B (2014). The sensitivity of different methodologies for characterizing drivers' gaze concentration under increased cognitive demand. Transportation Research Part F: Traffic Psychology & Behaviour, 26(Part A), 227–237.
Maps make for some fun data visualizations, but should be used with care. Here I investigate several different ways of mapping and visualizing the same dataset.
In which we learn some of the inner secrets of Hadley Wickham’s venerable R package.
So you want to be a data analyst, huh?
Apple and Google are developing the yin and yang of in-vehicle interaction paradigms.